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Numerical Study on Peak Shaving Performance of Combined Heat and Power Unit Assisted by Heating Storage in Long-Distance Pipelines Scheduled by Particle Swarm Optimization Method

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  • Haoran Ju

    (Heating Research Center, Huadian Electric Power Research Institute, 2 Xiyuan Nine Road, Hangzhou 310030, China
    College of Energy Engineering, Zhejiang University, 38 Zheda Road, Hangzhou 310007, China)

  • Yongxue Wang

    (Heating Research Center, Huadian Electric Power Research Institute, 2 Xiyuan Nine Road, Hangzhou 310030, China)

  • Yiwu Feng

    (Heating Research Center, Huadian Electric Power Research Institute, 2 Xiyuan Nine Road, Hangzhou 310030, China)

  • Lijun Zheng

    (Heating Research Center, Huadian Electric Power Research Institute, 2 Xiyuan Nine Road, Hangzhou 310030, China)

Abstract

Thermal energy storage in long-distance heating supply pipelines can improve the peak shaving and frequency regulation capabilities of combined heat and power (CHP) units participating in the power grid. In this study, a one-dimensional numerical model was established to predict the thermal lag in long-distance pipelines at different scale levels. The dynamic response of the temperature at the end of the heating pipeline was considered. For the one-way pipe lengths of 10 km, 15 km and 20 km, the response times of the temperature at the distal end were 2.33 h, 2.94 h and 3.54 h, respectively. The longer the flow period, the further the warming-up time is delayed. An optimization scheduling approach was also created to illustrate the peak shaving capabilities of a CHP unit combined with a long-distance pipeline thermal energy storage component. It was demonstrated that the maximum heating load of the unit increased up to 503.08 MW, and the heating load could be expanded in the range of 17.88 MW to 203.76 MW at the minimum electric load of the unit of 104.08 MW. Finally, the particle swarm optimization method was adopted to guide the operating strategy through a whole day to meet both the electric power and heating power requirements. For the optimized case, the comprehensive energy utilization efficiency and the exergy efficiency increase to 64.4% and 56.73%. The thermal energy storage applications based on long-distance pipelines were simulated quantitively and proved to be effective in promoting the operational flexibility of the CHP unit.

Suggested Citation

  • Haoran Ju & Yongxue Wang & Yiwu Feng & Lijun Zheng, 2024. "Numerical Study on Peak Shaving Performance of Combined Heat and Power Unit Assisted by Heating Storage in Long-Distance Pipelines Scheduled by Particle Swarm Optimization Method," Energies, MDPI, vol. 17(2), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:492-:d:1322309
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    References listed on IDEAS

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