Author(s)

A.Tilmant, E.Persoons, M.Vanclooster

Abstract

Deriving efficient reservoir operating rules using flexible stochastic dynamic programming A. Tilmant, E. Persoons & M. Vanclooster Dept of Environment, Science and Land Use Planning, Universite Catholique de Louvain, Louvain-la-Neuve, Belgium Abstract Reservoir operation models traditionally require the transformation of all release consequences into one single monetary unit. This approach clearly shows its limitations when a variety of environmental, social, and political consequences cannot (or should not) be converted to monetary terms. As a consequence of its inability to consider all operating objectives, the traditional approach solely involves some stakeholders, making difficult the social acceptance of the release rules. This paper presents a new optimization approach for deriving efficient reservoir operating rules in a multiparticipatory decision-making framework. By considering the optimization problem as a multistage flexible constraint satisfaction problem, we are abl

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