An improved method of applying PSO-BP to optimize PAT energy efficiency based on entropy production theory
•Combining CFD and experimental methods enhances optimization efficiency.•The PSO-BP algorithm improved with entropy production theory (EP) makes PAT efficiency prediction more accurate.•An objective function that includes both pump and turbine conditions reflect comprehensive optimization effects....
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| Vydáno v: | Energy conversion and management Ročník 327; s. 119472 |
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| Hlavní autoři: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.03.2025
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| Témata: | |
| ISSN: | 0196-8904 |
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| Abstract | •Combining CFD and experimental methods enhances optimization efficiency.•The PSO-BP algorithm improved with entropy production theory (EP) makes PAT efficiency prediction more accurate.•An objective function that includes both pump and turbine conditions reflect comprehensive optimization effects.
Pump as turbine (PAT) is a comprehensive equipment combining pump and turbine, and is one of the excellent pumped energy storage devices. The optimization of geometric diversion is an important means to improve the energy conversion efficiency of PAT. In order to study the effective energy conversion measures, this paper puts forward the method combining entropy production (EP) and PSO-BP to optimize the measures. Compared with the traditional PSO-BP method, this method first introduces the learning factor and the weight factor to improve the search efficiency of PSO, then describes the internal flow of PAT from the perspective of energy in terms of time-average and dissipative EP in the pulsating velocity field, and introduces it into the prediction of PSO-BP. To validate the effectiveness of the method, a cross Inducer is installed in the PAT, and both computational fluid dynamics (CFD) simulation and experimental testing are employed. The results show that the R2 of EP-PSO-BP prediction model is increased to 0.95983 compared with PSO-BP of 0.77451, and predicted results are more consistent with the experimental results. Finally, the sensitivity analysis of several control parameters is also done to verify the influence of parameters on the prediction results. This method improves the optimization ability of PSO-BP and the prediction accuracy of PAT optimization measures, and is an effective method for PAT optimization. |
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| AbstractList | •Combining CFD and experimental methods enhances optimization efficiency.•The PSO-BP algorithm improved with entropy production theory (EP) makes PAT efficiency prediction more accurate.•An objective function that includes both pump and turbine conditions reflect comprehensive optimization effects.
Pump as turbine (PAT) is a comprehensive equipment combining pump and turbine, and is one of the excellent pumped energy storage devices. The optimization of geometric diversion is an important means to improve the energy conversion efficiency of PAT. In order to study the effective energy conversion measures, this paper puts forward the method combining entropy production (EP) and PSO-BP to optimize the measures. Compared with the traditional PSO-BP method, this method first introduces the learning factor and the weight factor to improve the search efficiency of PSO, then describes the internal flow of PAT from the perspective of energy in terms of time-average and dissipative EP in the pulsating velocity field, and introduces it into the prediction of PSO-BP. To validate the effectiveness of the method, a cross Inducer is installed in the PAT, and both computational fluid dynamics (CFD) simulation and experimental testing are employed. The results show that the R2 of EP-PSO-BP prediction model is increased to 0.95983 compared with PSO-BP of 0.77451, and predicted results are more consistent with the experimental results. Finally, the sensitivity analysis of several control parameters is also done to verify the influence of parameters on the prediction results. This method improves the optimization ability of PSO-BP and the prediction accuracy of PAT optimization measures, and is an effective method for PAT optimization. Pump as turbine (PAT) is a comprehensive equipment combining pump and turbine, and is one of the excellent pumped energy storage devices. The optimization of geometric diversion is an important means to improve the energy conversion efficiency of PAT. In order to study the effective energy conversion measures, this paper puts forward the method combining entropy production (EP) and PSO-BP to optimize the measures. Compared with the traditional PSO-BP method, this method first introduces the learning factor and the weight factor to improve the search efficiency of PSO, then describes the internal flow of PAT from the perspective of energy in terms of time-average and dissipative EP in the pulsating velocity field, and introduces it into the prediction of PSO-BP. To validate the effectiveness of the method, a cross Inducer is installed in the PAT, and both computational fluid dynamics (CFD) simulation and experimental testing are employed. The results show that the R² of EP-PSO-BP prediction model is increased to 0.95983 compared with PSO-BP of 0.77451, and predicted results are more consistent with the experimental results. Finally, the sensitivity analysis of several control parameters is also done to verify the influence of parameters on the prediction results. This method improves the optimization ability of PSO-BP and the prediction accuracy of PAT optimization measures, and is an effective method for PAT optimization. |
| ArticleNumber | 119472 |
| Author | Jiao, Weixuan Cui, Yuna Jiang, Hongying Xu, Wentao Yan, Hongqin Cheng, Li |
| Author_xml | – sequence: 1 givenname: Wentao surname: Xu fullname: Xu, Wentao organization: College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, 225009, China – sequence: 2 givenname: Li surname: Cheng fullname: Cheng, Li email: chengli@yzu.edu.cn organization: College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, 225009, China – sequence: 3 givenname: Yuna surname: Cui fullname: Cui, Yuna organization: College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, 225009, China – sequence: 4 givenname: Hongqin surname: Yan fullname: Yan, Hongqin organization: Hydraulic Engineering Science and Technology Consultation Limited Company of Jiangsu Province, Nanjing 210029, China – sequence: 5 givenname: Hongying surname: Jiang fullname: Jiang, Hongying organization: Hydraulic Engineering Science and Technology Consultation Limited Company of Jiangsu Province, Nanjing 210029, China – sequence: 6 givenname: Weixuan surname: Jiao fullname: Jiao, Weixuan organization: College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, 225009, China |
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| Cites_doi | 10.1115/1.2409332 10.1007/s12206-019-0423-x 10.3390/ma12121889 10.1063/5.0022428 10.1016/j.ijheatmasstransfer.2003.11.025 10.1177/09544062221115105 10.1016/j.renene.2021.08.092 10.3390/en15051707 10.3390/en12061026 10.1016/j.renene.2023.119873 10.1007/s42241-019-0022-4 10.3390/en15249280 10.1016/j.egyr.2021.10.003 10.1177/1687814015595339 10.1016/j.energy.2023.127953 10.1016/j.renene.2016.08.020 10.1016/j.oceaneng.2023.116366 10.1016/j.apenergy.2017.03.126 10.1016/j.aej.2024.05.003 10.1016/j.rser.2017.04.071 10.1016/j.renene.2022.07.024 10.1016/j.renene.2018.10.058 10.1016/j.energy.2022.124794 10.1016/j.energy.2022.126374 10.3390/en13092271 10.1007/s12206-018-1224-3 10.1016/j.icheatmasstransfer.2020.104898 10.3390/machines10030167 10.1016/j.enconman.2024.118684 10.1016/j.energy.2024.130514 10.3390/en11010248 10.1016/j.energy.2021.121448 |
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| Snippet | •Combining CFD and experimental methods enhances optimization efficiency.•The PSO-BP algorithm improved with entropy production theory (EP) makes PAT... Pump as turbine (PAT) is a comprehensive equipment combining pump and turbine, and is one of the excellent pumped energy storage devices. The optimization of... |
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| SubjectTerms | administrative management energy efficiency Energy optimization entropy Entropy production fluid mechanics geometry prediction PSO-BP Pump as turbine |
| Title | An improved method of applying PSO-BP to optimize PAT energy efficiency based on entropy production theory |
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