Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm
ABSTRACT Integrated modeling and operation optimization of building energy systems is significant for improving the energy utilization efficiency and reducing carbon emission. This paper introduces the standardized thermal resistance to construct an overall heat current model of the building cooling...
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | Energy Science & Engineering |
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| Online Access: | https://doi.org/10.1002/ese3.2012 |
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| author | Liang Tian Bohong Lai Tianzhen Yang Xingce Wang Junhong Hao Kaicheng Liu |
| author_facet | Liang Tian Bohong Lai Tianzhen Yang Xingce Wang Junhong Hao Kaicheng Liu |
| author_sort | Liang Tian |
| collection | DOAJ |
| description | ABSTRACT Integrated modeling and operation optimization of building energy systems is significant for improving the energy utilization efficiency and reducing carbon emission. This paper introduces the standardized thermal resistance to construct an overall heat current model of the building cooling system with coupled heat transfer, mass transfer, and energy conversion processes. Based on the heat current model, we derive the holistic thermal energy transfer and conversion constraints on the system level and reduce the intermediate parameters of the system model. Moreover, the genetic algorithm is introduced to optimize the system operation conditions under the given system structure parameters. The optimization results provide the optimal mass flow distribution of cooling water, return water, and ambient air and meanwhile show that the compressor power consumption can reach 76.5% of the total system power consumption. The change of user behavior by raising the room temperature to 4°C can reduce the total system power consumption by 20%. The results are in line with the theoretical reality and prove the feasibility and effectiveness of the method proposed in this paper, which provides a practical reference for the energy‐saving operation of the building cooling system. |
| format | Article |
| id | doaj-art-2665a327daff49ea93d5271a826a7cef |
| institution | Kabale University |
| issn | 2050-0505 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj-art-2665a327daff49ea93d5271a826a7cef2025-01-21T11:38:24ZengWileyEnergy Science & Engineering2050-05052025-01-0113139240410.1002/ese3.2012Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic AlgorithmLiang Tian0Bohong Lai1Tianzhen Yang2Xingce Wang3Junhong Hao4Kaicheng Liu5School of Energy Power and Mechnical Engineering, Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education North China Electric Power University Beijing ChinaSchool of Energy Power and Mechnical Engineering, Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education North China Electric Power University Beijing ChinaSchool of Energy Power and Mechnical Engineering, Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education North China Electric Power University Beijing ChinaSchool of Energy Power and Mechnical Engineering, Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education North China Electric Power University Beijing ChinaSchool of Energy Power and Mechnical Engineering, Key Laboratory of Power Station Energy Transfer Conversion, Ministry of Education North China Electric Power University Beijing ChinaChina electric Power research institute Beijing ChinaABSTRACT Integrated modeling and operation optimization of building energy systems is significant for improving the energy utilization efficiency and reducing carbon emission. This paper introduces the standardized thermal resistance to construct an overall heat current model of the building cooling system with coupled heat transfer, mass transfer, and energy conversion processes. Based on the heat current model, we derive the holistic thermal energy transfer and conversion constraints on the system level and reduce the intermediate parameters of the system model. Moreover, the genetic algorithm is introduced to optimize the system operation conditions under the given system structure parameters. The optimization results provide the optimal mass flow distribution of cooling water, return water, and ambient air and meanwhile show that the compressor power consumption can reach 76.5% of the total system power consumption. The change of user behavior by raising the room temperature to 4°C can reduce the total system power consumption by 20%. The results are in line with the theoretical reality and prove the feasibility and effectiveness of the method proposed in this paper, which provides a practical reference for the energy‐saving operation of the building cooling system.https://doi.org/10.1002/ese3.2012building cooling systemgenetic algorithmoptimal operationstandardized thermal resistancesystem integrated modeling |
| spellingShingle | Liang Tian Bohong Lai Tianzhen Yang Xingce Wang Junhong Hao Kaicheng Liu Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm Energy Science & Engineering building cooling system genetic algorithm optimal operation standardized thermal resistance system integrated modeling |
| title | Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm |
| title_full | Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm |
| title_fullStr | Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm |
| title_full_unstemmed | Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm |
| title_short | Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm |
| title_sort | integrated modeling and optimal operation strategy of building cooling system combining the standardized thermal resistance and genetic algorithm |
| topic | building cooling system genetic algorithm optimal operation standardized thermal resistance system integrated modeling |
| url | https://doi.org/10.1002/ese3.2012 |
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