Notes
The field of economics as a whole is undergoing profound changes in the way it models how individuals make economic decisions in real life, with the emergence of “behavioral economics” – recently in the spotlight after Richard H. Thaler was awarded the 2017 Nobel Prize of Economics.
For an overview of the data submission requirements, see the check list for ecoinvent data providers: http://www.ecoinvent.org/files/check_list_20170215.pdf
References
Arvesen A, Luderer G, Pehl M, Bodirsky BL, Hertwich EG (2018) Deriving life cycle assessment coefficients for application in integrated assessment modelling. Environ Model Softw 99:111–125. https://doi.org/10.1016/j.envsoft.2017.09.010
Arvidsson R, Tillman A-M, Sandén BA et al (2017) Environmental assessment of emerging. Recommendations for Prospective LCA. J Ind Ecol, Technologies. https://doi.org/10.1111/jiec.12690
Astudillo MF, Treyer K, Bauer C, Pineau PO, Amor MB (2017a) Life cycle inventories of electricity supply through the lens of data quality: exploring challenges and opportunities. Int J Life Cycle Assess 22(3):374–386. https://doi.org/10.1007/s11367-016-1163-0
Astudillo MF, Vaillancourt K, Pineau P-O, Amor B (2017b) Integrating energy system models in life cycle management. In: Benetto E, Gericke K (eds) Designing sustainable technologies, products and policies: from science to innovation. Springer, Luxembourg
Beloin-Saint-Pierre D, Levasseur A, Margni M, Blanc I (2016) Implementing a dynamic life cycle assessment methodology with a case study on domestic hot water production. J Ind Ecol 21:1128–1138
Bergesen JD, Heath GA, Gibon T, Suh S (2014) Thin-film photovoltaic power generation offers decreasing greenhouse gas emissions and increasing environmental co-benefits in the long term. Environ Sci Technol 48(16):9834–9843. https://doi.org/10.1021/es405539z
Cucurachi S, Suh S (2017) Cause-effect analysis for sustainable development policy. Environ Rev 25(3):358–379. https://doi.org/10.1139/er-2016-0109
Dandres T, Gaudreault C, Tirado-Seco P, Samson R (2011) Assessing non-marginal variations with consequential LCA: application to European energy sector. Renew Sust Energ Rev 15(6):3121–3132. https://doi.org/10.1016/j.rser.2011.04.004
European Commission (2016) EU reference. Scenario 2016
Gavankar S, Suh S, Keller AA (2015) The role of scale and technology maturity in life cycle assessment of emerging technologies: a case study on carbon nanotubes. J Ind Ecol 19(1):51–60. https://doi.org/10.1111/jiec.12175
Gibon T, Wood R, Arvesen A, Bergesen JD, Suh S, Hertwich EG (2015) A methodology for integrated, multiregional life cycle assessment scenarios under large-scale technological change. Environ Sci Technol 49(18):11218–11226. https://doi.org/10.1021/acs.est.5b01558
Heath GA, Mann MK (2012) Background and reflections on the life cycle assessment harmonization project. J Ind Ecol 16:S8–S11. https://doi.org/10.1111/j.1530-9290.2012.00478.x
Hertwich EG, Gibon T, Bouman EA, Arvesen A, Suh S, Heath GA, Bergesen JD, Ramirez A, Vega MI, Shi L (2015) Integrated life-cycle assessment of electricity-supply scenarios confirms global environmental benefit of low-carbon technologies. Proc Natl Acad Sci U S A 112(20):6277–6282. https://doi.org/10.1073/pnas.1312753111
Igos E, Rugani B, Rege S, Benetto E, Drouet L, Zachary DS (2015) Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios. Appl Energy 145:234–245. https://doi.org/10.1016/j.apenergy.2015.02.007
Krakowski V, Assoumou E, Mazauric V, Maïzi N (2016) Feasible path toward 40-100% renewable energy shares for power supply in France by 2050: a prospective analysis. Appl Energy 171:501–522. https://doi.org/10.1016/j.apenergy.2016.03.094
Kuczenski B, Marvuglia A, Ingwersen WW, et al Product system model description and revision. in Prep
Levasseur A, Lesage P, Margni M, Deschênes L, Samson R (2010) Considering time in LCA: dynamic LCA and its application to global warming impact assessments. Environ Sci Technol 44(8):3169–3174. https://doi.org/10.1021/es9030003
Marvuglia A, Benetto E, Rege S, Jury C (2013) Modelling approaches for consequential life-cycle assessment (C-LCA) of bioenergy: critical review and proposed framework for biogas production. Renew Sust Energ Rev 25:768–781. https://doi.org/10.1016/j.rser.2013.04.031
Menten F, Tchung-Ming S, Lorne D, Bouvart F (2015) Lessons from the use of a long-term energy model for consequential life cycle assessment: the BTL case. Renew Sust Energ Rev 43:942–960. https://doi.org/10.1016/j.rser.2014.11.072
Mutel CL, Pfister S, Hellweg S (2012) GIS-based regionalized life cycle assessment: how big is small enough? Methodology and case study of electricity generation. Environ Sci Technol 46(2):1096–1103. https://doi.org/10.1021/es203117z
Oberschelp C, Pfister S, Hellweg S (2017) Reduction of site-specific electricity generation particulate matter impacts in China. In: Life Cycle Management Conference 2017. Luxembourg
Pauliuk S, Arvesen A, Stadler K, Hertwich EG (2017) Industrial ecology in integrated assessment models. Nat Clim Chang 7(1):13–20. https://doi.org/10.1038/nclimate3148
Pauliuk S, Majeau-Bettez G, Mutel CL, Steubing B, Stadler K (2015) Lifting industrial ecology modeling to a new level of quality and transparency: a call for more transparent publications and a collaborative open source software framework. J Ind Ecol 19(6):937–949. https://doi.org/10.1111/jiec.12316
Pehl M, Arvesen A, Humpenöder F, Popp A, Hertwich EG, Luderer G (2017) Understanding future emissions from low-carbon power systems by integration of life-cycle assessment and integrated energy modelling. Nat Energy 2(12):939–945. https://doi.org/10.1038/s41560-017-0032-9
Poganietz W-R (2017) Predicting energy futures? Scenarios and their assessment. In: Winter School on Energy Scenarios. Kurhaus Trifels
Sacchi R (2017) LCI methodology and databases. A trade-based method for modelling supply markets in consequential LCA exemplified with Portland cement and bananas. Int J Life Cycle Assess. https://doi.org/10.1007/s11367-017-1423-7
Tiruta-Barna L, Pigné Y, Navarrete Gutiérrez T, Benetto E (2015) Framework and computational tool for the consideration of time dependency in life cycle inventory: proof of concept. J Clean Prod 116:198–206
Vandepaer L, Treyer K, Mutel CL et al (2017) Marginal electricity supply mixes and their integration in version 3.4 of the ecoinvent database: results and sensitivity to key parameters. doi:https://doi.org/10.13140/RG.2.2.14750.64324
Verones F, Bare J, Bulle C, Frischknecht R, Hauschild M, Hellweg S, Henderson A, Jolliet O, Laurent A, Liao X, Lindner JP, Maia de Souza D, Michelsen O, Patouillard L, Pfister S, Posthuma L, Prado V, Ridoutt B, Rosenbaum RK, Sala S, Ugaya C, Vieira M, Fantke P (2017) LCIA framework and cross-cutting issues guidance within the UNEP-SETAC life cycle initiative. J Clean Prod 161:957–967. https://doi.org/10.1016/j.jclepro.2017.05.206
Verones F, Hellweg S, Azevedo LB et al (2016) LC-impact version 0.5: a spatially differentiated life cycle impact assessment approach
Wender BA, Foley RW, Prado-Lopez V, Ravikumar D, Eisenberg DA, Hottle TA, Sadowski J, Flanagan WP, Fisher A, Laurin L, Bates ME, Linkov I, Seager TP, Fraser MP, Guston DH (2014) Illustrating anticipatory life cycle assessment for emerging photovoltaic technologies. Environ Sci Technol 48(18):10531–10538. https://doi.org/10.1021/es5016923
Wikipedia (2016) Perfect competition. Wikipedia
Yang Y, Heijungs R (2017) On the use of different models for consequential life cycle assessment. Int J Life Cycle Assess. https://doi.org/10.1007/s11367-017-1337-4
Zamagni A (2013) Identification of the affected processes: challenges and open questions. In: Blanc I (ed) EcoSD annual workshop-consequential LCA Mines ParisTech
Acknowledgements
The authors thank the organizers of the LCM2017 conference, specifically Enrico Benetto and Mélanie Guiton, for the support in arranging the workshop. We also extend our thanks to Chris Mutel for constructive comments on an early version of the text.
Funding
Laurent Vandepaer is grateful for the financial support of the Laboratory for Energy Systems Analysis at the Paul Scherrer Institut (PSI), of Wallonie-Bruxelles International (WBI) through the WBI-World Excellence Scholarship, and of the Natural Sciences and Engineering Research Council of Canada through the Discovery Grants Program. This research was supported by the Swiss Competence Centers for Energy Research (SCCER) “Heat and Electricity Storage” (HaE) and “Supply of Electricity” (SoE), funded by the Commission for Technology and Innovation (CTI).
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Vandepaer, L., Gibon, T. The integration of energy scenarios into LCA: LCM2017 Conference Workshop, Luxembourg, September 5, 2017. Int J Life Cycle Assess 23, 970–977 (2018). https://doi.org/10.1007/s11367-017-1435-3
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DOI: https://doi.org/10.1007/s11367-017-1435-3