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Strategical district cooling system operation with accurate spatiotemporal consumption modeling
Yan, Biao1,2; Chen, Ge1; Zhang, Hongcai1; Wong, Man Chung1
2021-09-15
Source PublicationEnergy and Buildings
ISSN0378-7788
Volume247
Abstract

As a large integrated energy system, district cooling system (DCS) is widely proposed for its favorable comprehensive performance. However, due to the high complexity of DCS structure and comprehensive influential variables on cooling demand, to propose an effective operational strategy that not only enhances energy efficiency but also ensures indoor thermal comfort is quite challenging. This research proposes a novel and online multi-objective optimization strategy for DCS operations, which minimizes both energy consumption and thermal discomfort, to tackle the aforementioned challenge. The proposed strategy incorporates accurate spatiotemporal cooling demand modeling: (1) On the one hand, cooling load models of both cooling dissipations during transport networks and cooling end consumers considering comprehensive influence of outdoor meteorological parameters are described; (2) On the other hand, all power consumption components in the DCS including chiller, pump, fan coil, fan of cooling tower, are built and connected with system cooling demand. Numerical experiments based on a real-world DCS are conducted to validate the proposed strategy. The results show that by adopting the proposed strategy, energy consumption cost and thermal comfort can be effectively optimized and can save an extra 5% of energy consumption comparing with published strategies.

KeywordDistrict Cooling System Energy Efficiency Operation Optimization Spatiotemporal Modeling Thermal Comfort
DOI10.1016/j.enbuild.2021.111165
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaConstruction & Building Technology ; Engineering ; Energy & Fuels
WOS SubjectConstruction & Building Technology ; Energy & Fuels ; Engineering, Civil
WOS IDWOS:000669604300001
Scopus ID2-s2.0-85107910247
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorZhang, Hongcai
Affiliation1.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao, 999078, China
2.School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, 510006, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yan, Biao,Chen, Ge,Zhang, Hongcai,et al. Strategical district cooling system operation with accurate spatiotemporal consumption modeling[J]. Energy and Buildings,2021,247.
APA Yan, Biao,Chen, Ge,Zhang, Hongcai,&Wong, Man Chung.(2021).Strategical district cooling system operation with accurate spatiotemporal consumption modeling.Energy and Buildings,247.
MLA Yan, Biao,et al."Strategical district cooling system operation with accurate spatiotemporal consumption modeling".Energy and Buildings 247(2021).
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