Integrating household behavior and heterogeneity into the TIMES-Households model
Jean-Michel Cayla and
Nadia Maïzi
Applied Energy, 2015, vol. 139, issue C, 56-67
Abstract:
The importance of household behavior in energy consumption is regularly raised in literature. Nevertheless energy-economy long-term planning models still often represent energy demand by a single mean household and thus fail to capture household behavior. This paper describes the original modeling approach developed within the TIMES model framework in order to take household behavior and heterogeneity into account: the TIMES-Households model. This model depicts both household daily energy consumption and equipment purchasing behavior and focuses on the French residential and transport sectors. We show the importance of taking household heterogeneity into account in long-term planning models within the comparison of two energy price scenarios applied to two different models. Finally, thanks to the highly disaggregated representation of households and their behavior in the model, we address the problem of unrealistic technology diffusion pathways often obtained when using an optimization bottom-up model.
Keywords: TIMES long-term energy model; Household behavior; Heterogeneity (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261914011647
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:139:y:2015:i:c:p:56-67
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2014.11.015
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().