Global sensitivity analysis of an energy-economy model of the residential building sector
Frédéric Branger (),
Céline Guivarch and
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Frédéric Branger: AgroParisTech ENGREF et CIRED
No 2015.01, Policy Papers from FAERE - French Association of Environmental and Resource Economists
In this paper, we discuss the results of a sensitivity analysis of Res-IRF, an energy-economy model of the demand for space heating in French dwellings. Res-IRF has been developed for the purpose of increasing behavioral detail in the modeling of energy demand. The different drivers of energy demand, namely the extensive margin of energy efficiency investment, the intensive one and building occupants’ behavior are disaggregated and determined endogenously. The model also represents the established barriers to the diffusion of energy efficiency: heterogeneity of consumer preferences, landlord-tenant split incentives and slow diffusion of information. The relevance of these modeling assumptions is assessed through the Morris method of sensitivity analysis, which allows for the exploration of uncertainty over the whole input space. We find that the Res-IRF model is most sensitive to energy prices. It is also found to be quite sensitive to the factors parameterizing the di fferent drivers of energy demand. In contrast, inputs mimicking barriers to energy efficiency have been found to have little influence. These conclusions build confidence in the accuracy of the model and highlight occupants’ behavior as a priority area for future empirical research.
Keywords: Sensitivity analysis; Monte Carlo; Morris method; Energy efficiency; Building sector (search for similar items in EconPapers)
JEL-codes: C63 Q47 (search for similar items in EconPapers)
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Published in Environmental Modelling & Software, 70, 45-54.
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Working Paper: Global sensitivity analysis of an energy-economy model of the residential building sector (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:fae:ppaper:2015.01
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