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Mixing Behavioral and Technological Data in Mathematical Programming Framework

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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.
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ISBN: 978-3-319-00794-6
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Proceedings chapter (Published version) (391 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Other version: http://link.springer.com/10.1007/978-3-319-00795-3_24
Structures
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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