节能2024，Vol.43Issue(6)：29-31,3.DOI:10.3969/j.issn.1004-7948.2024.06.008
冷热电联供系统的变工况双层协同优化研究
Research on variable condition double-layer collaborative optimization of combined cooling,heating,and power systems
邹梦婷1
作者信息
- 1. 中工武大能源建设投资(湖北)有限公司,湖北 武汉 410000
- 折叠
摘要
Abstract
Based on the hourly supply and demand relationship of the combined cooling,heating,and power(CCHP)system,an economic evaluation index is constructed.A double-layer collaborative operation method combining enumeration and genetic algorithms is used to optimize the system's configuration capacity,proposing a reasonable internal combustion engine configuration plan.The results show that the CCHP system,after double-layer collaborative optimization,has a significant economic advantage,with the annual total cost saving rate increased to 69.87%.At the same time,it reduces the starting load of the internal combustion engine and extends the operating time by 26.47%.关键词
冷热电联供系统/双层协同优化/经济性Key words
CCHP/double-layer collaborative optimization/economic分类
动力与电气工程引用本文复制引用
邹梦婷..冷热电联供系统的变工况双层协同优化研究[J].节能,2024,43(6):29-31,3.
