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Mixing Behavioral and Technological Data in Mathematical Programming Framework

In: Operations Research Proceedings 2012

Author

Listed:
  • Roman Kanala

    (Université de Genève)

  • Emmanuel Fragnière

    (Hautes Etudes de Gestion de Genève)

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.

Suggested Citation

  • Roman Kanala & Emmanuel Fragnière, 2014. "Mixing Behavioral and Technological Data in Mathematical Programming Framework," Operations Research Proceedings, in: Stefan Helber & Michael Breitner & Daniel Rösch & Cornelia Schön & Johann-Matthias Graf von der Schu (ed.), Operations Research Proceedings 2012, edition 127, pages 163-168, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-00795-3_24
    DOI: 10.1007/978-3-319-00795-3_24
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