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BE4 Presentations

BE4 Presentations

BE4 Presentations


Keynote Speech:

Mark Jaccard, Simon Fraser University, Canada Energy-economy modeling and behavioral realism: How much is enough


Energy systems models' treatment of behaviour presentations:

Louis-Gaëtan Giraudet, Frédéric Branger, Céline Guivarch, Philippe Quirion CIRED, France Global sensitivity analysis of an energy-economy model of the residential building sector
Mariësse van Sluisveld, Harmen-Sytze de Boer, Andries Hof, Detlef van Vuuren PBL Netherlands Environmental Assessment Agency Copernicus Institute of Sustainable Development, The Netherlands The feasibility of alternative transition pathways under restricted technological availability
Hannah Daly UCL Energy Institute, UK How we treat behaviour in energy system optimisation models


Energy demand and the transport sector presentations:

Meriem Hamdi-Cherif, Henri Waisman CIRED, France The transportation sector as a lever for reducing long-term mitigation costs in China
Anna Sikharulidze, Gary Goldstein Sustainable Development Centre Remissia, Georgia Incorporating behavior change through modal-shifts in the MARKAL-Georgia transport sector
Bruno Merven, Adrian Stone, Alison Hughes University of Cape Town, South Africa A model for the analysis of future scenarios of energy demand in the transport sector in South Africa


Consumer heterogeneity and vehicle choice presentations:

Kalai Ramea, David Bunch, Chris Yang, Sonia Yeh, Joan Ogden University of California Davis, USA COCHIN-TIMES: Integration of Vehicle Consumer Choice in TIMES Model and its Implications for Climate Policy Analysis
Hazel Pettifor, Charlie Wilson University of East Anglia, UK Incorporating social influence effects into global energy-economy models
David McCollum, Keywan Riahi, Volker Krey, Kalai Ramea, IIASA, Austria Breaking down non-cost barriers to technology adoption is critical for the transport-energy transformation
O.Y. Edelenbosch, D. McCollum PBL Netherlands Environmental Assessment Agency Representation of heterogeneity and consumer behavior in IAM models transport sector: stylized or explicit?
Christian Brand, Jillian Anable, Celine Cluzel Environmental Change Institute, University of Oxford, UK Exploring the timing and scale of uptake of plug-in vehicles in the car market in the UK: a disaggregated consumer segmentation approach


Beyond cost-optimisation: The role of energy poverty and information presentations:

James Glynn, John Curtis, Brian Ó Gallachóir University College Cork, Ireland Spatial socioeconomic indicators of suboptimal space heating choices
Audrey Dobbins , Ulrich Fahl, Kai Hufendiek IER, Germany Assessing the impact of energy poverty in the energy system through the application of a regional TIMES model: Lessons from a case study in Gauteng, South Africa
Roman Kanala, Metin Caliskan, Adriana Dardala, Marian Dardala, Emmanuel Fragnière, Titus Felix Furtuna, Francesco Moresino, Ion Smeureanu, Emilia Titan University of Geneve, Switzerland Assessing demand-side behaviour in long-term energy modelling: The case of Romanian Social MARKAL
Jacquelyn Pless, Harrison Fell, Ben Sigrin National Renewable Energy Laboratory, USA To Buy or Lease Solar PV: A Selection Bias Problem


(How) can the social sciences inform E4 analysis? presentations:

Gesche Huebner, Mike Fell, Megan McMichael, Stephanie Gauthier, Moira Nicolson, David Shipworth UCL Energy Institute, UK Challenges and opportunities of modelling behaviour in E4 models
Clare Watson, Ger Mullally, Paul Deane, and Brian Ó Gallachóir University College Cork, Ireland Integration of social sciences with E4 modelling
Kavin Preethi Narasimhan, Thomas Roberts, Maria Xenitidou and Nigel Gilbert CRESS, University of Surrey, UK TWO-gether: Modelling co-evolving energy consuming social practices in the household sector
Tom Hargreaves, Jason Chilvers, Noel Longhurst, Sarah Higginson, Eoghan McKenna, John Barton, Murray Thomson, Matthew Leach, Damiete Emmanuel-Yusuf School of Environmental Sciences, University of East Anglia, UK Interdisciplinary experiments in energy modelling: co-producing social science and engineering insights on energy demand