IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v311y2024ics0360544224031360.html
   My bibliography  Save this article

Multi-objective optimization and influence degree analysis of the thermally integrated HP-ORC carnot battery based on the orthogonal design method and grey relational analysis

Author

Listed:
  • Yang, Chengwu
  • Xia, Xiaoxia
  • Peng, Bo
  • Wang, Zhiqi
  • Zhang, Hualong
  • Liang, Enxue

Abstract

Thermally integrated heat pump (HP)-organic Rankine cycle (ORC) Carnot battery is a promising solution for efficient energy storage and waste heat utilization. Firstly, in order to research the influence degree of the operating parameters on the system performance, single-objective optimization is conducted by the orthogonal design method. Then, multi-objective optimization is conducted by combining the grey relational analysis (GRA) and orthogonal design method to assess the comprehensive performance of the system. The importance order and contribution rates of the operating parameters and the optimal operating combinations are determined. Finally, in order to explore the influence mechanism of the parameters on the system performance, the influence of the parameters on the subsystems and the subsystems on the whole system is quantitatively analyzed. The results show that thermal storage temperature difference, waste heat temperature difference and cold source temperature are the most important parameters affecting the comprehensive performance of the whole system. Under the optimal operating conditions, round-trip efficiency, exergy efficiency, energy storage capacity (ESC), energy storage density (ESD) and levelized cost of storage (LCOS) are 47.05 %, 22.66 %, 1943 kW, 2.90 kWh/m3 and 0.38$/kWh, respectively. Compared to the ORC subsystem, the HP subsystem is more important to round-trip efficiency and exergy efficiency.

Suggested Citation

  • Yang, Chengwu & Xia, Xiaoxia & Peng, Bo & Wang, Zhiqi & Zhang, Hualong & Liang, Enxue, 2024. "Multi-objective optimization and influence degree analysis of the thermally integrated HP-ORC carnot battery based on the orthogonal design method and grey relational analysis," Energy, Elsevier, vol. 311(C).
  • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224031360
    DOI: 10.1016/j.energy.2024.133360
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224031360
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133360?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dumont, O. & Lemort, V., 2020. "Mapping of performance of pumped thermal energy storage (Carnot battery) using waste heat recovery," Energy, Elsevier, vol. 211(C).
    2. Bademlioglu, A.H. & Canbolat, A.S. & Kaynakli, O., 2020. "Multi-objective optimization of parameters affecting Organic Rankine Cycle performance characteristics with Taguchi-Grey Relational Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    3. Hu, Dingding & Zhou, Kaile & Li, Fangyi & Ma, Dawei, 2022. "Electric vehicle user classification and value discovery based on charging big data," Energy, Elsevier, vol. 249(C).
    4. Xia, Xiaoxia & Yang, Chengwu & Wang, Zhiqi & Sun, Tong & Zhang, Hualong & Wu, Jinhao, 2024. "Multi-objective optimization of the dual-pressure organic Rankine cycle system based on the orthogonal design method under different external conditions," Energy, Elsevier, vol. 296(C).
    5. Dawo, Fabian & Fleischmann, Jonas & Kaufmann, Florian & Schifflechner, Christopher & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2021. "R1224yd(Z), R1233zd(E) and R1336mzz(Z) as replacements for R245fa: Experimental performance, interaction with lubricants and environmental impact," Applied Energy, Elsevier, vol. 288(C).
    6. Liang, Ting & Vecchi, Andrea & Knobloch, Kai & Sciacovelli, Adriano & Engelbrecht, Kurt & Li, Yongliang & Ding, Yulong, 2022. "Key components for Carnot Battery: Technology review, technical barriers and selection criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    7. Eppinger, Bernd & Steger, Daniel & Regensburger, Christoph & Karl, Jürgen & Schlücker, Eberhard & Will, Stefan, 2021. "Carnot battery: Simulation and design of a reversible heat pump-organic Rankine cycle pilot plant," Applied Energy, Elsevier, vol. 288(C).
    8. Hodge, Bri-Mathias & Brancucci Martinez-Anido, Carlo & Wang, Qin & Chartan, Erol & Florita, Anthony & Kiviluoma, Juha, 2018. "The combined value of wind and solar power forecasting improvements and electricity storage," Applied Energy, Elsevier, vol. 214(C), pages 1-15.
    9. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    10. Xi, Huan & Zhang, Honghu & He, Ya-Ling & Huang, Zuohua, 2019. "Sensitivity analysis of operation parameters on the system performance of organic rankine cycle system using orthogonal experiment," Energy, Elsevier, vol. 172(C), pages 435-442.
    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. Xia, Xiaoxia & Yang, Chengwu & Wang, Zhiqi & Sun, Tong & Zhang, Hualong & Wu, Jinhao, 2024. "Multi-objective optimization of the dual-pressure organic Rankine cycle system based on the orthogonal design method under different external conditions," Energy, Elsevier, vol. 296(C).
    2. Sui, Yunren & Lin, Haosheng & Ding, Zhixiong & Li, Fuxiang & Sui, Zengguang & Wu, Wei, 2024. "Compact, efficient, and affordable absorption Carnot battery for long-term renewable energy storage," Applied Energy, Elsevier, vol. 357(C).
    3. Alsagri, Ali Sulaiman, 2023. "An innovative design of solar-assisted carnot battery for multigeneration of power, cooling, and process heating: Techno-economic analysis and optimization," Renewable Energy, Elsevier, vol. 210(C), pages 375-385.
    4. Wu, Ding & Ma, Bo & Zhang, Ji & Chen, Yanqi & Shen, Feifan & Chen, Xun & Wen, Chuang & Yang, Yan, 2024. "Working fluid pair selection of thermally integrated pumped thermal electricity storage system for waste heat recovery and energy storage," Applied Energy, Elsevier, vol. 371(C).
    5. Carro, A. & Chacartegui, R. & Ortiz, C. & Carneiro, J. & Becerra, J.A., 2022. "Integration of energy storage systems based on transcritical CO2: Concept of CO2 based electrothermal energy and geological storage," Energy, Elsevier, vol. 238(PA).
    6. Weitzer, Maximilian & Müller, Dominik & Karl, Jürgen, 2022. "Two-phase expansion processes in heat pump – ORC systems (Carnot batteries) with volumetric machines for enhanced off-design efficiency," Renewable Energy, Elsevier, vol. 199(C), pages 720-732.
    7. Ameen, Muhammad Tahir & Ma, Zhiwei & Smallbone, Andrew & Norman, Rose & Roskilly, Anthony Paul, 2023. "Demonstration system of pumped heat energy storage (PHES) and its round-trip efficiency," Applied Energy, Elsevier, vol. 333(C).
    8. 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.
    9. Bernd Eppinger & Mustafa Muradi & Daniel Scharrer & Lars Zigan & Peter Bazan & Reinhard German & Stefan Will, 2021. "Simulation of the Part Load Behavior of Combined Heat Pump-Organic Rankine Cycle Systems," Energies, MDPI, vol. 14(13), pages 1-18, June.
    10. Sun, Yang & Zhang, Xiang & Xu, Cheng & Li, Chao & Shao, Mingxuan & Wang, Dechang & Yang, Qirong & Sun, Hongchen, 2024. "Storing electricity in the low-rank coal: The heat-upgrading carnot battery concept and a comprehensive thermodynamic analysis," Energy, Elsevier, vol. 312(C).
    11. José Ignacio Linares & Arturo Martín-Colino & Eva Arenas & María José Montes & Alexis Cantizano & José Rubén Pérez-Domínguez, 2023. "Carnot Battery Based on Brayton Supercritical CO 2 Thermal Machines Using Concentrated Solar Thermal Energy as a Low-Temperature Source," Energies, MDPI, vol. 16(9), pages 1-24, May.
    12. Canpolat Tosun, Demet & Açıkkalp, Emin & Altuntas, Onder & Hepbasli, Arif & Palmero-Marrero, Ana I. & Borge-Diez, David, 2023. "Dynamic performance and sustainability assessment of a PV driven Carnot battery," Energy, Elsevier, vol. 278(C).
    13. Zhang, Xuanang & Wang, Xuan & Cai, Jinwen & He, Zhaoxian & Tian, Hua & Shu, Gequn & Shi, Lingfeng, 2022. "Experimental study on operating parameters matching characteristic of the organic Rankine cycle for engine waste heat recovery," Energy, Elsevier, vol. 244(PA).
    14. Yasemin Merzifonluoglu & Eray Uzgoren, 2018. "Photovoltaic power plant design considering multiple uncertainties and risk," Annals of Operations Research, Springer, vol. 262(1), pages 153-184, March.
    15. Chen, Long Xiang & Xie, Mei Na & Zhao, Pan Pan & Wang, Feng Xiang & Hu, Peng & Wang, Dong Xiang, 2018. "A novel isobaric adiabatic compressed air energy storage (IA-CAES) system on the base of volatile fluid," Applied Energy, Elsevier, vol. 210(C), pages 198-210.
    16. Miguel J. Prieto & Juan Á. Martínez & Rogelio Peón & Lourdes Á. Barcia & Fernando Nuño, 2017. "On the Convenience of Using Simulation Models to Optimize the Control Strategy of Molten-Salt Heat Storage Systems in Solar Thermal Power Plants," Energies, MDPI, vol. 10(7), pages 1-17, July.
    17. Wang, Longyi & Wu, Mei & Sun, Xiao & Gan, Zhihua, 2016. "A cascade pulse tube cooler capable of energy recovery," Applied Energy, Elsevier, vol. 164(C), pages 572-578.
    18. Majumder, Suman & De, Krishnarti & Kumar, Praveen & Sengupta, Bodhisattva & Biswas, Pabitra Kumar, 2021. "Techno-commercial analysis of sustainable E-bus-based public transit systems: An Indian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    19. Cheayb, Mohamad & Marin Gallego, Mylène & Tazerout, Mohand & Poncet, Sébastien, 2022. "A techno-economic analysis of small-scale trigenerative compressed air energy storage system," Energy, Elsevier, vol. 239(PA).
    20. Ziad Ragab & Ehsan Pashajavid & Sumedha Rajakaruna, 2024. "Optimal Sizing and Economic Analysis of Community Battery Systems Considering Sensitivity and Uncertainty Factors," Energies, MDPI, vol. 17(18), pages 1-20, September.

    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:eee:energy:v:311:y:2024:i:c:s0360544224031360. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.