Abstract
Optimisation models for energy environmental planning based on the concept of economic equilibria share a common flaw that stems from their neoclassic roots: hypothesis of a perfect information and hypothesis of perfect economic rationality. A way to circumvent this issue consists in soft-linking data from sociological surveys that determine technical coefficients for MARKAL model, creating a hybrid approach of coupling a deductive engineering model with typical inductive methods of social sciences. Behavioural changes are described as virtual technologies with usual technology attributes. The method is illustrated on a case of lighting bulbs. The goal of the approach is to build long term policies that are not solely based on technology progress but also taking into account social change.
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Acknowledgments
The authors wish to acknowledge the contributions of Dr. Denis Lavigne and Dr. Francesco Moresino to this topic.
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Kanala, R., Fragnière, E. (2014). Mixing Behavioral and Technological Data in Mathematical Programming Framework. In: Helber, S., et al. Operations Research Proceedings 2012. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-00795-3_24
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DOI: https://doi.org/10.1007/978-3-319-00795-3_24
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