IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i5p2404-d1086130.html
   My bibliography  Save this article

Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators

Author

Listed:
  • Zhengyue Zhu

    (School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

  • Ruihao Bian

    (School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

  • Yajun Deng

    (School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

  • Bo Yu

    (School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

  • Dongliang Sun

    (School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China)

Abstract

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.

Suggested Citation

  • Zhengyue Zhu & Ruihao Bian & Yajun Deng & Bo Yu & Dongliang Sun, 2023. "Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators," Energies, MDPI, vol. 16(5), pages 1-21, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2404-:d:1086130
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/5/2404/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/5/2404/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peiró, Gerard & Prieto, Cristina & Gasia, Jaume & Jové, Aleix & Miró, Laia & Cabeza, Luisa F., 2018. "Two-tank molten salts thermal energy storage system for solar power plants at pilot plant scale: Lessons learnt and recommendations for its design, start-up and operation," Renewable Energy, Elsevier, vol. 121(C), pages 236-248.
    2. Li, Xiaolei & Xu, Ershu & Song, Shuang & Wang, Xiangyan & Yuan, Guofeng, 2017. "Dynamic simulation of two-tank indirect thermal energy storage system with molten salt," Renewable Energy, Elsevier, vol. 113(C), pages 1311-1319.
    3. Zarza, Eduardo & Valenzuela, Loreto & León, Javier & Hennecke, Klaus & Eck, Markus & Weyers, H.-Dieter & Eickhoff, Martin, 2004. "Direct steam generation in parabolic troughs: Final results and conclusions of the DISS project," Energy, Elsevier, vol. 29(5), pages 635-644.
    4. Ali Kamil Gumar & Funda Demir, 2022. "Solar Photovoltaic Power Estimation Using Meta-Optimized Neural Networks," Energies, MDPI, vol. 15(22), pages 1-15, November.
    5. Behar, Omar, 2018. "Solar thermal power plants – A review of configurations and performance comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 608-627.
    6. Guo, Jiangfeng & Huai, Xiulan & Cheng, Keyong, 2018. "The comparative analysis on thermal storage systems for solar power with direct steam generation," Renewable Energy, Elsevier, vol. 115(C), pages 217-225.
    7. Al-Habaibeh, Amin & Shakmak, Bubaker & Fanshawe, Simon, 2018. "Assessment of a novel technology for a stratified hot water energy storage – The water snake," Applied Energy, Elsevier, vol. 222(C), pages 189-198.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Soares, João & Oliveira, Armando C. & Valenzuela, Loreto, 2021. "A dynamic model for once-through direct steam generation in linear focus solar collectors," Renewable Energy, Elsevier, vol. 163(C), pages 246-261.
    2. Yu, Qiang & Li, Xiaolei & Wang, Zhifeng & Zhang, Qiangqiang, 2020. "Modeling and dynamic simulation of thermal energy storage system for concentrating solar power plant," Energy, Elsevier, vol. 198(C).
    3. Burin, Eduardo Konrad & Vogel, Tobias & Multhaupt, Sven & Thelen, Andre & Oeljeklaus, Gerd & Görner, Klaus & Bazzo, Edson, 2016. "Thermodynamic and economic evaluation of a solar aided sugarcane bagasse cogeneration power plant," Energy, Elsevier, vol. 117(P2), pages 416-428.
    4. Sadi, M. & Arabkoohsar, A., 2019. "Exergoeconomic analysis of a combined solar-waste driven power plant," Renewable Energy, Elsevier, vol. 141(C), pages 883-893.
    5. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    6. Kumaresan, G. & Sudhakar, P. & Santosh, R. & Velraj, R., 2017. "Experimental and numerical studies of thermal performance enhancement in the receiver part of solar parabolic trough collectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1363-1374.
    7. Fasquelle, T. & Falcoz, Q. & Neveu, P. & Lecat, F. & Flamant, G., 2017. "A thermal model to predict the dynamic performances of parabolic trough lines," Energy, Elsevier, vol. 141(C), pages 1187-1203.
    8. Glasnovic, Zvonimir & Margeta, Karmen & Premec, Krunoslav, 2016. "Could Key Engine, as a new open-source for RES technology development, start the third industrial revolution?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1194-1209.
    9. Wanruo Lou & Lingai Luo & Yuchao Hua & Yilin Fan & Zhenyu Du, 2021. "A Review on the Performance Indicators and Influencing Factors for the Thermocline Thermal Energy Storage Systems," Energies, MDPI, vol. 14(24), pages 1-19, December.
    10. Cristina Prieto & Sonia Fereres & Luisa F. Cabeza, 2020. "The Role of Innovation in Industry Product Deployment: Developing Thermal Energy Storage for Concentrated Solar Power," Energies, MDPI, vol. 13(11), pages 1-19, June.
    11. Hongn, Marcos & Flores Larsen, Silvana, 2018. "Hydrothermal model for small-scale linear Fresnel absorbers with non-uniform stepwise solar distribution," Applied Energy, Elsevier, vol. 223(C), pages 329-346.
    12. Serge Nyallang Nyamsi & Ivan Tolj, 2021. "The Impact of Active and Passive Thermal Management on the Energy Storage Efficiency of Metal Hydride Pairs Based Heat Storage," Energies, MDPI, vol. 14(11), pages 1-24, May.
    13. Peterseim, Juergen H. & White, Stuart & Tadros, Amir & Hellwig, Udo, 2013. "Concentrated solar power hybrid plants, which technologies are best suited for hybridisation?," Renewable Energy, Elsevier, vol. 57(C), pages 520-532.
    14. Monaem Elmnifi & Moneer Amhamed & Naji Abdelwanis & Otman Imrayed, 2018. "Solar Supported Steam Production For Power Generation In Libya," Acta Mechanica Malaysia (AMM), Zibeline International Publishing, vol. 1(2), pages 5-9, February.
    15. Siddiqui, O. & Dincer, I., 2019. "Development and evaluation of a new hybrid ammonia fuel cell system with solar energy," Energy, Elsevier, vol. 189(C).
    16. Kondaiah, P. & Pitchumani, R., 2023. "Progress and opportunities in corrosion mitigation in heat transfer fluids for next-generation concentrating solar power," Renewable Energy, Elsevier, vol. 205(C), pages 956-991.
    17. Aurousseau, Antoine & Vuillerme, Valéry & Bezian, Jean-Jacques, 2016. "Control systems for direct steam generation in linear concentrating solar power plants – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 611-630.
    18. Biencinto, Mario & González, Lourdes & Valenzuela, Loreto, 2016. "A quasi-dynamic simulation model for direct steam generation in parabolic troughs using TRNSYS," Applied Energy, Elsevier, vol. 161(C), pages 133-142.
    19. Qimei Chen & Yan Wang & Jianhan Zhang & Zhifeng Wang, 2020. "The Knowledge Mapping of Concentrating Solar Power Development Based on Literature Analysis Technology," Energies, MDPI, vol. 13(8), pages 1-15, April.
    20. Reyes, A. & Pailahueque, N. & Henríquez-Vargas, L. & Vásquez, J. & Sepúlveda, F., 2019. "Analysis of a multistage solar thermal energy accumulator," Renewable Energy, Elsevier, vol. 136(C), pages 621-631.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2404-:d:1086130. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.