Optimal Design of Eco-Industrial Parks with coupled energy networks addressing Complexity bottleneck through an Interdependence analysis

Florent Mousqué (1) , Marianne Boix (1) , Ludovic Montastruc (1) , Serge Domenech (1) , Stéphane Négny (1)

1 LGC - Laboratoire de Génie Chimique

By gathering in Eco-Industrial Parks (EIPs), companies obtain benefits from synergistic cooperation but it also creates a risk by increasing interdependencies. The aim of this paper is to provide a method for optimally design exchanges that takes into consideration real stakes of companies. This resolution method is assessed on a multi-period MILP model of coupled energy networks integrating a utility system producing steam at different pressure levels and a mutualized on-grid Hybrid Power System (HPS) providing electricity using Renewable Energy (RE) sources. Design concerns interconnections between companies such as boilers, turbines and power of RE sources. A multi-stage approach is developped to minimize network complexity and Net Present Value (NPV) of the overall network. Lastly, an interdependency analysis is proposed to choose the optimal solution. Tested on a case study involving 15 companies, the optimal exchanges have been raised to satisfy demands over four time periods.

Mots clés: Industrial ecology; Interdependence; Utility system; Hybrid power system; Multiobjective optimization; Network complexity; Renewable energies

Domaines: Génie civil; Energie électrique

Florent Mousqué, Marianne Boix, Ludovic Montastruc, Serge Domenech, Stéphane Négny. Optimal Design of Eco-Industrial Parks with coupled energy networks addressing Complexity bottleneck through an Interdependence analysis. Computers & Chemical Engineering, 2020, 138, pp.106859. ⟨10.1016/j.compchemeng.2020.106859⟩. ⟨hal-03116641⟩