Abstract
Abstract The integration of a centralized chilled water hub can enhance cost savings and emissions reductions in an eco-industrial park. However, it can be driven by different combinations of energy sources that perform differently in terms of economic, environmental, and technical criteria. As a result, a mutual agreement between participants in an eco-industrial park can be difficult to achieve due to different individual preferences. In this work, various centralized chiller schemes driven by different combinations of energy sources are derived using a mixed-integer linear programming model based on total annual cost minimization for the overall eco-industrial park. The centralized chilled water hub is configured with an electric chiller, multi-effect absorption chillers, and adsorption chiller to utilize different fuels such as electricity, fossil fuel, biomass, and solar energy. In addition, a heat exchanger network is integrated with the chillers to recover different grades of industrial waste heat in the eco-industrial park. Then, the Technique for Order of Preference by Similarity to Ideal Solution is used to perform multiple-criteria ranking on all schemes based on both the overall eco-industrial park and individual plant preferences. The proposed framework ensures that cost minimization and participant satisfaction are accounted for during the synthesis of a chilled water system in an eco-industrial park.
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