Double-layer Optimization Model of Industrial Park-level Integrated Energy System Based on Cascade Utilization

Yong-li WANG , Ze-qiang LIU , Xin CHEN , Huan-ran DONG , Lu GUO , Hao XIANG , Lin LIU

Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (29) : 12595 -12603.

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Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (29) : 12595-12603 DOI: 10.12404/j.issn.1671-1815.2307333
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Double-layer Optimization Model of Industrial Park-level Integrated Energy System Based on Cascade Utilization
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Abstract

At present, some industrial parks in China still adopt separate planning and operation methods for various energy supply systems such as power supply, heating, and gas supply, resulting in a large amount of industrial waste heat being wasted, low system energy efficiency, and high carbon emissions. In order to fully utilize industrial waste heat and improve system operation energy efficiency, a dual layer optimization model for the integrated energy system (IES) in industrial parks containing high temperature steam heat pump (HTHP) was proposed. Firstly, the integrated energy system architecture of the industrial park containing HTHP was constructed. Secondly, to address the issue of low energy efficiency in IES, a comprehensive energy system scheduling strategy with HTHP was established based on the principles of cascade utilization of waste heat and multi energy coordination. Thirdly, a double-layer optimization model including equipment capacity planning optimization and operation optimization was established, and a solution method for the optimization model was proposed. Finally, the effectiveness of the proposed method was verified through an example analysis of a chemical park in northwest China.

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integrated energy systems / high temperature heat pump / cascade utilization / two-layer optimization

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Yong-li WANG, Ze-qiang LIU, Xin CHEN, Huan-ran DONG, Lu GUO, Hao XIANG, Lin LIU. Double-layer Optimization Model of Industrial Park-level Integrated Energy System Based on Cascade Utilization. Science Technology and Engineering, 2024, 24(29): 12595-12603 DOI:10.12404/j.issn.1671-1815.2307333

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