Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow

The circulating cooling water system is widely used in various industrial production fields, and its operating cost largely depends on external factors, such as ambient temperature and working medium flow. Considering the relative elevation of the heat exchanger, this study establishes a total syste...

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Autores principales: Peng Wang, Jinling Lu, Qingsen Cai, Senlin Chen, Xingqi Luo
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:7455de03f0aa407e8490e3c7e838c4be2021-11-11T15:44:31ZAnalysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow10.3390/en142169031996-1073https://doaj.org/article/7455de03f0aa407e8490e3c7e838c4be2021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6903https://doaj.org/toc/1996-1073The circulating cooling water system is widely used in various industrial production fields, and its operating cost largely depends on external factors, such as ambient temperature and working medium flow. Considering the relative elevation of the heat exchanger, this study establishes a total system operation cost analysis and optimization model based on the superstructure method. The model uses ambient dry bulb temperature, ambient wet bulb temperature, and working medium flow as random variables. Water supply temperature is adopted as the decision variable, and the minimum operating cost of the system is used as the objective function. An analysis of the effect of the three random variables on the operation cost shows that the effect of ambient dry bulb temperature on the operation cost is negligible, and the effect of ambient wet bulb temperature and working medium flow on the operation cost is significant. In addition, a control equation of water supply temperature is established to determine the “near optimal” operation, which is based on the correlation among ambient wet bulb temperature, working medium flow, and optimal water supply temperature. Then, the method is applied to a case system. The operating cost of the system is reduced by 22–31% at different times during the sampling day.Peng WangJinling LuQingsen CaiSenlin ChenXingqi LuoMDPI AGarticlecirculating cooling water systemoperating costambient temperatureworking medium flowoptimization modeloptimal water supply temperatureTechnologyTENEnergies, Vol 14, Iss 6903, p 6903 (2021)
institution DOAJ
collection DOAJ
language EN
topic circulating cooling water system
operating cost
ambient temperature
working medium flow
optimization model
optimal water supply temperature
Technology
T
spellingShingle circulating cooling water system
operating cost
ambient temperature
working medium flow
optimization model
optimal water supply temperature
Technology
T
Peng Wang
Jinling Lu
Qingsen Cai
Senlin Chen
Xingqi Luo
Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow
description The circulating cooling water system is widely used in various industrial production fields, and its operating cost largely depends on external factors, such as ambient temperature and working medium flow. Considering the relative elevation of the heat exchanger, this study establishes a total system operation cost analysis and optimization model based on the superstructure method. The model uses ambient dry bulb temperature, ambient wet bulb temperature, and working medium flow as random variables. Water supply temperature is adopted as the decision variable, and the minimum operating cost of the system is used as the objective function. An analysis of the effect of the three random variables on the operation cost shows that the effect of ambient dry bulb temperature on the operation cost is negligible, and the effect of ambient wet bulb temperature and working medium flow on the operation cost is significant. In addition, a control equation of water supply temperature is established to determine the “near optimal” operation, which is based on the correlation among ambient wet bulb temperature, working medium flow, and optimal water supply temperature. Then, the method is applied to a case system. The operating cost of the system is reduced by 22–31% at different times during the sampling day.
format article
author Peng Wang
Jinling Lu
Qingsen Cai
Senlin Chen
Xingqi Luo
author_facet Peng Wang
Jinling Lu
Qingsen Cai
Senlin Chen
Xingqi Luo
author_sort Peng Wang
title Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow
title_short Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow
title_full Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow
title_fullStr Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow
title_full_unstemmed Analysis and Optimization of Cooling Water System Operating Cost under Changes in Ambient Temperature and Working Medium Flow
title_sort analysis and optimization of cooling water system operating cost under changes in ambient temperature and working medium flow
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/7455de03f0aa407e8490e3c7e838c4be
work_keys_str_mv AT pengwang analysisandoptimizationofcoolingwatersystemoperatingcostunderchangesinambienttemperatureandworkingmediumflow
AT jinlinglu analysisandoptimizationofcoolingwatersystemoperatingcostunderchangesinambienttemperatureandworkingmediumflow
AT qingsencai analysisandoptimizationofcoolingwatersystemoperatingcostunderchangesinambienttemperatureandworkingmediumflow
AT senlinchen analysisandoptimizationofcoolingwatersystemoperatingcostunderchangesinambienttemperatureandworkingmediumflow
AT xingqiluo analysisandoptimizationofcoolingwatersystemoperatingcostunderchangesinambienttemperatureandworkingmediumflow
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