A New Strategy for Collective Energy Self-consumption in the Eco-Industrial Park: Mathematical Modeling and Economic Evaluation

Hamza Gribiss (1) , Mohammadmohsen Aghelinejad (1) , Farouk Yalaoui (1)

1 LOSI - Laboratoire d'Optimisation des Systèmes Industriels

Renewable energies are increasingly used around the world to replace fossil energy resources such as gas, coal, and oil sources in order to reduce greenhouse gases. Eco-industrial parks promote the use and sharing of renewable energy sources between factories in a collective self-consumption framework. This article presents a new strategy of photovoltaic self-consumption in an eco-industrial park, that combines collective and individual self-consumption. This strategy has been compared with the classical configuration of self-consumption, in which factories do not share a common photovoltaic installation. Two mathematical models have been proposed and solved for these two configurations, the results show that the new strategy is more efficient than the classical configuration of individual self-consumption.

Keywords: Mathematical modeling; Optimization; Collective self-consumption; Eco-industrial park; Renewable energy

Domains: Optimization and Control [math.OC]; Modeling and Simulation

Hamza Gribiss, Mohammadmohsen Aghelinejad, Farouk Yalaoui. A New Strategy for Collective Energy Self-consumption in the Eco-Industrial Park: Mathematical Modeling and Economic Evaluation. International Conference on Metaheuristics and Nature Inspired Computing, Oct 2021, Marrakech, Morocco. pp.212-225, ⟨10.1007/978-3-030-94216-8_16⟩. ⟨hal-03640590⟩