A New Methodology to Design Optimal Exchanges Network for Facing Concrete Industrial Problems

摘要

Nowadays,industries are facing significant environmental and competitive stakes.An efficient way for companies to overcome these difficulties is to gather and collaborate in Eco-Industrial Parks(EIP).Nevertheless,establish an optimal eco-industrial exchange is a task that requires the development of methods.This article therefore proposes a method for Multi-Objective(MO)optimal design of EIP exchange networks that deals with net present cost and complexity of the network.A new network complexity indicator is defined that represents the topological feasibility but also the management of the designed network.An iterative resolution procedure is developed to solve large MILP problems.This procedure sets the minimum flow capacity threshold throughout the iterations,whereas in previous papers it was set arbitrarily.The developed method is assessed on a large EIP energy network.Results show that network complexity is considerably reduced using this MO approach in comparison to economic mono-objective solution.