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@misc{aboumahboub2020,
title = {{{REMIND}} - {{REgional}} Model of {{INvestments}} and Development - Version 2.1.0},
author = {Aboumahboub, Tino and Auer, Cornelia and Bauer, Nico and Baumstark, Lavinia and Bertram, Christoph and Bi, Stephen and Dietrich, Jan and Dirnaichner, Alois and Giannousakis, Anastasis and Haller, Markus and Hilaire, Jerome and Klein, David and Koch, Johannes and K{\"o}rner, Alexander and Kriegler, Elmar and Leimbach, Marian and Levesque, Antoine and Lorenz, Alexander and Luderer, Gunnar and Ludig, Sylvie and L{\"u}ken, Michael and Malik, Aman and Manger, Susanne and Merfort, Leon and Mouratiadou, Ioanna and Pehl, Michaja and Pietzker, Robert and Piontek, Franziska and Popin, Laura and Rauner, Sebastian and Rodrigues, Renato and Roming, Niklas and Rottoli, Marianna and Schmidt, Eva and Schreyer, Felix and Schultes, Anselm and S{\"o}rgel, Bj{\"o}rn and Strefler, Jessica and Ueckerdt, Falko},
year = {2020-03-27, 2020}
}
@article{absar2021,
title = {Bridging Global Socioeconomic Scenarios with Policy Adaptations to Examine Energy-Water Tradeoffs},
author = {Absar, Syeda Mariya and McManamay, Ryan A. and Preston, Benjamin L. and Taylor, Adam M.},
year = {2021},
month = feb,
journal = {Energy Policy},
volume = {149},
pages = {111911},
issn = {0301-4215},
doi = {10.1016/j.enpol.2020.111911},
urldate = {2024-02-22},
abstract = {Scenarios are commonly used to evaluate the environmental implications of future alternative energy pathways - they provide a benchmark for policy-makers to evaluate social, economic or environmental tradeoffs of various policies and their benefits to society. However, scenarios may leave policy-makers incognizant of potential technological hurdles, economic costs, or unforeseen environmental consequences of energy pathways, prior to venturing into long-term, binding decisions. Herein, we present a framework to bridge global socioeconomic scenarios with in situ energy policy assumptions to ensure technological alternatives can be evaluated and compared relative to realistic techno-economic constraints, environmental tradeoffs, and potential vulnerabilities arising from climate stress. We integrate downscaled Shared Socioeconomic Pathways (SSPs) with prospective Life Cycle Assessment as a framework to understand the technical specifications, i.e. raw materials, energy inputs, and environmental impacts, of alternative energy policy assumptions. We apply our integrated framework to understand the technological implications, particularly greenhouse gas emissions and water consumption, of future energy policies surrounding the practice of hydraulic fracturing in Texas, and the implications of potential adaptive responses to climate change. Results indicated that trade-offs between water conservation and greenhouse gas mitigation are inherent to hydraulic fracturing processes, necessitating careful consideration of technology options to balance environmental objectives.},
keywords = {Adaptation scenarios,Energy-water nexus,Scenario-based life cycle assessment,Shared policy assumptions,Shared socioeconomic pathways},
file = {C\:\\Users\\matth\\Zotero\\storage\\FGVU6KNV\\Absar et al. - 2021 - Bridging global socioeconomic scenarios with polic.pdf;C\:\\Users\\matth\\Zotero\\storage\\Z27HF8QI\\S0301421520306224.html}
}
@article{addanki2024,
title = {Impuls-Urbs: {{Integration}} of Life Cycle Assessment into Energy System Models},
shorttitle = {Impuls-Urbs},
author = {Addanki, Thushara and Cadavid Isaza, Andrea and De La R{\'u}a, Cristina and Odersky, Leonhard and Hamacher, Thomas},
year = {2024},
month = jul,
journal = {Renewable and Sustainable Energy Reviews},
volume = {198},
pages = {114422},
issn = {13640321},
doi = {10.1016/j.rser.2024.114422},
urldate = {2024-05-27},
langid = {english},
file = {C:\Users\matth\Zotero\storage\IIKNVGBZ\1-s2.0-S136403212400145X-main.pdf}
}
@article{agez2020,
title = {Lifting the Veil on the Correction of Double Counting Incidents in Hybrid Life Cycle Assessment},
author = {Agez, Maxime and Majeau-Bettez, Guillaume and Margni, Manuele and Str{\o}mman, Anders H. and Samson, R{\'e}jean},
year = {2020},
month = jun,
journal = {Journal of Industrial Ecology},
volume = {24},
number = {3},
pages = {517--533},
issn = {1088-1980, 1530-9290},
doi = {10.1111/jiec.12945},
urldate = {2023-06-29},
abstract = {Life cycle assessment (LCA) and environmentally extended input--output analyses (EEIOA) are two techniques commonly used to assess environmental impacts of an activity/product. Their strengths and weaknesses are complementary, and they are thus regularly combined to obtain hybrid LCAs. A number of approaches in hybrid LCA exist, which leads to different results. One of the differences is the method used to ensure that mixed LCA and EEIOA data do not overlap, which is referred to as correction for double counting. This aspect of hybrid LCA is often ignored in reports of hybrid assessments and no comprehensive study has been carried out on it. This article strives to list, compare, and analyze the different existing methods for the correction of double counting. We first harmonize the definitions of the existing correction methods and express them in a common notation, before introducing a streamlined variant. We then compare their respective assumptions and limitations. We discuss the loss of specific information regarding the studied activity/product and the loss of coherent financial representation caused by some of the correction methods. This analysis clarifies which techniques are most applicable to different tasks, from hybridizing individual LCA processes to integrating complete databases. We finally conclude by giving recommendations for future hybrid analyses.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\W48BM735\Agez et al. - 2020 - Lifting the veil on the correction of double count.pdf}
}
@phdthesis{agez2020a,
title = {{Am{\'e}lioration des bases de donn{\'e}es d'inventaires de cycle de vie par hybridation avec l'Input Output}},
author = {Agez, Maxime},
year = {2020},
langid = {french},
school = {Polytechnique Montr{\'e}al},
file = {C:\Users\matth\Zotero\storage\7C97WVJW\Amélioration_des_Bases_de_Donn.pdf}
}
@misc{agez2024,
title = {{{IMPACT World}}+ {{Version}} 2.1 / a Globally Regionalized Method for Life Cycle Impact Assessment},
author = {Agez, Maxime and Muller, Elliot and Bulle, C{\'e}cile and Debarre, Laura and Seitfudem, Georg and Viveros Santos, Ivan and Duval, Lisa},
year = {2024},
month = nov,
publisher = {Zenodo},
doi = {10.5281/ZENODO.14041258},
urldate = {2024-11-27},
abstract = {IMPACT World+ is a life cycle impact assessment method which characterizes thousands of substances spanning across various compartments and sub-compartments of the environment. It differentiates 19 impact categories at midpoint level and 34 impact categories at damage level. For more information on IW+, refer to our website and scientific article. For information on the updates of IMPACT World+, you can register to the newsletter of CIRAIG. The v2.1 update is the biggest update of the IMPACT World+ method in many years as it introduces new impact categories and updates many models with the latest available research. IMPACT World+ comes in three interpretation levels: midpoint, expert and footprint. You can find explanations for these three interpretation levels here. The expert and midpoint versions of IMPACT World+ also come with two different implementations regarding how to account for biogenic carbon. One with the traditional biogenic carbon neutrality approach (e.g., where biogenic carbon dioxide is set at 0 and biogenic methane is set at 27kgCO2eq for GWP100) and one including the uptake of biogenic carbon dioxide, where the release of biogenic carbon is therefore set at the same CFs as fossil carbon, but the uptake is with a negative sign, i.e., a -1/+1 approach for biogenic carbon (look for the files marked ``(incl. CO2 uptake)''). While we provide the -/+1 approach, we must make it clear to the users that this approach is heavily dependent on the quality of the inventory you are using, and that there are still issues currently with the LCI databases (even in ecoinvent 3.10). Furthermore, if you are using this approach, you either MUST adopt a cradle-to-grave approach to both account for the uptake and release of biogenic carbon (otherwise you will only account for the uptake of the carbon and have skewed results) or if you adopt a cradle-to-gate approach because you need to provide results to someone downstream of your supply chain you MUST communicate with that downstream user to tell them that they should account for the release of biogenic carbon in a -1/+1 approach also, otherwise, you and your downstream user will double count the benefits of using biogenic products, which is incorrect. This is especially true is the case of food products where the carbon emissions post consumption are typically not included in the inventories, which could result in a substantial under estimation of the impacts of this product over its life cycle. Description of the files - The dev file is a file useful for developers and maintainers of databases/datasets who wish to link IW+ 2.1 to their databases/datasets. It regroups all existing characterization factors of the IW+ LCIA method in an Excel format, using the terminology of IW+. - The "ecoinvent" files are Excel files matching with "pure" ecoinvent and its flow name terminology (as in unaltered by various software) in an Excel table. This is useful if you are using ecoinvent outside of LCA software. - The exiobase file links IW+ to the Exiobase GMRIO database. Once the file is read through pandas (pandas.read\_excel()), the resulting matrix can directly be multiplied to the environmental extensions of exiobase (S, F or F\_Y if using the pymrio package). - The openLCA file can be directly imported in the openLCA software as a JSON-LD file. - The SimaPro file can be directly imported in the SimaPro software as a CSV file. - The brightway2 files are ecoinvent-version dependent, so you need to select the correct file to work with the correct version of ecoinvent. Else, some of the ecoinvent flows which name did change in between versions of ecoinvent would not be characterized, leading to underestimated results. To import a file, you need to pass through brightway2 itself (it cannot be done through the activity-browser for now). The function to import a .bw2package file is bw2.BW2Package.import\_file(). - Finally, the source file regroups all the native information used by IW+ to derive the characterization factors. This file is primarily useful for the IW+ internal team. It is provided for transparency, as well as for curious users or users who wish to generate all these files themselves through the open-access code of IW+. New indicators - Plastic physical effect on biota This new indicator measures the effect of plastic resins emitted in the water environments (both freshwater and marine) on biota, in PDF.m2.yr. It also comes with a midpoint indicator in CTUe. This indicator is the result of the work of the MariLCA working group. - Fisheries impact This new indicator measures the impact on biodiversity of fisheries activities. It is only assessed at the ecosystem quality damage level (in PDF.m2.yr). This is based on the work of Stanford-Clark et al. - Marine ecotoxicity In the v2.1 we decided to finally integrate these two ecotoxicity indicators, at the damage level only. These are based on an old version of Usetox (v2.02). As the v3 of Usetox is on the verge of being released, all ecotoxicity and toxicity categories will be updated in the next version of IW+. - Terrestrial ecotoxicity In the v2.1 we decided to finally integrate these two ecotoxicity indicators, at the damage level only. These are based on an old version of Usetox (v2.02). As the v3 of Usetox is on the verge of being released, all ecotoxicity and toxicity categories will be updated in the next version of IW+. - Photochemical ozone formation For this impact category, IW+ adopts what the ReCiPe methodology recommends. In their 2016 update, ReCiPe renamed the indicator "Photochemical oxidant formation" to "Photochemical ozone formation". In addition, they calculated the impact of this category on ecosystem quality. There are thus two corresponding impact categories at damage level: "Photochemical ozone formation, human health" and "Photochemical ozone formation, ecosystem quality" Updated indicators - All climate change indicators IMPACT World+ v2.1 proposes the carbon neutrality approach (i.e., CO2-bio = 0) as well as the -1/+1 approach (CO2-bio uptake = -1 / CO2-bio release = +1). However, the latter is only available in the expert and midpoint versions. In the footprint version, the carbon neutrality assumption is still being used. Furthermore, we added CFs for temporary storage of biogenic carbon that can be used (e.g., Correction for delayed emissions, carbon dioxide, biogenic). - Climate change, human health In the v2.0.1, we updated the GWP100 and GTP100 indicators following the recommendations of the AR6 from the IPCC2021. Now in the v2.1, we are also updating our damage indicators for climate change to follow the AR6 recommendations. Notably, the cumulative AGTP500 used in the derivation of these CFs was recalculated with updated equations (which we obtained thanks to Yue He and Thomas Gasser from the International Institute for Applied Systems Analysis - IIASA). In addition, the effect factors were also updated. Previously it was based on data from the World Health Organization from 2003, it is now based on the WHO 2014 report as well as the work of L. Rupcic. - Climate change, ecosystem quality Similarly to the human health indicator the cumulative AGTP500 were recalculated. However, the effect factor was not updated yet for this impact category. - Particulate matter formation Those CFs were updated to the latest model from Fantke, et al. This is composed of a series of articles on updates to fate and effect factors This model now provides regionalized characterization factors per town of more than 100,000 inhabitants. The CFs at the town-level are available in the source file, but in the dev file and in the different software versions, we only provide national/regional (e.g., RER) as well as global values, aggregated from the town-level factors. - Water availability, human health Those CFs were updated to the latest model of L. Debarre (2024) [publication in review, link will be added once published]. This model includes a harmonization of methodology between the domestic and agriculture water use, updates the exposition factors using the latest Gross National Income data and updates the EF. Overall, the values of the characterization factors of this category have dramatically decreased, by a minimum of 65\%. - Water availability, terrestrial ecosystems While the original value of the characterization was not updated (e.g., 0.21 PDF.m2.yr in Netherlands), the regionalization was updated based on an estimation of depths of groundwater, based on Jasechko (2021). - Water scarcity Those CFs were updated to the latest update of the AWARE model Seitfudem (2024) [publication in review, link will be added once published]. - Fossil and nuclear energy use The HHV values were updated to match the updated HHVs in ecoinvent. - Ozone layer depletion Those CFs were adapted to match the latest data from the World Meteorological Organization (2022). In addition, the time horizon has now been extended to the infinite instead of limiting it to 500 years. Methodology For more detail on the methodology behind each impact category, refer to our Github, in the future it will be available directly on our website. Corrections In this section we only provide information on the major corrections that were made. For a full report of all the changes please refer to out Github. - There are challenges associated with using IMPACT World+ files across databases or software for which they were not specifically designed. For instance, this is why we now provide files adapted to particular ecoinvent versions in brightway2. Similarly, both SimaPro and openLCA periodically update the names of their elementary flows. When an impact assessment method has previously been imported into one of these tools, an embedded procedure in their update processes is supposed to adjust the characterization factor names in line with the new flow names, ensuring compatibility with the updated list. However, we lack detailed knowledge of this procedure, meaning we cannot guarantee that the updated versions of IW+ in these tools would align with our specific modeling choices. Likewise, the IW+ versions we provide for a given release of SimaPro or openLCA might be incompatible with previous or subsequent versions due to discrepancies in flow names and characterization factors. Consequently, users of these software should verify which flows are characterized and make adjustments if necessary. - Harmonization of regionalized flows Regionalized impact model do not operate at the same geographical granularity. In the previous version, some flows were characterized in one impact category but not in the other. For instance, the flow "Water, lake, US-TRE" was characterized for the "water scarcity" indicator but not for "Water availability, human health". All regionalized flows are now characterized for all the impact categories they affect. This is also true for the newest regionalized impact category (Particulate matter formation) where SO2 for example is regionalized at a much more granular level than in the freshwater acidification impact category. - Fossil and nuclear energy use For the SimaPro version of the v2.0.1, some flows that only exist in SimaPro were not characterized, such as "Oil, crude, 43.4 MJ per kg". Now they are properly characterized using the energy content value specified in the name. Results obtained with SimaPro will thus differ from results obtained with brightway2 and openLCA, since the latter do not use such flows and only use flow such as "Oil, crude". - Thermally polluted water In the v2.0.1, the flows "Water, turbine use, unspecified natural origin" were not linked to the correct proxy, which meant they did not impact the Thermally polluted water category, which underestimated the impact of this category. - The problem of "Nitrogen" "Nitrogen" can mean two different things. It can literally mean the "N" element, but it can also mean the "N2" molecule. The issue is that it is not clear in the LCI databases, which meaning does "Nitrogen" have. Previously, our understanding was that "Nitrogen" meant "N" but since then, ecoinvent notably, added formulas to the elementary flows they provide and associated the formula "N2" to their "Nitrogen" flows, indicating that they understand it as "N2" and not "N". Furthermore, in SimaPro and openLCA, the associated CAS number is generally "7727-37-9" which again corresponds to "N2". Thus, we now consider that ``Nitrogen'' represents dinitrogen, and thus does not impact the "Marine eutrophication" impact category anymore. We also corrected a previous mistake: N2O is not characterized anymore for this impact category.},
copyright = {Creative Commons Attribution Share Alike 4.0 International}
}
@misc{agez2024a,
title = {Trade Data from {{UN COMTRADE}} To-Be-Used with Regioinvent.},
author = {Agez, Maxime},
year = {2024},
month = jul,
publisher = {Zenodo},
doi = {10.5281/ZENODO.13146833},
urldate = {2024-09-03},
abstract = {The dataset contains import and export data of traded goods corresponding to ecoinvent products from the UN COMTRADE database. The only purpose of this dataset is to be used as an input to the Regioinvent Python package which can be found here: https://github.com/CIRAIG/Regioinvent ~ The "treated" file contains refined information from the UN COMTRADE database and should be the one used with regioinvent. The "untreated" version contains the original numbers from the UN COMTRADE database and is provided purely for transparency and replicability purposes.},
copyright = {Creative Commons Attribution 4.0 International}
}
@article{algunaibet2019,
title = {Quantifying the Cost of Leaving the {{Paris Agreement}} via the Integration of Life Cycle Assessment, Energy Systems Modeling and Monetization},
author = {Algunaibet, Ibrahim M. and Pozo, Carlos and {Gal{\'a}n-Mart{\'i}n}, {\'A}ngel and {Guill{\'e}n-Gos{\'a}lbez}, Gonzalo},
year = {2019},
month = may,
journal = {Applied Energy},
volume = {242},
pages = {588--601},
issn = {03062619},
doi = {10.1016/j.apenergy.2019.03.081},
urldate = {2023-02-24},
abstract = {Current energy systems models focus on cost minimization with a bound on some greenhouse gas emissions. This limited environmental scope can lead to mixes that are not consistent with our sustainable development. To circumvent this limitation, we here make use of the concept of monetization and life cycle assessment to quantify the indirect costs of electricity generation in the design of energy systems. Applying our approach to the United States, we found that the indirect costs of electricity generation could be reduced by as much as 63\% by meeting the Paris Agreement. Consequently, the total opportunity cost (i.e., direct and indirect costs) of withdrawing from the Paris Agreement and continuing with the current mix would be as high as 1103 {\textpm} 206 billion USD2013 in 2030 (i.e., 6\% of the United States gross domestic product in 2017). By optimizing the direct and indirect costs of electricity generation concurrently, we found an optimal ecological solution that attains total economic savings compared to the Paris Agreement mix of as much as 373 {\textpm} 164 billion USD2013 in 2030. Our work highlights the need to extend the environmental policies that regulate energy systems beyond the direct greenhouse emissions to consider other critical environmental criteria.},
langid = {english},
keywords = {monetization},
file = {C:\Users\matth\Zotero\storage\MFM8V7K9\Algunaibet et al. - 2019 - Quantifying the cost of leaving the Paris Agreemen.pdf}
}
@article{algunaibet2019a,
title = {Powering Sustainable Development within Planetary Boundaries},
author = {Algunaibet, Ibrahim M. and Pozo, Carlos and {Gal{\'a}n-Mart{\'i}n}, {\'A}ngel and Huijbregts, Mark A. J. and Mac Dowell, Niall and {Guill{\'e}n-Gos{\'a}lbez}, Gonzalo},
year = {2019},
journal = {Energy \& Environmental Science},
volume = {12},
number = {6},
pages = {1890--1900},
issn = {1754-5692, 1754-5706},
doi = {10.1039/C8EE03423K},
urldate = {2023-02-23},
abstract = {Designing energy systems within planetary boundaries is crucial to preserving the Earth's ecological capacity given the power sector's environmental footprint. , The concept of planetary boundaries identifies a safe space for humanity. Current energy systems are primarily designed with a focus on total cost minimization and bounds on greenhouse gas emissions. Omitting planetary boundaries in energy systems design can lead to energy mixes unable to power our sustainable development. To overcome this conceptual limitation, we here incorporate planetary boundaries into energy systems models, explicitly linking energy generation with the Earth's ecological limits. Taking the United States as a testbed, we found that the least cost energy mix that would meet the Paris Agreement 2 degrees Celsius target still transgresses five out of eight planetary boundaries. It is possible to meet seven out of eight planetary boundaries concurrently by incurring a doubling of the cost compared to the least cost energy mix solution (1.3\% of the United States gross domestic product in 2017). Due to the stringent downscaled planetary boundary on biogeochemical nitrogen flow, there is no energy mix in the United States capable of satisfying all planetary boundaries concurrently. Our work highlights the importance of considering planetary boundaries in energy systems design and paves the way for further research on how to effectively accomplish such integration in energy related studies.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\5WLBKU4R\Algunaibet et al. - 2019 - Powering sustainable development within planetary .pdf}
}
@article{algunaibet2019b,
title = {Life Cycle Burden-Shifting in Energy Systems Designed to Minimize Greenhouse Gas Emissions: {{Novel}} Analytical Method and Application to the {{United States}}},
shorttitle = {Life Cycle Burden-Shifting in Energy Systems Designed to Minimize Greenhouse Gas Emissions},
author = {Algunaibet, Ibrahim M. and {Guill{\'e}n-Gos{\'a}lbez}, Gonzalo},
year = {2019},
month = aug,
journal = {Journal of Cleaner Production},
volume = {229},
pages = {886--901},
issn = {09596526},
doi = {10.1016/j.jclepro.2019.04.276},
urldate = {2023-02-07},
abstract = {Energy systems are currently designed focusing only on minimizing their cost or, at most, including limits on greenhouse gas emissions. Unfortunately, electricity technologies performing well in global warming potential might not necessarily behave equally well across other sustainability criteria. Hence, policies focused solely on mitigating greenhouse gas emissions could potentially resolve one problem (i.e., climate change) by creating another, thereby leading to burden-shifting. Here, the occurrence and severity of burden-shifting in energy systems design are both investigated through the application of a novel approach integrating multi-objective optimization, life cycle assessment and multivariate regression based on elasticities. Environmental impacts are classified into three categories: no burden-shifting, total burden-shifting and partial burden-shifting, providing for the latter two a measure of their severity. Due to inherent trade-offs in the life cycle performance of technologies, discussed in detail in this work, the Paris Agreement 2 C targets would lead to burden-shifting in the United States (total or partial) in up to eight environmental impacts. On the other hand, stringent carbon emissions reductions in line with the 1.5 C targets can lead to burden-shifting in three environmental impacts. Indeed, in both cases undesirable increases in some damage categories of up to 1.64\% for every percentage increase in cost can take place as a result of more stringent limits on greenhouse gas emissions compared to the least cost solution. Overall, this work aims to foster fruitful discussions on how to generate energy within the Earth's ecological capacity by expanding the analysis beyond climate change.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\79ECBFYG\Algunaibet and Guillén-Gosálbez - 2019 - Life cycle burden-shifting in energy systems desig.pdf}
}
@article{allwood2010,
title = {Options for {{Achieving}} a 50\% {{Cut}} in {{Industrial Carbon Emissions}} by 2050},
author = {Allwood, Julian M. and Cullen, Jonathan M. and Milford, Rachel L.},
year = {2010},
month = mar,
journal = {Environmental Science \& Technology},
volume = {44},
number = {6},
pages = {1888--1894},
issn = {0013-936X, 1520-5851},
doi = {10.1021/es902909k},
urldate = {2024-01-04},
langid = {english},
file = {C:\Users\matth\Zotero\storage\SLXJD4EQ\Allwood et al. - 2010 - Options for Achieving a 50% Cut in Industrial Carb.pdf}
}
@article{arvesen2018,
title = {Deriving Life Cycle Assessment Coefficients for Application in Integrated Assessment Modelling},
author = {Arvesen, Anders and Luderer, Gunnar and Pehl, Michaja and Bodirsky, Benjamin Leon and Hertwich, Edgar G.},
year = {2018},
month = jan,
journal = {Environmental Modelling \& Software},
volume = {99},
pages = {111--125},
issn = {13648152},
doi = {10.1016/j.envsoft.2017.09.010},
urldate = {2023-02-13},
abstract = {The fields of life cycle assessment (LCA) and integrated assessment (IA) modelling today have similar interests in assessing macro-level transformation pathways with a broad view of environmental concerns. Prevailing IA models lack a life cycle perspective, while LCA has traditionally been static- and micro-oriented. We develop a general method for deriving coefficients from detailed, bottom-up LCA suitable for application in IA models, thus allowing IA analysts to explore the life cycle impacts of technology and scenario alternatives. The method decomposes LCA coefficients into life cycle phases and energy carrier use by industries, thus facilitating attribution of life cycle effects to appropriate years, and consistent and comprehensive use of IA model-specific scenario data when the LCA coefficients are applied in IA scenario modelling. We demonstrate the application of the method for global electricity supply to 2050 and provide numerical results (as supplementary material) for future use by IA analysts. {\copyright} 2017 Elsevier Ltd. All rights reserved.},
langid = {english},
keywords = {IAM},
file = {C\:\\Users\\matth\\Zotero\\storage\\8HAY2UXY\\Arvesen et al. - 2018 - Deriving life cycle assessment coefficients for ap.pdf;C\:\\Users\\matth\\Zotero\\storage\\PB2XUACQ\\1-s2.0-S1364815216304005-mmc1.docx;C\:\\Users\\matth\\Zotero\\storage\\WLHPFDZW\\1-s2.0-S1364815216304005-mmc2.xlsx}
}
@article{azarijafari2018,
title = {Assessing the Individual and Combined Effects of Uncertainty and Variability Sources in Comparative {{LCA}} of Pavements},
author = {AzariJafari, Hessam and Yahia, Ammar and Amor, Ben},
year = {2018},
month = sep,
journal = {The International Journal of Life Cycle Assessment},
volume = {23},
number = {9},
pages = {1888--1902},
issn = {0948-3349, 1614-7502},
doi = {10.1007/s11367-017-1400-1},
urldate = {2024-03-29},
langid = {english},
file = {C:\Users\matth\Zotero\storage\AHNQFYGK\AzariJafari et al. - 2018 - Assessing the individual and combined effects of u.pdf}
}
@misc{baader2023,
title = {Streamlining {{Energy Transition Scenarios}} to {{Key Policy Decisions}}},
author = {Baader, Florian Joseph and Moret, Stefano and Wiesemann, Wolfram and Staffell, Iain and Bardow, Andr{\'e}},
year = {2023},
publisher = {arXiv},
doi = {10.48550/ARXIV.2311.06625},
urldate = {2024-12-18},
abstract = {Uncertainties surrounding the energy transition often lead modelers to present large sets of scenarios that are challenging for policymakers to interpret and act upon. An alternative approach is to define a few qualitative storylines from stakeholder discussions, which can be affected by biases and infeasibilities. Leveraging decision trees, a popular machine-learning technique, we derive interpretable storylines from many quantitative scenarios and show how the key decisions in the energy transition are interlinked. Specifically, our results demonstrate that choosing a high deployment of renewables and sector coupling makes global decarbonization scenarios robust against uncertainties in climate sensitivity and demand. Also, the energy transition to a fossil-free Europe is primarily determined by choices on the roles of bioenergy, storage, and heat electrification. Our transferrable approach translates vast energy model results into a small set of critical decisions, guiding decision-makers in prioritizing the key factors that will shape the energy transition.},
copyright = {arXiv.org perpetual, non-exclusive license},
keywords = {FOS: Computer and information sciences,Machine Learning (cs.LG)}
}
@article{babonneau2021,
title = {An {{Oligopoly Game}} of {{CDR Strategy Deployment}} in a {{Steady-State Net-Zero Emission Climate Regime}}},
author = {Babonneau, Fr{\'e}d{\'e}ric and Bahn, Olivier and Haurie, Alain and Vielle, Marc},
year = {2021},
month = dec,
journal = {Environmental Modeling \& Assessment},
volume = {26},
number = {6},
pages = {969--984},
issn = {1420-2026, 1573-2967},
doi = {10.1007/s10666-020-09734-6},
urldate = {2024-03-26},
abstract = {In this paper, we propose a simple oligopoly game model to represent the interactions between coalitions of countries in deploying carbon dioxide removal (CDR) strategies in a steady-state net-zero emission climate regime that could take place by the end of the twenty-first century. The emission quotas and CDR activities obtained in the solution of this steady-state model could then be used as a target for end-of-period conditions in a dynamic integrated assessment analysis studying the transition to 2100. More precisely, we analyze a steady-state situation where m coalitions exist and behave as m players in a game of supplying emission rights on an international emission trading system. The quotas supplied by a coalition must correspond to the amount of CO2 captured through CDR activities in the corresponding world region. We use an extension of the computable general equilibrium model GEMINI-E3 to calibrate the payoff functions and compute an equilibrium solution in the noncooperative game.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\94TR3PF5\Babonneau et al. - 2021 - An Oligopoly Game of CDR Strategy Deployment in a .pdf}
}
@article{bach2018,
title = {Product {{Environmental Footprint}} ({{PEF}}) {{Pilot Phase}}---{{Comparability}} over {{Flexibility}}?},
author = {Bach, Vanessa and Lehmann, Annekatrin and G{\"o}rmer, Marcel and Finkbeiner, Matthias},
year = {2018},
month = aug,
journal = {Sustainability},
volume = {10},
number = {8},
pages = {2898},
issn = {2071-1050},
doi = {10.3390/su10082898},
urldate = {2023-10-06},
abstract = {The main goal of the European product environmental footprint (PEF) method is to increase comparability of environmental impacts of products within certain product categories by decreasing flexibility and therefore achieving reproducibility of results. Comparability is supposed to be further increased by developing product category specific rules (PEFCRs). The aim of this paper is to evaluate if the main goal of the PEF method has been achieved. This is done by a comprehensive analysis of the PEF guide, the current PEFCR guide, the developed PEFCRs, as well as the insights gained from participating in the pilot phase. The analysis reveals that the PEF method as well as its implementation in PEFCRs are not able to guarantee fair comparability due to shortcomings related to the (1) definition of product performance; (2) definition of the product category; (3) definition and determination of the representative product; (4) modeling of electricity; (5) requirements for the use of secondary data; (6) circular footprint formula; (7) life cycle impact assessment methods; and (8) approach to prioritize impact categories. For some of these shortcomings, recommendations for improvement are provided. This paper demonstrates that the PEF method has to be further improved to guarantee fair comparability.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\8JK49N8G\Bach et al. - 2018 - Product Environmental Footprint (PEF) Pilot Phase—.pdf}
}
@article{bachmann2023,
title = {Towards Circular Plastics within Planetary Boundaries},
author = {Bachmann, Marvin and Zibunas, Christian and Hartmann, Jan and Tulus, Victor and Suh, Sangwon and {Guill{\'e}n-Gos{\'a}lbez}, Gonzalo and Bardow, Andr{\'e}},
year = {2023},
month = mar,
journal = {Nature Sustainability},
volume = {6},
number = {5},
pages = {599--610},
issn = {2398-9629},
doi = {10.1038/s41893-022-01054-9},
urldate = {2024-09-23},
abstract = {Abstract The rapid growth of plastics production exacerbated the triple planetary crisis of habitat loss, plastic pollution and greenhouse gas (GHG) emissions. Circular strategies have been proposed for plastics to achieve net-zero GHG emissions. However, the implications of such circular strategies on absolute sustainability have not been examined on a planetary scale. This study links a bottom-up model covering both the production and end-of-life treatment of 90\% of global plastics to the planetary boundaries framework. Here we show that even a circular, climate-optimal plastics industry combining current recycling technologies with biomass utilization transgresses sustainability thresholds by up to four times. However, improving recycling technologies and recycling rates up to at least 75\% in combination with biomass and CO 2 utilization in plastics production can lead to a scenario in which plastics comply with their assigned safe operating space in 2030. Although being the key to sustainability and in improving the unquantified effect of novel entities on the biosphere, even enhanced recycling cannot cope with the growth in plastics demand predicted until 2050. Therefore, achieving absolute sustainability of plastics requires a fundamental change in our methods of both producing and using plastics.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\66DBK43H\Bachmann et al. - 2023 - Towards circular plastics within planetary boundar.pdf}
}
@article{bahn2005,
title = {Mathematical {{Modeling}} and {{Simulation Methods}} in {{Energy Systems}}},
author = {Bahn, O. and Haurie, A. and Zachary, Daniel S.},
year = {2005},
journal = {Mathematical Models, from Encyclopedia of Life Support Systems (EOLSS)},
abstract = {This paper presents an overview of the modeling approaches that are used to represent, understand and control the interactions between the economy of a region, its energy production / consumption system, and the environmental impact of these activities.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\HNBLXABL\httpgreenplanet.eolss.netEolssLognsearchdt.as.pdf}
}
@article{bahn2006,
title = {The Coupling of Optimal Economic Growth and Climate Dynamics},
author = {Bahn, Olivier and Drouet, Laurent and Edwards, Neil R. and Haurie, Alain and Knutti, Reto and Kypreos, Socrates and Stocker, Thomas F. and Vial, Jean-Philippe},
year = {2006},
month = nov,
journal = {Climatic Change},
volume = {79},
number = {1-2},
pages = {103--119},
issn = {0165-0009, 1573-1480},
doi = {10.1007/s10584-006-9108-4},
urldate = {2024-03-26},
copyright = {http://www.springer.com/tdm},
langid = {english},
file = {C:\Users\matth\Zotero\storage\TVCF59WQ\Bahn et al. - 2006 - The coupling of optimal economic growth and climat.pdf}
}
@article{bahn2015,
title = {Is There Room for Geoengineering in the Optimal Climate Policy Mix?},
author = {Bahn, Olivier and Chesney, Marc and Gheyssens, Jonathan and Knutti, Reto and Pana, Anca Claudia},
year = {2015},
month = apr,
journal = {Environmental Science \& Policy},
volume = {48},
pages = {67--76},
issn = {14629011},
doi = {10.1016/j.envsci.2014.12.014},
urldate = {2024-03-26},
langid = {english},
file = {C:\Users\matth\Zotero\storage\I7UBF9QU\Bahn et al. - 2015 - Is there room for geoengineering in the optimal cl.pdf}
}
@article{bahn2018,
title = {The {{Contribution}} of {{Mathematical Models}} to {{Climate Policy Design}}: A {{Researcher}}'s {{Perspective}}},
shorttitle = {The {{Contribution}} of {{Mathematical Models}} to {{Climate Policy Design}}},
author = {Bahn, O.},
year = {2018},
month = dec,
journal = {Environmental Modeling \& Assessment},
volume = {23},
number = {6},
pages = {691--701},
issn = {1420-2026, 1573-2967},
doi = {10.1007/s10666-018-9637-z},
urldate = {2024-03-26},
abstract = {Energy and the environment are closely interconnected. In particular, energy-related carbon dioxide emissions are major contributors to climate change. To analyze options within the energy sector to curb greenhouse gas emissions, or to study alternative climate strategies such as adaptation and geoengineering measures, policy-makers can rely on mathematical decision support models, in particular E3 (economy/energy/environment) models and integrated assessment models (IAMs). This paper reviews some of my recent contributions to climate policy design using different types of E3 models and IAMs.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\D37RYPQY\Bahn - 2018 - The Contribution of Mathematical Models to Climate.pdf}
}
@article{bahn2019,
title = {Will {{Adaptation Delay}} the {{Transition}} to {{Clean Energy Systems}}? {{An Analysis}} with {{AD-MERGE}}},
shorttitle = {Will {{Adaptation Delay}} the {{Transition}} to {{Clean Energy Systems}}?},
author = {Bahn, Olivier and Bruin, Kelly De and Fertel, Camille},
year = {2019},
month = jul,
journal = {The Energy Journal},
volume = {40},
number = {4},
pages = {207--234},
issn = {0195-6574, 1944-9089},
doi = {10.5547/01956574.40.4.obah},
urldate = {2024-03-26},
abstract = {Climate change is one of the greatest environmental challenges facing our planet in the foreseeable future, yet, despite international environmental agreements, global GHG emissions are still increasing. In this context, adaptation measures can play an important role in reducing climate impacts. These measures involve adjustments to economic or social structures to limit the impact of climate change without limiting climate change itself. To assess the interplay of adaptation and mitigation, we develop AD-MERGE, an integrated assessment model that includes both reactive (`flow') and proactive (`stock') adaptation strategies as well as a range of mitigation (energy) technologies. We find that applying adaptation optimally delays but does not prevent the transition to clean energy systems (carbon capture and sequestration systems, nuclear, and renewables). Moreover, applying both adaptation and mitigation is more effective than using just one.},
copyright = {http://journals.sagepub.com/page/policies/text-and-data-mining-license},
langid = {english},
file = {C:\Users\matth\Zotero\storage\ZTCVD25J\Bahn et al. - 2019 - Will Adaptation Delay the Transition to Clean Ener.pdf}
}
@article{bailey2020,
title = {Daily {{Tutor Scheduling Support}} at {{Hopeful Journeys Educational Center}}},
author = {Bailey, Matthew D. and Waddell, Lucas A.},
year = {2020},
month = sep,
journal = {INFORMS Journal on Applied Analytics},
volume = {50},
number = {5},
pages = {287--297},
issn = {2644-0865, 2644-0873},
doi = {10.1287/inte.2020.1039},
urldate = {2023-11-11},
abstract = {Hopeful Journeys Educational Center faces a daily task of assigning tutors to students subject to myriad complex rules and restrictions. The organization's mission, which is to provide individualized education to students with autism spectrum disorders and other developmental disabilities, as well as its limited operating budget and day-today resource/demand variability, makes this a uniquely challenging scheduling problem. When we first communicated with Hopeful Journeys, the organization was in critical need of an efficient methodology for producing daily schedules to replace its existing timeconsuming and error-prone manual approach. This paper describes the fully open-source, Excel-based optimization tool we developed to support Hopeful Journeys' mission. Our work illustrates the potential to use freely available operations research tools within a ``rapid prototyping'' approach to provide immediate impact to organizations that lack the resources to utilize commercial software or professional consultants.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\AVHTIYBA\Bailey and Waddell - 2020 - Daily Tutor Scheduling Support at Hopeful Journeys.pdf}
}
@article{barteczko-hibbert2014,
title = {A Multi-Period Mixed-Integer Linear Optimisation of Future Electricity Supply Considering Life Cycle Costs and Environmental Impacts},
author = {{Barteczko-Hibbert}, Christian and Bonis, Ioannis and Binns, Michael and Theodoropoulos, Constantinos and Azapagic, Adisa},
year = {2014},
month = nov,
journal = {Applied Energy},
volume = {133},
pages = {317--334},
issn = {03062619},
doi = {10.1016/j.apenergy.2014.07.066},
urldate = {2023-02-16},
abstract = {A multi-period mixed-integer linear programming model has been developed to help explore future pathways for electricity supply where costs and carbon reduction are a priority. The model follows a life cycle approach and can optimise on costs and on a number of environmental objectives. To illustrate the application, the model has been optimised on two objectives: whole system costs and global warming potential (GWP) using the UK as an example. Four different scenarios have been considered up to 2060, each assuming different electricity demand and carbon reduction targets. When optimising on system costs, they range from {\pounds}156.6 bn for the least carbon-constrained scenario with moderate increase in electricity demand to {\pounds}269.9 bn for the scenario with high demand and requiring 100\% decarbonisation of electricity supply by 2035. In optimisation on GWP, negative carbon emissions are achieved in all scenarios, ranging from {\`A}0.5 to {\`A}1.28 Gt CO2 eq. over the period, owing to biomass carbon capture and storage. Optimising on the GWP also reduces significantly other environmental impacts at costs comparable to optimised costs. This research shows that meeting carbon targets will require careful planning and consideration of objectives other than costs alone to ensure that optimal rather than suboptimal solutions are found for a more sustainable electricity supply.},
langid = {english},
keywords = {MOO},
file = {C:\Users\matth\Zotero\storage\3GW3VGVN\Barteczko-Hibbert et al. - 2014 - A multi-period mixed-integer linear optimisation o.pdf}
}
@article{bastos2023,
title = {Life-Cycle Assessment of Current and Future Electricity Supply Addressing Average and Marginal Hourly Demand: {{An}} Application to {{Italy}}},
shorttitle = {Life-Cycle Assessment of Current and Future Electricity Supply Addressing Average and Marginal Hourly Demand},
author = {Bastos, Joana and Prina, Matteo Giacomo and Garcia, Rita},
year = {2023},
month = may,
journal = {Journal of Cleaner Production},
volume = {399},
pages = {136563},
issn = {09596526},
doi = {10.1016/j.jclepro.2023.136563},
urldate = {2023-07-03},
abstract = {The increase in overall electricity demand in recent years, together with the rapid and significant changes in electricity generation has motivated increased research addressing environmental impacts of current and future electricity generation and supply systems. This article presents a comprehensive life-cycle assessment (LCA) of electricity generation and supply for the Italian current mix and future scenarios, for a wide set of environmental impacts and indicators, addressing intra-year variations, and including average and marginal demand impact perspectives. The generation mix was modelled for a 3-year period (2018--2020) with hourly and country-specific data, for the main generation technologies; and two future scenarios (for 2030) were modelled applying the EPLANopt energy system model. While future scenarios - with larger renewable energy shares - resulted in reduced environmental impacts in most categories, they were associated with burden shifts. In particular, increased shares of solar photovoltaic generation in future scenarios resulted in significant contributions to mineral and metal resource depletion and to land use impacts. The high penetration of renewable energy sources in future scenarios was also associated with important seasonal and hourly variations, demonstrating the importance of addressing intra-year temporal variations. Moreover, complementing an average with a marginal demand perspective provided insight on potential impacts of demand changes. When considering a marginal demand perspective, future scenarios offered no clear benefits in terms of global warming, for example. The research demonstrated the need for comprehensive and detailed environmental impact assessments with fine time resolution, which can assess seasonal and intra-daily variations, and the evaluation of environmental im\- pacts with both average and marginal demand perspectives highlighted the complementary nature of the two in providing insightful results. The approach is fully replicable to other countries and regions - it can improve LCAs of electricity generation and supply and provide robust results to adequately inform decision-making on elec\- tricity generation and demand management, toward more sustainable energy systems.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\63GLIKV7\Bastos et al. - 2023 - Life-cycle assessment of current and future electr.pdf}
}
@article{baumgartner2021,
title = {Life-{{Cycle Assessment}} of {{Sector-Coupled National Energy Systems}}: {{Environmental Impacts}} of {{Electricity}}, {{Heat}}, and {{Transportation}} in {{Germany Till}} 2050},
shorttitle = {Life-{{Cycle Assessment}} of {{Sector-Coupled National Energy Systems}}},
author = {Baumg{\"a}rtner, Nils and Deutz, Sarah and Reinert, Christiane and Nolzen, Niklas and Kuepper, Lucas Elias and Hennen, Maike and Hollermann, Dinah Elena and Bardow, Andr{\'e}},
year = {2021},
month = apr,
journal = {Frontiers in Energy Research},
volume = {9},
pages = {621502},
issn = {2296-598X},
doi = {10.3389/fenrg.2021.621502},
urldate = {2023-02-06},
abstract = {National energy models provide decarbonization strategies. Most national energy models focus on costs and greenhouse gas emissions only. However, this focus carries the risk that burdens shift to other environmental impacts. Energy models have therefore been extended by life-cycle assessment (LCA). Furthermore, deep decarbonization is only possible by targeting all high-emission sectors. Thus, we present a holistic national energy model that includes high-emission sectors and LCA. The model provides detailed environmental impacts for electricity, heat, and transport processes in Germany for meeting the climate targets up to 2050. Our results show that renewable energies and storage are key technologies for decarbonized energy systems. Furthermore, sector coupling is crucial and doubles electricity demand. Our LCA shows that environmental impacts shift from operation to infrastructure highlighting the importance of an impact assessment over the full life cycle. Decarbonization leads to many environmental cobenefits; however, it also increases freshwater ecotoxicity and depletion of metal and mineral resources. Thus, holistic planning of decarbonization strategies should also consider other environmental impacts.},
langid = {english},
file = {C\:\\Users\\matth\\Zotero\\storage\\4WHEZTRP\\Baumgärtner et al. - 2021 - Life-Cycle Assessment of Sector-Coupled National E.pdf;C\:\\Users\\matth\\Zotero\\storage\\A7GSMSC2\\Data Sheet 1.pdf}
}
@article{baumstark2021,
title = {{{REMIND2}}.1: Transformation and Innovation Dynamics of the Energy-Economic System within Climate and Sustainability Limits},
shorttitle = {{{REMIND2}}.1},
author = {Baumstark, Lavinia and Bauer, Nico and Benke, Falk and Bertram, Christoph and Bi, Stephen and Gong, Chen Chris and Dietrich, Jan Philipp and Dirnaichner, Alois and Giannousakis, Anastasis and Hilaire, J{\'e}r{\^o}me and Klein, David and Koch, Johannes and Leimbach, Marian and Levesque, Antoine and Madeddu, Silvia and Malik, Aman and Merfort, Anne and Merfort, Leon and Odenweller, Adrian and Pehl, Michaja and Pietzcker, Robert C. and Piontek, Franziska and Rauner, Sebastian and Rodrigues, Renato and Rottoli, Marianna and Schreyer, Felix and Schultes, Anselm and Soergel, Bjoern and Soergel, Dominika and Strefler, Jessica and Ueckerdt, Falko and Kriegler, Elmar and Luderer, Gunnar},
year = {2021},
month = oct,
journal = {Geoscientific Model Development},
volume = {14},
number = {10},
pages = {6571--6603},
publisher = {Copernicus GmbH},
issn = {1991-9603},
doi = {10.5194/gmd-14-6571-2021},
urldate = {2024-09-17},
abstract = {Abstract. This paper presents the new and now open-source version2.1 of the REgional Model of INvestments and Development (REMIND). REMIND,as an integrated assessment model (IAM), provides an integrated view of theglobal energy--economy--emissions system and explores self-consistenttransformation pathways. It describes a broad range of possible futures andtheir relation to technical and socio-economic developments as well aspolicy choices. REMIND is a multiregional model incorporating the economyand a detailed representation of the energy sector implemented in theGeneral Algebraic Modeling System (GAMS). It uses non-linear optimization toderive welfare-optimal regional transformation pathways of theenergy-economic system subject to climate and sustainability constraints forthe time horizon from 2005 to 2100. The resulting solution corresponds to thedecentralized market outcome under the assumptions of perfect foresight ofagents and internalization of external effects. REMIND enables the analyses oftechnology options and policy approaches for climate change mitigation withparticular strength in representing the scale-up of new technologies,including renewables and their integration in power markets. The REMIND codeis organized into modules that gather code relevant for specific topics.Interaction between different modules is made explicit via clearly definedsets of input and output variables. Each module can be represented by differentrealizations, enabling flexible configuration and extension. The spatialresolution of REMIND is flexible and depends on the resolution of the inputdata. Thus, the framework can be used for a variety of applications in acustomized form, balancing requirements for detail and overall runtime andcomplexity.},
copyright = {https://creativecommons.org/licenses/by/4.0/},
langid = {english},
file = {C:\Users\matth\Zotero\storage\YM54S44L\Baumstark et al. - 2021 - REMIND2.1 transformation and innovation dynamics .pdf}
}
@article{baustert2022,
title = {Integration of Future Water Scarcity and Electricity Supply into Prospective {{LCA}}: {{Application}} to the Assessment of Water Desalination for the Steel Industry},
shorttitle = {Integration of Future Water Scarcity and Electricity Supply into Prospective {{LCA}}},
author = {Baustert, Paul and Igos, Elorri and Schaubroeck, Thomas and Chion, Laurent and Mendoza Beltran, Angelica and Stehfest, Elke and {van Vuuren}, Detlef and Biemans, Hester and Benetto, Enrico},
year = {2022},
journal = {Journal of Industrial Ecology},
volume = {26},
number = {4},
pages = {1182--1194},
issn = {1530-9290},
doi = {10.1111/jiec.13272},
urldate = {2024-02-22},
abstract = {The urgency of tackling global environmental issues calls for radical technological and behavioral changes. New prospective (or ex ante) methods are needed to assess the impacts of these changes. Prospective life cycle assessment (LCA) can contribute by detailed analysis of environmental consequences. A new stream of research has taken up the challenge to create prospective life cycle inventory (LCI) databases, building on projections of integrated assessment models to describe future changes in technology use and their underlying environmental performance. The present work extends on this by addressing the research question on how to project life cycle impact assessment methods for water scarcity consistent with prospective LCI modeling. Water scarcity characterization factors are projected from 2010--2050 using the AWARE method, based on SSP-RCP scenario results of the integrated assessment model IMAGE. This work is coupled with prospective LCI databases, where electricity datasets are adapted based on the energy component of IMAGE for the same scenario. Based on this, an LCA case study of water desalination for the steel industry in Spain is presented. The resulting regional characterization factors show that some regions (i.e., the Iberian Peninsula) could experience an increase in water scarcity in the future. Results of the case study show how this can lead to trade-offs between climate change and water scarcity impacts and how disregarding such trends could lead to biased assessments. The relevance and limitations are finally discussed, highlighting further research needs, such as the temporalization of the impacts.},
langid = {english},
keywords = {desalination,industrial ecology,integrated assessment model,new technology,prospective LCA,water scarcity},
file = {C\:\\Users\\matth\\Zotero\\storage\\LZVVPP4J\\Baustert et al. - 2022 - Integration of future water scarcity and electrici.pdf;C\:\\Users\\matth\\Zotero\\storage\\LT4XTW7F\\jiec.html}
}
@article{bergesen2014,
title = {Thin-{{Film Photovoltaic Power Generation Offers Decreasing Greenhouse Gas Emissions}} and {{Increasing Environmental Co-benefits}} in the {{Long Term}}},
author = {Bergesen, Joseph D. and Heath, Garvin A. and Gibon, Thomas and Suh, Sangwon},
year = {2014},
month = aug,
journal = {Environmental Science \& Technology},
volume = {48},
number = {16},
pages = {9834--9843},
issn = {0013-936X, 1520-5851},
doi = {10.1021/es405539z},
urldate = {2023-04-17},
abstract = {Thin-film photovoltaic (PV) technologies have improved significantly recently, and similar improvements are projected into the future, warranting reevaluation of the environmental implications of PV to update and inform policy decisions. By conducting a hybrid life cycle assessment using the most recent manufacturing data and technology roadmaps, we compare present and projected environmental, human health, and natural resource implications of electricity generated from two common thin-film PV technologiescopper indium gallium selenide (CIGS) and cadmium telluride (CdTe)in the United States (U.S.) to those of the current U.S. electricity mix. We evaluate how the impacts of thin films can be reduced by likely costreducing technological changes: (1) module efficiency increases, (2) module dematerialization, (3) changes in upstream energy and materials production, and (4) end-of-life recycling of balance of system (BOS). Results show comparable environmental and resource impacts for CdTe and CIGS. Compared to the U.S. electricity mix in 2010, both perform at least 90\% better in 7 of 12 and at least 50\% better in 3 of 12 impact categories, with comparable land use, and increased metal depletion unless BOS recycling is ensured. Technological changes, particularly efficiency increases, contribute to 35-80\% reductions in all impacts by 2030.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\UNEC4PXV\Bergesen et al. - 2014 - Thin-Film Photovoltaic Power Generation Offers Dec.pdf}
}
@article{berrill2016,
title = {Environmental Impacts of High Penetration Renewable Energy Scenarios for {{Europe}}},
author = {Berrill, Peter and Arvesen, Anders and Scholz, Yvonne and Gils, Hans Christian and Hertwich, Edgar G},
year = {2016},
month = jan,
journal = {Environmental Research Letters},
volume = {11},
number = {1},
pages = {014012},
issn = {1748-9326},
doi = {10.1088/1748-9326/11/1/014012},
urldate = {2023-02-07},
langid = {english},
file = {C\:\\Users\\matth\\Zotero\\storage\\7F9MG9T7\\DLR_Energy_System_Model_REMix_short_description_2016.pdf;C\:\\Users\\matth\\Zotero\\storage\\KGZE8A23\\Berrill et al. - 2016 - Environmental impacts of high penetration renewabl.pdf}
}
@book{bhattacharyya2009,
title = {Energy {{Demand Models For Policy Formulation}}: {{A Comparative Study Of Energy Demand Models}}},
shorttitle = {Energy {{Demand Models For Policy Formulation}}},
author = {Bhattacharyya, Subhes C. and Timilsina, Govinda R.},
year = {2009},
month = mar,
series = {Policy {{Research Working Papers}}},
publisher = {The World Bank},
doi = {10.1596/1813-9450-4866},
urldate = {2023-04-28},
abstract = {This paper critically reviews existing energy demand forecasting methodologies highlighting the methodological diversities and developments over the past four decades in order to investigate whether the existing energy demand models are appropriate for capturing the specific features of developing countries. The study finds that two types of approaches, econometric and end-use accounting, are used in the existing energy demand models. Although energy demand models have greatly evolved since the early 1970s, key issues such as the poor-rich and urban-rural divides, traditional energy resources, and differentiation between commercial and non-commercial energy commodities are often poorly reflected in these models.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\G5EUDIRN\Bhattacharyya and Timilsina - 2009 - Energy Demand Models For Policy Formulation A Com.pdf}
}
@article{bhattacharyya2010,
title = {A Review of Energy System Models},
author = {Bhattacharyya, Subhes C. and Timilsina, Govinda R.},
year = {2010},
month = nov,
journal = {International Journal of Energy Sector Management},
volume = {4},
number = {4},
pages = {494--518},
issn = {1750-6220},
doi = {10.1108/17506221011092742},
urldate = {2023-02-27},
abstract = {Purpose -- The purpose of this paper is to provide a comparative overview of existing energy system models to see whether they are suitable for analysing energy, environment and climate change policies of developing countries.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\I2PNHPJ7\Bhattacharyya and Timilsina - 2010 - A review of energy system models.pdf}
}
@article{biganzioli2018,
title = {Supporting Information to the Characterisation Factors of Recommended {{EF Life Cycle Impact Assessment}} Methods},
author = {Biganzioli, S and Laurentiis, F De and Diaconu, S},
year = {2018},
abstract = {In 2013, the Environmental Footprint methodology has been established with a specific Recommendation (2013/179/EU), within the framework of the ``Single Market for Green Products'' communication (COM/2013/0196). The International Life Cycle Data system, developed since 2007, released in 2010 and continuously maintained by JRC, has been adopted in the EF framework. ILCD format and nomenclature were adopted as requirements for EF.},
langid = {english},
keywords = {EF 3.0},
file = {C:\Users\matth\Zotero\storage\8PUSIL53\Biganzioli et al. - Supporting information to the characterisation factors of recommended EF Life Cycle Impact Assessmen.pdf}
}
@article{bisinella2021,
title = {Environmental Assessment of Carbon Capture and Storage ({{CCS}}) as a Post-Treatment Technology in Waste Incineration},
author = {Bisinella, Valentina and Hulgaard, Tore and Riber, Christian and Damgaard, Anders and Christensen, Thomas H.},
year = {2021},
month = jun,
journal = {Waste Management},
volume = {128},
pages = {99--113},
issn = {0956053X},
doi = {10.1016/j.wasman.2021.04.046},
urldate = {2023-07-03},
abstract = {The effects of amending municipal solid waste incineration (MSWI) with carbon capture and storage (CCS) via MEA (Monoethanolamine) technology differ according to the air pollution control technologies and energy recovery systems. Electricity output reduces by one-third for power-only plants and halves for combined heat-and-power plants, while variations in heat recovery depend on the presence of flue gas condensation. MSWI with CCS can capture roughly 800 kg of compressed CO2 per tonne of waste treated. Life cycle assessment (LCA) modelling of MSWI, with and without CCS, illustrates that despite energy penalties, CCS lowers its climate change impact. The difference in climate change impacts as a result of CCS amendment depends on the energy system in which MSWI operates. In a near-future energy system, MSWI with CCS reduces climate change impacts by 700 kg CO2-eq/tonne wet waste compared to MSWI without CCS. The climate change saving of CCS became increasingly larger as the energy system became ``greener''; the climate change saving ultimately approached the capture efficiency (85\% of CO2 in the flue gas) multiplied by the carbon content of the waste converted to CO2. Sensitivity analysis showed that capture efficiency was the main factor affecting the overall results, with increasing importance in nonfossil fuel-based energy systems. Likely changes in residual waste composition, as source segregation and collection systems improve, had only minor effects on the environmental benefits of CCS. The effects of CCS amendments on 13 other impact categories were marginal compared to the effects of different MSWI configurations.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\QAF4U4PK\Bisinella et al. - 2021 - Environmental assessment of carbon capture and sto.pdf}
}
@article{bjorklund2012,
title = {Life Cycle Assessment as an Analytical Tool in Strategic Environmental Assessment. {{Lessons}} Learned from a Case Study on Municipal Energy Planning in {{Sweden}}},
author = {Bj{\"o}rklund, Anna},
year = {2012},
month = jan,
journal = {Environmental Impact Assessment Review},
volume = {32},
number = {1},
pages = {82--87},
issn = {01959255},
doi = {10.1016/j.eiar.2011.04.001},
urldate = {2023-02-02},
abstract = {Life cycle assessment (LCA) is explored as an analytical tool in strategic environmental assessment (SEA), illustrated by case where a previously developed SEA process was applied to municipal energy planning in Sweden. The process integrated decision-making tools for scenario planning, public participation and environmental assessment. This article describes the use of LCA for environmental assessment in this context, with focus on methodology and practical experiences. While LCA provides a systematic framework for the environmental assessment and a wider systems perspective than what is required in SEA, LCA cannot address all aspects of environmental impact required, and therefore needs to be complemented by other tools. The integration of LCA with tools for public participation and scenario planning posed certain methodological challenges, but provided an innovative approach to designing the scope of the environmental assessment and defining and assessing alternatives.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\2C7AWBQQ\Björklund - 2012 - Life cycle assessment as an analytical tool in str.pdf}
}
@article{bjorn2020,
title = {Review of Life-Cycle Based Methods for Absolute Environmental Sustainability Assessment and Their Applications},
author = {Bj{\o}rn, Anders and Chandrakumar, Chanjief and Boulay, Anne-Marie and Doka, Gabor and Fang, Kai and Gondran, Natacha and Hauschild, Michael Zwicky and Kerkhof, Annemarie and King, Henry and Margni, Manuele and McLaren, Sarah and Mueller, Carina and Owsianiak, Miko{\l}aj and Peters, Greg and Roos, Sandra and Sala, Serenella and Sandin, Gustav and Sim, Sarah and {Vargas-Gonzalez}, Marcial and Ryberg, Morten},
year = {2020},
month = aug,
journal = {Environmental Research Letters},
volume = {15},
number = {8},
pages = {083001},
issn = {1748-9326},
doi = {10.1088/1748-9326/ab89d7},
urldate = {2024-05-30},
abstract = {In many regions and at the planetary scale, human pressures on the environment exceed levels that natural systems can sustain. These pressures are caused by networks of human activities, which often extend across countries and continents due to global trade. This has led to an increasing requirement for methods that enable absolute environmental sustainability assessment (AESA) of anthropogenic systems and which have a basis in life cycle assessment (LCA). Such methods enable the comparison of environmental impacts of products, companies, nations, etc, with an assigned share of environmental carrying capacity for various impact categories. This study is the first systematic review of LCA-based AESA methods and their applications. After developing a framework for LCA-based AESA methods, we identified 45 relevant studies through an initial survey, database searches and citation analysis. We characterized these studies according to their intended application, impact categories, basis of carrying capacity estimates, spatial differentiation of environmental model and principles for assigning carrying capacity. We then characterized all method applications and synthesized their results. Based on this assessment, we present recommendations to practitioners on the selection and use of existing LCA-based AESA methods, as well as ways to perform assessments and communicate results to decision-makers. Furthermore, we identify future research priorities intended to extend coverage of all components of the proposed method framework, improve modeling and increase the applicability of methods.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\9M4IEEJR\Bjørn et al. - 2020 - Review of life-cycle based methods for absolute en.pdf}
}
@article{blanco2020,
title = {Life Cycle Assessment Integration into Energy System Models: {{An}} Application for {{Power-to-Methane}} in the {{EU}}},
shorttitle = {Life Cycle Assessment Integration into Energy System Models},
author = {Blanco, Herib and Codina, Victor and Laurent, Alexis and Nijs, Wouter and Mar{\'e}chal, Fran{\c c}ois and Faaij, Andr{\'e}},
year = {2020},
month = feb,
journal = {Applied Energy},
volume = {259},
pages = {114160},
issn = {03062619},
doi = {10.1016/j.apenergy.2019.114160},
urldate = {2023-02-06},
abstract = {As the EU energy system transitions to low carbon, the technology choices should consider a broader set of criteria. The use of Life Cycle Assessment (LCA) prevents burden shift across life cycle stages or impact categories, while the use of Energy System Models (ESM) allows evaluating alternative policies, capacity evolution and covering all the sectors. This study does an ex-post LCA analysis of results from JRC-EU-TIMES and estimates the environmental impact indicators across 18 categories in scenarios that achieve 80--95\% CO2 emission reduction by 2050. Results indicate that indirect CO2 emissions can be as large as direct ones for an 80\% CO2 reduction target and up to three times as large for 95\% CO2 reduction. Impact across most categories decreases by 20--40\% as the CO2 emission target becomes stricter. However, toxicity related impacts can become 35--100\% higher. The integrated framework was also used to evaluate the Power-to-Methane (PtM) system to relate the electricity mix and various CO2 sources to the PtM environmental impact. To be more attractive than natural gas, the climate change impact of the electricity used for PtM should be 123--181 gCO2eq/kWh when the CO2 comes from air or biogenic sources and 4--62 gCO2eq/kWh if the CO2 is from fossil fuels. PtM can have an impact up to 10 times larger for impact categories other than climate change. A system without PtM results in {\textasciitilde}4\% higher climate change impact and 9\% higher fossil depletion, while having 5--15\% lower impact for most of the other categories. This is based on a scenario where 9 parameters favor PtM deployment and establishes the upper bound of the environmental impact PtM can have. Further studies should work towards integrating LCA feedback into ESM and standardizing the methodology.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\BFS8WFAD\Blanco et al. - 2020 - Life cycle assessment integration into energy syst.pdf}
}
@article{boero2001,
title = {Water at Supercritical Conditions: {{A}} First Principles Study},
shorttitle = {Water at Supercritical Conditions},
author = {Boero, Mauro and Terakura, Kiyoyuki and Ikeshoji, Tamio and Liew, Chee Chin and Parrinello, Michele},
year = {2001},
month = aug,
journal = {The Journal of Chemical Physics},
volume = {115},
number = {5},
pages = {2219--2227},
issn = {0021-9606, 1089-7690},
doi = {10.1063/1.1379767},
urldate = {2024-01-23},
abstract = {We analyze, via first principles molecular dynamics, the structural and electronic properties of water close to and above the critical point. Contrary to the ordinary liquid state, at supercritical conditions the hydrogen bond network is destabilized to various extents and the continuous breaking and reformation of hydrogen bonded structures allow large density and dipole fluctuations that, in turn, can significantly affect the dielectric properties of the solvent. Close to the critical point, where the density is very low, small clusters, mainly dimers and trimers, are the dominant features, but many molecules exhibit no H-bond. On the other hand, at higher densities, more extended structures appear, but still a continuous network cannot form. In both cases, H-bond configurations that are anomalous with respect to the normal liquid phase appear. These features strongly affect the solvent properties of supercritical water with respect to those of ambient water. They most likely vary continuously as a function of temperature, pressure and density and, hence, can be tuned to optimize the desired chemical process.},
langid = {english}
}
@article{bohringer2008,
title = {Combining Bottom-up and Top-Down},
author = {B{\"o}hringer, Christoph and Rutherford, Thomas F.},
year = {2008},
month = mar,
journal = {Energy Economics},
volume = {30},
number = {2},
pages = {574--596},
issn = {01409883},
doi = {10.1016/j.eneco.2007.03.004},
urldate = {2023-03-02},
abstract = {We motivate the formulation of market equilibrium as a mixed complementarity problem which explicitly represents weak inequalities and complementarity between decision variables and equilibrium conditions. The complementarity format permits an energy-economy model to combine technological detail of a bottomup energy system with a second-best characterization of the over-all economy. Our primary objective is pedagogic. We first lay out the complementarity features of economic equilibrium and demonstrate how we can integrate bottom-up activity analysis into a top-down representation of the broader economy. We then provide a stylized numerical example of an integrated model --- within both static and dynamic settings. Finally, we present illustrative applications to three themes figuring prominently on the energy policy agenda of many industrialized countries: nuclear phase-out, green quotas, and environmental tax reforms.},
langid = {english},
keywords = {Bottom-up,Top-down},
file = {C:\Users\matth\Zotero\storage\LN3NE7D6\Böhringer and Rutherford - 2008 - Combining bottom-up and top-down.pdf}
}
@misc{bond-lamberty2023,
title = {{{JGCRI}}/Gcam-Core: {{GCAM}} 7.0},
shorttitle = {{{JGCRI}}/Gcam-Core},
author = {{Bond-Lamberty}, Ben and {Pralit Patel} and Lurz, Joshua and {Pkyle} and {Kvcalvin} and Smith, Steve and {Abigailsnyder} and Dorheim, Kalyn R. and {Mbins} and Link, Robert and {Skim301} and {Nealtg} and {Kanishka Narayan} and Aaron, S. and {Leyang Feng} and {Enlochner} and {Cwroney} and Lynch, Cary and {Jhoring} and {Zarrar Khan} and {Siddarthd96} and {Orourkepr} and {JonathanHuster} and {Haewon} and Waite, Taryn and Ou, Yang and {Gokul Iyer} and {Mwisepnnl} and Zhao, Xin and {Marideeweber}},
year = {2023},
month = jun,
doi = {10.5281/ZENODO.8010145},
urldate = {2024-02-22},
abstract = {New features include the following. For details see the updates page on our documentation site. Fix Extrapolation in Residue Biomass Add Land Use History Output Miscellaneous Bug Fixes Part 1 Add Exogenous Shutdown Decider Miscellaneous Bug Fixes Part 2 GCAM v6.0 transportation bugfix Adding fugitive CO2 emissions from fossil resources AgLU data and method updates (connecting land hectares to food calories) GCAM-USA nonCO2 GHG emissions in industrial and urban processes Detailed Natural Gas Trade [Natural Gas Final Grade Cost and Miscellaneous Solution Improvements Global Iron and Steel Trade GCAM Macro-Economic Module (KLEM Version) gcamdata chunk re-name Update to Hector v3 Bugfix before 7.0 Release},
copyright = {Open Access},
howpublished = {Zenodo}
}
@article{bos2016,
title = {{{LANCA}}{\textregistered} - {{Characterization Factors}} for {{Life Cycle Impact Assessment}}. {{Version}} 2.0.},
author = {Bos, Ulrike and Horn, Rafael and Beck, Tabea and Lindner, Jan Paul and Fischer, Matthias},
year = {2016},
publisher = {Fraunhofer-Gesellschaft},
doi = {10.24406/PUBLICA-FHG-297633},
urldate = {2025-01-09},
file = {C\:\\Users\\matth\\Zotero\\storage\\GC6RTGL2\\N-379310-1.xlsx;C\:\\Users\\matth\\Zotero\\storage\\Z9JST5R2\\N-379310.pdf}
}
@article{boubault2019,
title = {Closing the {{TIMES Integrated Assessment Model}} ({{TIAM}}-{{FR}}) {{Raw Materials Gap}} with {{Life Cycle Inventories}}},
author = {Boubault, Antoine and Kang, Seungwoo and Ma{\"i}zi, Nadia},
year = {2019},
month = jun,
journal = {Journal of Industrial Ecology},
volume = {23},
number = {3},
pages = {587--600},
issn = {1088-1980, 1530-9290},
doi = {10.1111/jiec.12780},
urldate = {2023-02-13},
langid = {english},
keywords = {IAM},
file = {C\:\\Users\\matth\\Zotero\\storage\\4JUQ96BY\\J of Industrial Ecology - 2018 - Boubault - Closing the TIMES Integrated Assessment Model TIAM‐FR Raw Materials Gap with.pdf;C\:\\Users\\matth\\Zotero\\storage\\CI82YNI2\\jiec12780-sup-0002-suppmat.xls;C\:\\Users\\matth\\Zotero\\storage\\LWXUMCJU\\jiec12780-sup-0001-suppmat.pdf}
}
@article{boulay2018,
title = {The {{WULCA}} Consensus Characterization Model for Water Scarcity Footprints: Assessing Impacts of Water Consumption Based on Available Water Remaining ({{AWARE}})},
shorttitle = {The {{WULCA}} Consensus Characterization Model for Water Scarcity Footprints},
author = {Boulay, Anne-Marie and Bare, Jane and Benini, Lorenzo and Berger, Markus and Lathuilli{\`e}re, Michael J. and Manzardo, Alessandro and Margni, Manuele and Motoshita, Masaharu and N{\'u}{\~n}ez, Montserrat and Pastor, Amandine Valerie and Ridoutt, Bradley and Oki, Taikan and Worbe, Sebastien and Pfister, Stephan},
year = {2018},
month = feb,
journal = {The International Journal of Life Cycle Assessment},
volume = {23},
number = {2},
pages = {368--378},
issn = {0948-3349, 1614-7502},
doi = {10.1007/s11367-017-1333-8},
urldate = {2025-01-09},
langid = {english},
file = {C\:\\Users\\matth\\Zotero\\storage\\DZ4E9AG3\\AWARE_other_indicators_country_regions-world_20230113-1.xlsx;C\:\\Users\\matth\\Zotero\\storage\\JZRKNJWE\\Boulay et al. - 2018 - The WULCA consensus characterization model for water scarcity footprints assessing impacts of water.pdf}
}
@article{brand2014,
title = {Multi-Criteria Analysis of Electricity Generation Mix Scenarios in {{Tunisia}}},
author = {Brand, Bernhard and Missaoui, Rafik},
year = {2014},
month = nov,
journal = {Renewable and Sustainable Energy Reviews},
volume = {39},
pages = {251--261},
issn = {13640321},
doi = {10.1016/j.rser.2014.07.069},
urldate = {2023-10-12},
abstract = {The diversification of the national electricity generation mix has risen to the top of Tunisia's energy planning agenda. Presently, natural gas provides 96\% of the primary energy for electric power generation, but declining domestic gas reserves and a soaring electricity demand are urgently calling for alternative fuel strategies. Currently discussed diversification options include the introduction of coal and nuclear power plants and/or an increased use of renewable energies. This article presents a methodology to assess different electricity system transformation strategies. By combining an electricity market model with a subsequent multi-criteria decision analysis (MCDA), we evaluate five power mix scenarios regarding power generation costs as well as non-economic dimensions such as energy security, environmental impact and social welfare effects. Based on criteria valuations obtained during consultations with Tunisian stakeholders, a final, bestranking electricity scenario was selected, consisting of 15\% wind, 15\% solar and 70\% natural gas-generated electricity in the national power mix by 2030.},
langid = {english},
keywords = {multi-criteria analysis},
file = {C:\Users\matth\Zotero\storage\CLLFR37R\Brand and Missaoui - 2014 - Multi-criteria analysis of electricity generation .pdf}
}
@article{brown2017,
title = {How Accounting for Climate and Health Impacts of Emissions Could Change the {{US}} Energy System},
author = {Brown, Kristen E. and Henze, Daven K. and Milford, Jana B.},
year = {2017},
month = mar,
journal = {Energy Policy},
volume = {102},
pages = {396--405},
issn = {03014215},
doi = {10.1016/j.enpol.2016.12.052},
urldate = {2023-02-16},
abstract = {This study aims to determine how incorporating damages into energy costs would impact the US energy system. Damages from health impacting pollutants (NOx, SO2, particulate matter -- PM, and volatile organic compounds -- VOCs) as well as greenhouse gases (GHGs) are accounted for by applying emissions fees equal to estimated external damages associated with life-cycle emissions. We determine that in a least-cost framework, fees reduce emissions, including those not targeted by the fees. Emissions reductions are achieved through the use of control technologies, energy efficiency, and shifting of fuels and technologies used in energy conversion. The emissions targeted by fees decrease, and larger fees lead to larger reductions. Compared to the base case with no fees, in 2045, SO2 emissions are reduced up to 70\%, NOx emissions up to 30\%, PM2.5 up to 45\%, and CO2 by as much as 36\%. Emissions of some pollutants, particularly VOCs and methane, sometimes increase when fees are applied. The co-benefit of reduction in non-targeted pollutants is not always larger for larger fees. The degree of co-reduced emissions depends on treatment of life-cycle emissions and the technology pathway used to achieve emissions reductions, including the mix of efficiency, fuel switching, and emissions control technologies.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\92QMMJVS\Brown et al. - 2017 - How accounting for climate and health impacts of e.pdf}
}
@mastersthesis{brun2022,
title = {Reducing {{Greenhouse Gas}} Emissions Is Not the Only Solution},
author = {Brun, Justine},
year = {2022},
collaborator = {Mar{\'e}chal, Fran{\c c}ois and Margni, Manuele and Schnidrig, Jonas},
langid = {english},
school = {EPFL},
file = {C:\Users\matth\Zotero\storage\PE4D3ZCA\Brun et al. - Reducing Greenhouse Gas emissions is not the only .pdf}
}
@article{bulle2019,
title = {{{IMPACT World}}+: A Globally Regionalized Life Cycle Impact Assessment Method},
shorttitle = {{{IMPACT World}}+},
author = {Bulle, C{\'e}cile and Margni, Manuele and Patouillard, Laure and Boulay, Anne-Marie and Bourgault, Guillaume and De Bruille, Vincent and Cao, Vi{\^e}t and Hauschild, Michael and Henderson, Andrew and Humbert, Sebastien and {Kashef-Haghighi}, Sormeh and Kounina, Anna and Laurent, Alexis and Levasseur, Annie and Liard, Gladys and Rosenbaum, Ralph K. and Roy, Pierre-Olivier and Shaked, Shanna and Fantke, Peter and Jolliet, Olivier},
year = {2019},
month = sep,
journal = {The International Journal of Life Cycle Assessment},
volume = {24},
number = {9},
pages = {1653--1674},
issn = {0948-3349, 1614-7502},
doi = {10.1007/s11367-019-01583-0},
urldate = {2023-09-21},
langid = {english},
file = {C:\Users\matth\Zotero\storage\FIWD7A32\Bulle et al. - 2019 - IMPACT World+ a globally regionalized life cycle .pdf}
}
@article{cajot2019,
title = {Interactive {{Optimization With Parallel Coordinates}}: {{Exploring Multidimensional Spaces}} for {{Decision Support}}},
shorttitle = {Interactive {{Optimization With Parallel Coordinates}}},
author = {Cajot, S{\'e}bastien and Sch{\"u}ler, Nils and Peter, Markus and Koch, Andreas and Mar{\'e}chal, Francois},
year = {2019},
month = jan,
journal = {Frontiers in ICT},
volume = {5},
pages = {32},
issn = {2297-198X},
doi = {10.3389/fict.2018.00032},
urldate = {2022-10-27},
abstract = {Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice, computational frameworks are required, which can handle and visualize many objectives simultaneously, provide optimal solutions quickly and representatively, all while remaining simple and intuitive to use and understand by practitioners. Addressing these issues, this work introduces SAGESSE (Systematic Analysis, Generation, Exploration, Steering and Synthesis Experience), a decision support methodology, which relies on interactive multiobjective optimization. Its innovative aspects reside in the combination of (i) parallel coordinates as a means to simultaneously explore and steer the underlying alternative generation process, (ii) a Sobol sequence to efficiently sample the points to explore in the objective space, and (iii) on-the-fly application of multiattribute decision analysis, cluster analysis and other data visualization techniques linked to the parallel coordinates. An illustrative example demonstrates the applicability of the methodology to a large, complex urban planning problem.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\98LJXYGP\Cajot et al. - 2019 - Interactive Optimization With Parallel Coordinates.pdf}
}
@article{calderon2024,
title = {Critical Mineral Demand Estimates for Low-Carbon Technologies: {{What}} Do They Tell Us and How Can They Evolve?},
shorttitle = {Critical Mineral Demand Estimates for Low-Carbon Technologies},
author = {Calderon, J.L. and Smith, N.M. and Bazilian, M.D. and Holley, E.},
year = {2024},
month = jan,
journal = {Renewable and Sustainable Energy Reviews},
volume = {189},
pages = {113938},
issn = {13640321},
doi = {10.1016/j.rser.2023.113938},
urldate = {2024-01-29},
abstract = {The transition to low-carbon energy systems will increase demand for a range of critical minerals and metals. As a result, several quantitative demand models have been developed to help understand the projected scale of growth and if, and to what extent, material shortages may become an obstacle to the deployment of clean energy technologies. This research presents one of the first comparative reviews of mineral demand estimates for clean energy technologies and provides a meta-analysis of assumptions, model parameters, and key results. Drawing from academic and gray literature to highlight the variability of mineral demand estimates, we conclude that mineral demand models should be interrogated more critically, and more attention should be paid to recycling industries, creating a more sustainable mining industry, and creating more material-efficient energy technologies.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\ZCFWU5JZ\Calderon et al. - 2024 - Critical mineral demand estimates for low-carbon t.pdf}
}
@article{calvin2019,
title = {{{GCAM}} v5.1: Representing the Linkages between Energy, Water, Land, Climate, and Economic Systems},
shorttitle = {{{GCAM}} v5.1},
author = {Calvin, Katherine and Patel, Pralit and Clarke, Leon and Asrar, Ghassem and {Bond-Lamberty}, Ben and Cui, Ryna Yiyun and Di Vittorio, Alan and Dorheim, Kalyn and Edmonds, Jae and Hartin, Corinne and Hejazi, Mohamad and Horowitz, Russell and Iyer, Gokul and Kyle, Page and Kim, Sonny and Link, Robert and McJeon, Haewon and Smith, Steven J. and Snyder, Abigail and Waldhoff, Stephanie and Wise, Marshall},
year = {2019},
month = feb,
journal = {Geoscientific Model Development},
volume = {12},
number = {2},
pages = {677--698},
issn = {1991-9603},
doi = {10.5194/gmd-12-677-2019},
urldate = {2024-09-02},
abstract = {Abstract. This paper describes GCAM v5.1, an open source model that represents the linkages between energy, water, land, climate, and economic systems. GCAM is a market equilibrium model, is global in scope, and operates from 1990 to 2100 in 5-year time steps. It can be used to examine, for example, how changes in population, income, or technology cost might alter crop production, energy demand, or water withdrawals, or how changes in one region's demand for energy affect energy, water, and land in other regions. This paper describes the model, including its assumptions, inputs, and outputs. We then use 11 scenarios, varying the socioeconomic and climate policy assumptions, to illustrate the results from the model. The resulting scenarios demonstrate a wide range of potential future energy, water, and land uses. We compare the results from GCAM v5.1 to historical data and to future scenario simulations from earlier versions of GCAM and from other models. Finally, we provide information on how to obtain the model.},
copyright = {https://creativecommons.org/licenses/by/4.0/},
langid = {english},
file = {C:\Users\matth\Zotero\storage\BHZUES8T\Calvin et al. - 2019 - GCAM v5.1 representing the linkages between energ.pdf}
}
@misc{canadaenergyregulator,
title = {Canada's {{Energy Future Data Appendices}}},
author = {{Canada Energy Regulator}},
doi = {10.35002/zjr8-8x75}
}
@techreport{canadaenergyregulator2021,
title = {Canada's {{Energy Future}} 2021: {{Energy Supply}} and {{Demand Projections}} to 2050},
author = {{Canada Energy Regulator}},
year = {2021},
langid = {english},
file = {C:\Users\matth\Zotero\storage\4HE3TFXC\2021 - Canada’s Energy Future 2021.pdf}
}
@techreport{canadaenergyregulator2023,
title = {Canada's {{Energy Future}} 2023: {{Energy Supply}} and {{Demand Projections}} to 2050},
author = {{Canada Energy Regulator}},
year = {2023},
file = {C:\Users\matth\Zotero\storage\EI7CMP4E\canada-energy-futures-2023.pdf}
}
@techreport{canadiansmallmodularreactorroadmapsteeringcommittee2018,
title = {A {{Call}} to {{Action}}: {{A Canadian Roadmap}} for {{Small Modular Reactors}}},
author = {{Canadian Small Modular Reactor Roadmap Steering Committee}},
year = {2018},
langid = {english},
file = {C:\Users\matth\Zotero\storage\XTJKNX8L\A Call to Action A Canadian Roadmap for Small Mod.pdf}
}
@techreport{capellan-perez2017,
title = {D4.1 ({{D13}}) {{Global Model}}: {{MEDEAS-World Model}} and {{IOA}} Implementation at Global Geographical Level},
author = {{Capell{\'a}n-P{\'e}rez}, I{\~n}igo and {de Blas}, Ignacio and Nieto, Jaime and {de Castro}, Carlos and Javier Miguel, Luis and Mediavilla, Margarita and Carpintero, {\'O}scar and Rodrigo, Paula and Frechoso, Fernando and C{\'a}ceres, Santiago},
year = {2017},
institution = {MEDEAS Project},
file = {C:\Users\matth\Zotero\storage\7E93R2I8\Deliverable 4.1 (D13)_Global Model.pdf}
}
@article{capellan-perez2020,
title = {{{MEDEAS}}: A New Modeling Framework Integrating Global Biophysical and Socioeconomic Constraints},
shorttitle = {{{MEDEAS}}},
author = {{Capell{\'a}n-P{\'e}rez}, I{\~n}igo and De Blas, Ignacio and Nieto, Jaime and De Castro, Carlos and Miguel, Luis Javier and Carpintero, {\'O}scar and Mediavilla, Margarita and Lobej{\'o}n, Luis Fernando and {Ferreras-Alonso}, Noelia and Rodrigo, Paula and Frechoso, Fernando and {\'A}lvarez-Antelo, David},
year = {2020},
journal = {Energy \& Environmental Science},
volume = {13},
number = {3},
pages = {986--1017},
issn = {1754-5692, 1754-5706},
doi = {10.1039/C9EE02627D},
urldate = {2024-01-31},
abstract = {Description of the open-source MEDEAS integrated assessment modeling framework, which focuses on the biophysical and economic dimensions, restrictions and interactions arising during energy transitions. , A diversity of integrated assessment models (IAMs) coexists due to the different approaches developed to deal with the complex interactions, high uncertainties and knowledge gaps within the environment and human societies. This paper describes the open-source MEDEAS modeling framework, which has been developed with the aim of informing decision-making to achieve the transition to sustainable energy systems with a focus on biophysical, economic, social and technological restrictions and tackling some of the limitations identified in the current IAMs. MEDEAS models include the following relevant characteristics: representation of biophysical constraints to energy availability; modeling of the mineral and energy investments for the energy transition, allowing a dynamic assessment of the potential mineral scarcities and computation of the net energy available to society; consistent representation of climate change damages with climate assessments by natural scientists; integration of detailed sectoral economic structure (input--output analysis) within a system dynamics approach; energy shifts driven by physical scarcity; and a rich set of socioeconomic and environmental impact indicators. The potentialities and novel insights that this framework brings are illustrated by the simulation of four variants of current trends with the MEDEAS-world model: the consideration of alternative plausible assumptions and methods, combined with the feedback-rich structure of the model, reveal dynamics and implications absent in classical models. Our results suggest that the continuation of current trends will drive significant biophysical scarcities and impacts which will most likely derive in regionalization (priority to security concerns and trade barriers), conflict, and ultimately, a severe global crisis which may lead to the collapse of our modern civilization. Despite depicting a much more worrying future than conventional projections of current trends, we however believe it is a more realistic counterfactual scenario that will allow the design of improved alternative sustainable pathways in future work.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\U5LL9ZGQ\Capellán-Pérez et al. - 2020 - MEDEAS a new modeling framework integrating globa.pdf}
}
@misc{ceedc,
title = {{{CEEDC Data Center}}},
author = {{CEEDC}},
howpublished = {https://cieedacdb.rem.sfu.ca/}
}
@article{cervantesbarron2022,
title = {Mat-Dp: {{An}} Open-Source {{Python}} Model for Analysingmaterial Demand Projections and Their Environmental Implications, Whichresult from Building Low-Carbon Systems.},
shorttitle = {Mat-Dp},
author = {Cervantes Barron, Karla and Cullen, Jonathan M},
year = {2022},
month = aug,
journal = {Journal of Open Source Software},
volume = {7},
number = {76},
pages = {4460},
issn = {2475-9066},
doi = {10.21105/joss.04460},
urldate = {2025-01-10},
copyright = {http://creativecommons.org/licenses/by/4.0/},
file = {C:\Users\matth\Zotero\storage\A2KFH8NT\Cervantes Barron and Cullen - 2022 - Mat-dp An open-source Python model for analysingmaterial demand projections and their environmental.pdf}
}
@article{cervantesbarron2024,
title = {Using Open-Source Tools to Project Bulk and Critical Material Demand and Assess Implications for Low-Carbon Energy and Transport Systems: {{Introducing Mat-dp}} Model Tools},
shorttitle = {Using Open-Source Tools to Project Bulk and Critical Material Demand and Assess Implications for Low-Carbon Energy and Transport Systems},
author = {Cervantes Barron, Karla and Cullen, Jonathan M},
year = {2024},
month = oct,
journal = {Resources, Conservation and Recycling},
volume = {209},
pages = {107803},
issn = {09213449},
doi = {10.1016/j.resconrec.2024.107803},
urldate = {2025-01-10},
langid = {english}
}
@article{chatterjee2022,
title = {Existing Tools, User Needs and Required Model Adjustments for Energy Demand Modelling of a Carbon-Neutral {{Europe}}},
author = {Chatterjee, Souran and Stavrakas, Vassilis and Oreggioni, Gabriel and S{\"u}sser, Diana and Staffell, Iain and Lilliestam, Johan and Molnar, Gergely and Flamos, Alexandros and {\"U}rge-Vorsatz, Diana},
year = {2022},
month = aug,
journal = {Energy Research \& Social Science},
volume = {90},
pages = {102662},
issn = {22146296},
doi = {10.1016/j.erss.2022.102662},
urldate = {2023-04-28},
abstract = {To achieve the European Union's target for climate neutrality by 2050 reduced energy demand will make the transition process faster and cheaper. The role of policies that support energy efficiency measures and demandside management practices will be critical and to ensure that energy demand models are relevant to policymakers and other end-users, understanding how to further improve the models and whether they are tailored to user needs to support efficient decision-making processes is crucial. So far though, no scientific studies have examined the key user needs for energy demand modelling in the context of the climate neutrality targets. In this article we address this gap using a multi-method approach based on empirical and desk research. Through survey and stakeholder meetings and workshops we identify user needs of different stakeholder groups, and we highlight the direction in which energy demand models need to be improved to be relevant to their users. Through a detailed review of existing energy demand models, we provide a full understanding of the key characteristics and ca\- pabilities of existing tools, and we identify their limitations and gaps. Our findings show that classical demandrelated questions remain important to model users, while most of the existing models can answer these questions. Furthermore, we show that some of the user needs related to sectoral demand modelling, dictated by the latest policy developments, are under-researched and are not addressed by existing tools.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\HLEFPHFK\Chatterjee et al. - 2022 - Existing tools, user needs and required model adju.pdf}
}
@article{chen2022,
title = {Multi-Objective Optimization of an Integrated Energy System against Energy, Supply-Demand Matching and Exergo-Environmental Cost over the Whole Life-Cycle},
author = {Chen, Yuzhu and Xu, Zhicheng and Wang, Jun and Lund, Peter D. and Han, Yifeng and Cheng, Tanghua},
year = {2022},
month = feb,
journal = {Energy Conversion and Management},
volume = {254},
pages = {115203},
issn = {01968904},
doi = {10.1016/j.enconman.2021.115203},
urldate = {2023-07-03},
abstract = {An integrated energy system (IES) can yield several benefits in energy, environmental impacts, cost, and flexi\- bility over a separate system, although the initial cost may be higher. An IES using gas turbine, solar photo\- voltaics (PV), heat pumps, electrical cooling, and energy storage units is proposed here to satisfy the electricity, cooling, and heating demands of a residential building. A multi-objective optimization approach is used to find the best solutions considering energy, supply-demand matching and exergo-environmental economic indices with life cycle assessment (LCA) in following electric mode. The maximum benefit from the IES studied is reached with a system yielding 53.08\% for energy savings, 99.88\% matching, and 43.50\% cost savings. The ideal scheme selected by the TOPSIS method has a higher annual total cost than the cost with conventional method, but has a better cost saving ratio, 41.81\%. A sensitivity analysis shows that a higher PV use would decrease the fuel consumption, but it would reduce the matching and economic performance. Similar to the effect of natural gas price, the off-grid electricity price has higher impact on the cost saving ratio, but lower influence on the specific exergo-environmental cost.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\LGEI847B\Chen et al. - 2022 - Multi-objective optimization of an integrated ener.pdf}
}
@article{chen2022a,
title = {The Roles of Carbon Capture, Utilization and Storage in the Transition to a Low-Carbon Energy System Using a Stochastic Optimal Scheduling Approach},
author = {Chen, Xianhao and Wu, Xiao},
year = {2022},
month = sep,
journal = {Journal of Cleaner Production},
volume = {366},
pages = {132860},
issn = {09596526},
doi = {10.1016/j.jclepro.2022.132860},
urldate = {2023-09-29},
abstract = {Decarbonizing energy sector through deploying the technology of carbon capture, utilization and storage (CCUS) is required to keep global temperature rise below 1.5 {\textopenbullet}C by 2060. The true roles of CCUS have to be validated from the perspective of integrated energy system with features of high penetration of uncertain renewable power and strong interactions among multiple energy generation, conversion and storage technologies. To this end, this paper proposes a stochastic power-heat-gas-carbon scheduling approach for the wind-solar-thermal-battery en\- ergy mix integrated with CCUS (WSTB-CCUS) to manage the operation of energy conversion devices and CCUS in a coordinated manner. Coal/biomass co-fired and natural gas fired cogeneration units integrated with carbon capture system are built to reflect complex relationship between fuel, power, heat and carbon. A stochastic optimization model based on chance-constrained programming is presented to fully consider the uncertainties of renewable power and load demands. Case study shows that the stochastic scheduling can reduce 7.25\% of average total operating costs compared with the deterministic scheduling by providing a more robust solution for the WSTB-CCUS. Discussions are then carried out to explore the roles of CCUS in carbon reduction, flexibility enhancement, negative emission and robustness improvement from the perspective of energy system operation through stochastic scheduling. The influences of other low carbon technologies on the operation of carbon capture are further discussed to provide more insight on the low carbon transformation of energy system.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\QZDBSISJ\Chen and Wu - 2022 - The roles of carbon capture, utilization and stora.pdf}
}
@article{cherubini2018,
title = {Uncertainty in {{LCA}} Case Study Due to Allocation Approaches and Life Cycle Impact Assessment Methods},
author = {Cherubini, Edivan and Franco, Davide and Zanghelini, Guilherme Marcelo and Soares, Sebasti{\~a}o Roberto},
year = {2018},
month = oct,
journal = {The International Journal of Life Cycle Assessment},
volume = {23},
number = {10},
pages = {2055--2070},
issn = {0948-3349, 1614-7502},
doi = {10.1007/s11367-017-1432-6},
urldate = {2024-03-29},
abstract = {Purpose Uncertainty is present in many forms in life cycle assessment (LCA). However, little attention has been paid to analyze the variability that methodological choices have on LCA outcomes. To address this variability, common practice is to conduct a sensitivity analysis, which is sometimes treated only at a qualitative level. Hence, the purpose of this paper was to evaluate the uncertainty and the sensitivity in the LCA of swine production due to two methodological choices: the allocation approach and the life cycle impact assessment (LCIA) method. Methods We used a comparative case study of swine production to address uncertainty due to methodological choices. First, scenario variation through a sensitivity analysis of the approaches used to address the multi-functionality problem was conducted for the main processes of the system product, followed by an impact assessment using five LCIA methods at the midpoint level. The results from the sensitivity analysis were used to generate 10,000 independent simulations using the Monte Carlo method and then compared using comparison indicators in histogram graphics. Results and discussion Regardless of the differences between the absolute values of the LCA obtained due to the allocation approach and LCIA methods used, the overall ranking of scenarios did not change. The use of the substitution method to address the multifunctional processes in swine production showed the highest values for almost all of the impact categories, except for freshwater ecotoxicity; therefore, this method introduced the greater variations into our analysis. Regarding the variation of the LCIA method, for acidification, eutrophication, and freshwater ecotoxicity, the results were very sensitive. The uncertainty analysis with the Monte Carlo simulations showed a wide range of results and an almost equal probability of all the scenarios be the preferable option to decrease the impacts on acidification, eutrophication, and freshwater ecotoxicity. Considering the aggregate result variation across allocation approaches and LCIA methods, the uncertainty is too high to identify a statistically significant alternative. Conclusions The uncertainty analysis showed that performing only a sensitivity analysis could mislead the decision-maker with respect to LCA results; our analysis with the Monte Carlo simulation indicates no significant difference between the alternatives compared. Although the uncertainty in the LCA outcomes could not be decreased due to the wide range of possible results, to some extent, the uncertainty analysis can lead to a less uncertain decision-making by demonstrating the uncertainties between the compared alternatives.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\W3SGCAFJ\Cherubini et al. - 2018 - Uncertainty in LCA case study due to allocation ap.pdf}
}
@inproceedings{chuat2023,
title = {Identification of {{Typical District Configurations}}: {{A Two-Step Global Sensitivity Analysis Framework}}},
shorttitle = {Identification of {{Typical District Configurations}}},
booktitle = {36th {{International Conference}} on {{Efficiency}}, {{Cost}}, {{Optimization}}, {{Simulation}} and {{Environmental Impact}} of {{Energy Systems}} ({{ECOS}} 2023)},
author = {Chuat, Arthur and Schnidrig, Jonas and Terrier, C{\'e}dric and Marechal, Francois},
year = {2023},
pages = {2532--2543},
publisher = {ECOS 2023},
address = {Las Palmas De Gran Canaria, Spain},
doi = {10.52202/069564-0228},
urldate = {2023-08-22},
abstract = {The recent geopolitical conflicts in Europe highlighted the sensibility of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy system configurations to ensure energy supply stability, it is necessary to understand which parameters modulate the system configuration. This paper presents a framework that identifies a panel of technological solutions at the district level. First, a global sensitivity analysis is performed on a mixed integer linear programming model which optimally size and operate the system. The sensitivity analysis determines the most influential parameters of the model and provides a representative sampling of the solution space. The latter is then clustered using a density-based algorithm to identify typical solutions. Finally, the framework is applied to a suburban and residential Swiss neighborhood. The main outcome of the research is the high sensitivity of the model to energy carrier prices. As a result, the sampling space separates itself into two system types. The ones based on a natural gas boiler, and the ones relying on a combination of electrical heater and heat pump. For both types, the electricity demand is either fulfilled by PV panels or by electricity imports.},
isbn = {978-1-71387-492-8 978-1-71387-481-2},
langid = {english},
file = {C:\Users\matth\Zotero\storage\KERGVKNX\Chuat et al. - 2023 - Identification of Typical District Configurations.pdf}
}
@article{chuat2024,
title = {Identification of Typical District Configurations: {{A}} Two-Step Global Sensitivity Analysis Framework},
shorttitle = {Identification of Typical District Configurations},
author = {Chuat, Arthur and Terrier, C{\'e}dric and Schnidrig, Jonas and Mar{\'e}chal, Fran{\c c}ois},
year = {2024},
month = jun,
journal = {Energy},
volume = {296},
pages = {131116},
issn = {03605442},
doi = {10.1016/j.energy.2024.131116},
urldate = {2024-05-15},
abstract = {The recent geopolitical conflicts in Europe have underscored the vulnerability of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy systems ensuring sustainable energy supply in the future, the imperative of leveraging renewable indigenous energy sources becomes evident. However, as such technologies are integrated into the existing system, it is necessary to shift from the current centralized infrastructure to a decentralized production strategy. This paper presents a method to identify a panel of technological solutions at the district level, intended to reduce complexity for the integration of decentralized models into a national-scale model. The framework's novelty lies in combining a global sensitivity analysis for solution generation with clustering to identify typical configurations. The global sensitivity analysis is performed on a mixed integer linear programming model, which optimally sizes and operates district energy systems. The sensitivity analysis determines the most influential parameters of the model using the Morris method and provides a representative sampling of the solution space by leveraging the Sobol sampling strategy. The latter is then clustered using a density-based algorithm to identify typical solutions. The framework is applied to a suburban and residential Swiss neighborhood. The first outcome of the research is the high sensitivity of the model to energy carrier prices. As a result, Sobol's sampling space separates itself into two system types: those based on a natural gas boiler and those relying on a combination of electrical heaters and heat pumps. For both types, the electricity demand is either fulfilled by PV panels or electricity imports. The identified configurations showcase that the framework successfully generates a panel of solutions composed of various system configurations and operations being representative of the overall solution space.},
langid = {english},
file = {C:\Users\matth\Zotero\storage\IQNJCQFA\Chuat et al. - 2024 - Identification of typical district configurations.pdf}
}
@techreport{ciraig2016,
title = {Analyse {{Du Cycle De Vie Comparative Des Impacts Environnementaux Potentiels Du V{\'e}hicule {\'E}lectrique Et Du V{\'e}hicule Conventionnel Dans Un Contexte D}}'utilisation {{Qu{\'e}b{\'e}cois}}},
author = {{CIRAIG}},
year = {2016},
file = {C:\Users\matth\Zotero\storage\NPHICCGG\analyse-comparaison-vehicule-electrique-vehicule-conventionnel.pdf}
}
@techreport{ciraig2022,
title = {{Analyse {\'E}conomique De Sc{\'e}narios De Mobilit{\'e} Au Qu{\'e}bec}},
author = {{CIRAIG}},
year = {2022},
langid = {french},
file = {C:\Users\matth\Zotero\storage\5BRV5VI2\Comazzi - 2022 - Secteur de l’innovation et de la transition énergé.pdf}
}
@techreport{ciraig2022a,
title = {{Analyse Du Cycle De Vie De Fili{\`e}res {\'E}nerg{\'e}tiques Et De Leur Utilisation Pour Le Transport Routier Au Qu{\'e}bec -- Partie 2: Utilisation}},
author = {{CIRAIG}},
year = {2022},
langid = {french},
file = {C\:\\Users\\matth\\Zotero\\storage\\B2736DM9\\Annexe C_Sources de données_Partie2_2022-09-29.xlsx;C\:\\Users\\matth\\Zotero\\storage\\DU3MSRSQ\\Comazzi - 2022 - Bureau du développement de l’hydrogène vert et des.pdf}
}
@techreport{ciraig2022b,
title = {{Analyse Du Cycle De Vie De Fili{\`e}res {\'E}nerg{\'e}tiques Et De Leur Utilisation Pour Le Transport Routier Au Qu{\'e}bec -- Partie 1: Fili{\`e}res}},
author = {{CIRAIG}},
year = {2022},