登录    注册    忘记密码    使用帮助

详细信息

Optimum control strategy for all-variable speed chiller plant  ( SCI-EXPANDED收录 EI收录)   被引量:1

文献类型:期刊文献

中文题名:Optimum control strategy for all-variable speed chiller plant

英文题名:Optimum control strategy for all-variable speed chiller plant

作者:Jiang Xiao-qiang[1,2];Long Wei-ding[3];Li Min[1]

机构:[1]Guangdong Ocean Univ, Coll Engn, Zhanjiang 524025, Peoples R China;[2]Tongji Univ, Coll Mech Engn, Shanghai 200092, Peoples R China;[3]Tongji Univ, Sino German Sch Appl Sci, Shanghai 200092, Peoples R China

年份:2011

卷号:18

期号:2

起止页码:573

中文期刊名:Journal of Central South University

外文期刊名:JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY

收录:SCI-EXPANDED(收录号:WOS:000290916100043)、CSTPCD、、EI(收录号:20112013977848)、Scopus(收录号:2-s2.0-79955856426)、WOS

基金:Project(G-0805-10156) supported by US Energy Foundation

语种:英文

中文关键词:chiller plant; control strategy; variable speed; cooling water flow rate; chilled water flow rate

外文关键词:chiller plant; control strategy; variable speed; cooling water flow rate; chilled water flow rate

中文摘要:The optimum control strategy and the saving potential of all variable chiller plant under the conditions of changing building cooling load and cooling water supply temperature were investigated. Based on a simulation model of water source chiller plant established in dynamic transient simulation program (TRNSYS),the four-variable quadratic orthogonal regression experiments were carried out by taking cooling load,cooling water supply temperature,cooling water flow rate and chilled water flow rate as variables,and the fitting formulas expressing the relationships between the total energy consumption of chiller plant with the four selected parameters was obtained. With the SAS statistical software and MATHEMATICA mathematical software,the optimal chilled water flow rate and cooling water flow rate which result in the minimum total energy consumption were determined under continuously varying cooling load and cooling water supply temperature. With regard to a chiller plant serving an office building in Shanghai,the total energy consumptions under different control strategies were computed in terms of the forecasting function of cooling load and water source temperature. The results show that applying the optimal control strategy to the chiller plant can bring a saving of 23.27% in power compared with the corresponding conventional variable speed plant,indicating that the optimal control strategy can improve the energy efficiency of chiller plant.

外文摘要:The optimum control strategy and the saving potential of all variable chiller plant under the conditions of changing building cooling load and cooling water supply temperature were investigated. Based on a simulation model of water source chiller plant established in dynamic transient simulation program (TRNSYS), the four-variable quadratic orthogonal regression experiments were carried out by taking cooling load, cooling water supply temperature, cooling water flow rate and chilled water flow rate as variables, and the fitting formulas expressing the relationships between the total energy consumption of chiller plant with the four selected parameters was obtained. With the SAS statistical software and MATHEMATICA mathematical software, the optimal chilled water flow rate and cooling water flow rate which result in the minimum total energy consumption were determined under continuously varying cooling load and cooling water supply temperature. With regard to a chiller plant serving an office building in Shanghai, the total energy consumptions under different control strategies were computed in terms of the forecasting function of cooling load and water source temperature. The results show that applying the optimal control strategy to the chiller plant can bring a saving of 23.27% in power compared with the corresponding conventional variable speed plant, indicating that the optimal control strategy can improve the energy efficiency of chiller plant.

参考文献:

正在载入数据...

版权所有©广东海洋大学 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心