Water Exchanges in Eco-industrial Parks through Multiobjective Optimization and Game Theory

Abstract

The current environmental context makes urgent the development of robust methodologies able to design innovative industries. Industrial ecology, and most particularly the concept of eco-industrial parks, aims at proposing at several companies to gather in a same geographical site to share several fluxes (water, energy, utilities…) in order to decrease environmental impacts of their industrial activities. A recent literature analysis has shown the emergence of new works devoted to the application of optimization methodologies to design greener and more efficient eco-industrial parks. In this work, the method of goal programming is applied for the first time to design optimal exchanges of water in an academic case of park. Goal programming is employed to deal with several conflicting objectives: the cost for each company included in the park. This method is proven to be reliable in this context because it proposes to obtain one solution instead of a set of optimal solutions that takes directly into account the preferences of the decision maker. Although the solution obtained in this study is quite interesting and is a good compromise, the main perspective of this work is to be extended by being coupled with a game theory approach so that an more equilibrate solution can be obtained