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Mixing Behavioral and Technological Data in Mathematical Programming Framework

Published in Operations Research Proceedings. Leibniz, Germany - September 5-7, 2012 - Springer. 2014, p. 163-168
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.
ISBN: 978-3-319-00794-6
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Other version: http://link.springer.com/10.1007/978-3-319-00795-3_24
Research groups ISE Pôle Economie et management
ISE Pôle Informatique environnementale
ISE Climat
ISE Energie
ISE Villes et territoires
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KANALA, Roman, FRAGNIERE, Emmanuel. Mixing Behavioral and Technological Data in Mathematical Programming Framework. In: Operations Research Proceedings. Leibniz, Germany. [s.l.] : Springer, 2014. p. 163-168. https://archive-ouverte.unige.ch/unige:24290

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Deposited on : 2012-12-03

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