Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models

The improvement of water and energy use in the industrial sector is an important concern to improve overall techno-economic performance single plants. most recent EU strategy for system integration has been treating these issues redaction its first pillar, which based on relations between promotion circular economy efficiency it as specific objectives waste heat recovery from wastewater. Although context research appliance both recycling reuse have extensively explored, still verifiable a lack comprehension application methods simultaneously plant. In this work, two approaches solving optimisation problem related process industry plant (three water-using processes) are implemented. These consist development mixed-integer non-linear programming (MINLP) model multi-objective (MOP) using Python language. addition, complementary approach (NLP) further also developed. Within three applied methodologies (MINLP, MOP integrated MINLP NLP), NLP was one favourable results were obtained, with 33.7% freshwater savings, 73.2% savings 67.2% total economic savings.