Dynamic Response Characteristics of Multi-Generation System Integrated with Gas and Heat Storage

  • WANG Xiaomeng ,
  • DUAN Liqiang ,
  • ZHENG Nan ,
  • WANG Qiushi
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  • 1. Beijing Laboratory of New Energy Storage Technology, North China Electric Power University, Beijing 102206, China
    2. School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
    3. State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources (NCEPU), North China Electric Power University, Beijing 102206, China
    4. Institute of Technology for Carbon Neutralization, College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225009, China

网络出版日期: 2025-05-06

基金资助

This research has been supported by the Major Program of the National Natural Science Foundation of China (No. 52090064), and the Science Fund for Creative Research Groups of the National Natural Science Foundation of China (No. 51821004).

版权

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2025

Dynamic Response Characteristics of Multi-Generation System Integrated with Gas and Heat Storage

  • WANG Xiaomeng ,
  • DUAN Liqiang ,
  • ZHENG Nan ,
  • WANG Qiushi
Expand
  • 1. Beijing Laboratory of New Energy Storage Technology, North China Electric Power University, Beijing 102206, China
    2. School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
    3. State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources (NCEPU), North China Electric Power University, Beijing 102206, China
    4. Institute of Technology for Carbon Neutralization, College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225009, China

Online published: 2025-05-06

Supported by

This research has been supported by the Major Program of the National Natural Science Foundation of China (No. 52090064), and the Science Fund for Creative Research Groups of the National Natural Science Foundation of China (No. 51821004).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2025

摘要

本文提出了一种新型多联产系统,集成了太阳能、固体氧化物燃料电池 (SOFC)、燃气轮机 (GT)、溴化锂制冷机、 储气和储热装置,以解决用户负荷和能源输入随机波动性造成的供需不匹配的问题。建立了系统各组件的数学模型和动态控制策略,并研究了系统在响应太阳能DNI和外部负载扰动时的动态响应特性,通过多种重PID控制方法,该能源系统能够在较短时间内快速调整关键的输入和输出参数,实现新的供需平衡。对比了系统有储气和无储气单元时应对负荷变化的响应过程,结果表明,带有储气装置的多联供能源系统有效缩短负荷变化的响应时间。在控制器的作用下,太阳能集热器和 SOFC-GT 发电单元可在几十秒内达到新的平衡,与前者相比,甲醇反应器的响应时间较长,需要几分钟才能稳定。当制冷和制热负荷发生变化时,系统在 500 秒和 260 秒内将输出值调整至需求值。

本文引用格式

WANG Xiaomeng , DUAN Liqiang , ZHENG Nan , WANG Qiushi . Dynamic Response Characteristics of Multi-Generation System Integrated with Gas and Heat Storage[J]. 热科学学报, 2025 , 34(3) : 913 -935 . DOI: 10.1007/s11630-025-2118-1

Abstract

In this paper, a new multi-generation system, incorporating solid oxide fuel cell (SOFC), gas turbine (GT), lithium bromide chiller, gas and heat storage components is proposed to address the issues of volatility in user load and energy source input and mismatching between supply and demand. The dynamic model and control strategy of the system are established, and the system dynamic characteristics in response to solar DNI and external load disturbances are studied. The system can rapidly adjust the key output and input parameters to realize a new supply-demand balance in a shorter period of time by multiple PID control methods. The response processes of two combined cooling, heating and power (CCHP) systems with and without gas storage to cope with load changes are compared. The results show that the CCHP system with gas storage can effectively shorten the response time of load following. The solar collector and the SOFC-GT can reach a new equilibrium within a few tens of seconds under the controller. The response time of the methanol reactor is longer compared to those of solar collector and the SOFC-GT, taking several minutes to stabilize. When the cooling and heating load change, the system can adjust the output to the demand value within 500 and 260 seconds.

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