A game theory based approach for emergy analysis of industrial ecosystem under uncertainty

Abstract

A well-designed and operated industrial ecological system should be able to utilize effectively the generated wastes from one member as the feed to another member. Nevertheless, due to heavy interactions among the member entities, particularly with various uncertainties, the coordinative material and energy reuse is a very complex task. In this paper, the issues of optimal operation of an industrial ecosystem under uncertainty are addressed. A game theory based approach is then introduced to derive an economically and environmentally optimal status of an industrial ecosystem. The effectiveness of the approach is demonstrated by tackling a case study problem, where the Nash Equilibrium for the profit payoff and sustainability payoff of the member entities is identified. The possible conflicts of the profit and sustainability objectives of the member entities in the ecosystem are resolved.