The integration of energy scenarios into LCA: LCM2017 Conference Workshop, Luxembourg, September 5, 2017
- 447 Downloads
The Life Cycle Management Conference, held in Luxembourg from the 3rd to the 6th of September 2017, was the opportunity for LCA practitioners to sit and discuss the integration of external models in prospective LCA models. The workshop organizers feel that as a growing LCA subdiscipline, prospective LCA lacks a shared foundation in terms of methods, data, best practices, and software solutions.
For practitioners, this workshop was organized as a first step to introduce their research, identify overlaps, pinpoint further needs, and discuss the near future of prospective LCA. The focus was placed on the use of energy scenarios in prospective LCA due to the important role of energy in the environmental profile of many products. For this reason, most of the examples are related to energy system models and energy scenarios. However, this approach is applicable to any sector likely to face changes in the future, such as transportation, agriculture, or mining.
The first half of the...
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.
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).
- 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, LuxembourgGoogle Scholar
- European Commission (2016) EU reference. Scenario 2016Google Scholar
- 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 CrossRefGoogle Scholar
- 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 CrossRefGoogle Scholar
- Kuczenski B, Marvuglia A, Ingwersen WW, et al Product system model description and revision. in PrepGoogle Scholar
- Oberschelp C, Pfister S, Hellweg S (2017) Reduction of site-specific electricity generation particulate matter impacts in China. In: Life Cycle Management Conference 2017. LuxembourgGoogle Scholar
- 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 CrossRefGoogle Scholar
- Poganietz W-R (2017) Predicting energy futures? Scenarios and their assessment. In: Winter School on Energy Scenarios. Kurhaus TrifelsGoogle Scholar
- 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
- 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 CrossRefGoogle Scholar
- Verones F, Hellweg S, Azevedo LB et al (2016) LC-impact version 0.5: a spatially differentiated life cycle impact assessment approachGoogle Scholar
- 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 CrossRefGoogle Scholar
- Wikipedia (2016) Perfect competition. Wikipedia Google Scholar
- 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 Google Scholar