LAPSE:2023.19823
Published Article
LAPSE:2023.19823
A Variable Performance Parameters Temperature−Flowrate Scheduling Model for Integrated Energy Systems
Hong-Hai Niu, Yang Zhao, Shang-Shang Wei, Yi-Guo Li
March 9, 2023
Optimal scheduling strategy of integrated energy systems (IES) with combined cooling, heating and power (CCHP) has become increasingly important. In order to make the scheduling strategy fit to the practical implementation, this paper proposes a variable performance parameters temperature−flowrate scheduling model for IES with CCHP. The novel scheduling model is established by taking flowrate and temperature as decision variables directly. In addition, performance parameters are treated as variables rather than constants in the proposed model. Specifically, the efficiencies of the gas turbine and the waste heating boiler are estimated with the partial load factor, and the coefficient of performance (COP) of the electrical chillers and heat pumps are estimated with the partial load factor and outlet water temperature. Then, to deal with the model nonlinearities caused by considering the variability of COPs, the COP-expansion method is developed by adopting a specific representation of the COP and the expansion of the outlet water temperature. Finally, case studies show that the variable performance parameters’ temperature−flowrate scheduling model can account for the variation of performance parameters, especially the impacts of water temperature and the part load factor on the COP. Therefore, the proposed scheduling model can obtain more adequate and feasible operation strategy, thereby suggesting its applicability in engineering practice.
Keywords
COP-expansion method, integrated energy system in China, linearization technique, mixed integer linear programming, optimal operation strategy, temperature–flowrate based scheduling model, variable performance parameter
Suggested Citation
Niu HH, Zhao Y, Wei SS, Li YG. A Variable Performance Parameters Temperature−Flowrate Scheduling Model for Integrated Energy Systems. (2023). LAPSE:2023.19823
Author Affiliations
Niu HH: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China; Nanjing NARI-RELAYS Electric Co., Ltd., Nanjing 211102, China [ORCID]
Zhao Y: Nanjing NARI-RELAYS Electric Co., Ltd., Nanjing 211102, China
Wei SS: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
Li YG: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
Journal Name
Energies
Volume
14
Issue
17
First Page
5400
Year
2021
Publication Date
2021-08-30
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14175400, Publication Type: Journal Article
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doi:10.3390/en14175400
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