Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators
A single sensible thermal storage system has the disadvantage of poor system efficiency, and a sensible-latent graded thermal storage system can effectively solve this problem. Moreover, the graded thermal storage system has the virtue of being adjustable, which can be adapted to many power generati...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/5/2404 |
| _version_ | 1797615391073107968 |
|---|---|
| author | Zhengyue Zhu Ruihao Bian Yajun Deng Bo Yu Dongliang Sun |
| author_facet | Zhengyue Zhu Ruihao Bian Yajun Deng Bo Yu Dongliang Sun |
| author_sort | Zhengyue Zhu |
| collection | DOAJ |
| description | A single sensible thermal storage system has the disadvantage of poor system efficiency, and a sensible-latent graded thermal storage system can effectively solve this problem. Moreover, the graded thermal storage system has the virtue of being adjustable, which can be adapted to many power generation systems. Therefore, this paper first analyzes the influence factors of the graded thermal storage system’s exergy and thermal efficiency. Subsequently, each factor’s significance was analyzed using the response surface method, and the prediction model for system exergy efficiency and cost was established using the support vector machine method. Finally, the second-generation nondominated sorting genetic algorithm (NSGA-II) was used to globally optimize the graded thermal storage system’s exergy efficiency and cost by Matlab software. As a result, the exergy efficiency was increased by 11.01%, and the cost was reduced by RMB 5.85 million. In general, the effect of multi-objective optimization is obvious. |
| first_indexed | 2024-03-11T07:25:36Z |
| format | Article |
| id | doaj.art-7c53718f5b4e4ae187f1a1f024426781 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T07:25:36Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7c53718f5b4e4ae187f1a1f0244267812023-11-17T07:38:13ZengMDPI AGEnergies1996-10732023-03-01165240410.3390/en16052404Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish ConcentratorsZhengyue Zhu0Ruihao Bian1Yajun Deng2Bo Yu3Dongliang Sun4School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaSchool of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaSchool of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaSchool of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaSchool of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaA single sensible thermal storage system has the disadvantage of poor system efficiency, and a sensible-latent graded thermal storage system can effectively solve this problem. Moreover, the graded thermal storage system has the virtue of being adjustable, which can be adapted to many power generation systems. Therefore, this paper first analyzes the influence factors of the graded thermal storage system’s exergy and thermal efficiency. Subsequently, each factor’s significance was analyzed using the response surface method, and the prediction model for system exergy efficiency and cost was established using the support vector machine method. Finally, the second-generation nondominated sorting genetic algorithm (NSGA-II) was used to globally optimize the graded thermal storage system’s exergy efficiency and cost by Matlab software. As a result, the exergy efficiency was increased by 11.01%, and the cost was reduced by RMB 5.85 million. In general, the effect of multi-objective optimization is obvious.https://www.mdpi.com/1996-1073/16/5/2404sensible-latent graded thermal storage systemdish type solar thermal powerdirect steam generationmulti-objective optimization |
| spellingShingle | Zhengyue Zhu Ruihao Bian Yajun Deng Bo Yu Dongliang Sun Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators Energies sensible-latent graded thermal storage system dish type solar thermal power direct steam generation multi-objective optimization |
| title | Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators |
| title_full | Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators |
| title_fullStr | Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators |
| title_full_unstemmed | Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators |
| title_short | Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators |
| title_sort | multi objective optimization of graded thermal storage system for direct steam generation with dish concentrators |
| topic | sensible-latent graded thermal storage system dish type solar thermal power direct steam generation multi-objective optimization |
| url | https://www.mdpi.com/1996-1073/16/5/2404 |
| work_keys_str_mv | AT zhengyuezhu multiobjectiveoptimizationofgradedthermalstoragesystemfordirectsteamgenerationwithdishconcentrators AT ruihaobian multiobjectiveoptimizationofgradedthermalstoragesystemfordirectsteamgenerationwithdishconcentrators AT yajundeng multiobjectiveoptimizationofgradedthermalstoragesystemfordirectsteamgenerationwithdishconcentrators AT boyu multiobjectiveoptimizationofgradedthermalstoragesystemfordirectsteamgenerationwithdishconcentrators AT dongliangsun multiobjectiveoptimizationofgradedthermalstoragesystemfordirectsteamgenerationwithdishconcentrators |