Abstract

Nowadays, many Eco-Industrial Parks (EIP) are emerging all around the world. In these eco-industrial parks, industries gather to share several streams like energies, water, resources, and wastes in order to realise economic benefits while lowering their environmental impact. However, most of the time, these EIP are historically constituted and therefore sub-optimal. To really observe the sought gains, exchange networks need to be optimally designed. This article aims to develop a methodology for a grassroots design of hybrid power system (HPS) based on multi-objective optimization to supply an EIP. Overhang of this study is multi-objective (MO) approach which aims to minimize energy cost for project lifespan and to minimize environmental impact of energy production to supply EIP demand. This last criterion is evaluated by a life cycle assessment (LCA) on each sources. Another advantage is that geographical influence on HPS design is taken into account to evaluate climate effect on RE production and LCA impact depending on selected position for the EIP. A case study compares single objective and MO optimization and geographical influence on designed HPS for the same EIP, in two countries, Malaysia and in Germany. Results shows that a big reduction on environmental impact (above 70%) thanks to a little invest (cost increased about 10%) can be reached. Also, compared with different geographic positions, designed solution is really contrasted according to cost, environmental impact and selected RE sources.

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