期刊文献+

基于复合蓄能的天然气与太阳能耦合CCHP系统优化 被引量:3

Optimization of Natural Gas and Solar Energy Coupled CCHP System Based on Hybrid Energy Storage
下载PDF
导出
摘要 基于含复合蓄能装置(蓄热/蓄电)的天然气与太阳能耦合冷热电三联供系统,从节能、经济、环保层面对其建立了优化模型.选取原动机额定容量、原动机启停比、太阳能光热/光伏面积、电制冷机供冷比为优化变量,利用量子粒子群算法对优化模型进行求解,获取了耦合系统的优化容量及优化运行模式,并对其在两种运行策略下的结果进行了对比分析,以广州的一栋宾馆建筑为例进行了案例分析.研究结果表明:两种优化运行模式下的耦合系统性能均优于分产系统,且以“电”定热模式的性能(年一次能源节约率为37.9%,年总成本节约率为39.9%,年二氧化碳减排率为55.1%,综合性能为44.3%)优于以“热”定电模式(年一次能源节约率为30.7%,年总成本节约率为36.1%,年二氧化碳减排率为42.1%,综合性能为36.3%). Based on the natural gas and solar energy coupled CCHP system with hybrid energy storage(heat storage/power storage),an optimization model is established from the aspects of energy saving,economy and envi⁃ronmental protection.The rated capacity of the prime mover,the start stop ratio of the prime mover,the solar ther⁃mal/photovoltaic area and the cooling ratio of the electric refrigerator are set as the optimization variables,and the quantum particle swarm optimization algorithm is used to solve the optimization model.After optimization,the opti⁃mal capacity and operation mode of the coupled system are obtained,and a hotel building in Guangzhou is taken as an example to verify the optimal model.The results show that the performance of the coupled system under the two optimal operation modes is better than that of the separate production system,and the performance under follow“electricity”demand mode(annual primary energy saving ratio:37.9%;annual total cost saving ratio:39.9%;an⁃nual CO2 reduction ratio:55.1%;overall performance:44.3%)is better than that under follow“thermal”demand mode(annual primary energy saving ratio:30.7%;annual total cost saving ratio:36.1%;annual CO2 reduction ra⁃tio:42.1%;overall performance:36.3%).
作者 向玉 张国强 XIANG Yu;ZHANG Guoqiang(College of Civil Engineering,Hunan University,Changsha 410082,China)
出处 《湖南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2022年第1期192-202,共11页 Journal of Hunan University:Natural Sciences
基金 湖南省科技重大专项(2011FJ1007)。
关键词 太阳能 冷热电三联供系统 蓄能 量子粒子群算法 solar energy combined cooling,heating and power system energy storage quantum particle swarm optimization
  • 相关文献

参考文献11

二级参考文献117

共引文献140

同被引文献32

引证文献3

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部