Mixing Behavioral and Technological Data in Mathematical Programming Framework

Roman Kanala () and Emmanuel Fragnière
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Roman Kanala: Université de Genève
Emmanuel Fragnière: Hautes Etudes de Gestion de Genève

A chapter in Operations Research Proceedings 2012, 2014, pp 163-168 from Springer

Abstract: 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.

Keywords: International Energy Agency; Virtual Technology; Demand Side Management; Carnot Cycle; MARKAL Model (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_24

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DOI: 10.1007/978-3-319-00795-3_24

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