IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223028207.html
   My bibliography  Save this article

Optimizing sustainable energy solutions: A comprehensive analysis of geothermal-powered compressed air energy storage system

Author

Listed:
  • Yu, Jie
  • Hu, Jianqiang
  • Yan, Pengyang
  • Ashraf Talesh, Seyed Saman

Abstract

The present study introduces a novel combined energy storage system that integrates geothermal and modified adiabatic compressed air technologies. The system employs both dual-pressure and single-pressure organic Rankine cycles, upgraded by a zeotropic mixture, to recover waste heat. The introduced combination is analyzed through thermodynamic and economic approaches. A detailed sensitivity analysis is applied to the geothermal plant and adiabatic compressed air system. Additionally, a triple objective optimization of energy, exergy, and economics is carried out to achieve the optimum state of the geothermal plant. Consequently, the geothermal plant produces 5.54 MW of power, of which 2.41 MW is consumed in the adiabatic compressed air system by compressors and high-temperature energy storage during the charging phase. The system provides 7.14 MW of power for peak shaving during the discharging phase, resulting in a 63.15 % exergy efficiency for the geothermal system and a 66.22 % exergy round-trip efficiency for the adiabatic compressed air system. The performance of the geothermal plant is highly sensitive to the inlet pressure of the second separator, while the pressure ratio between the charging and discharging phases significantly affects the performance of the adiabatic compressed air system. The payback period and net profit of the system are estimated to be approximately 4.09 years and $13.55 million at the optimum state.

Suggested Citation

  • Yu, Jie & Hu, Jianqiang & Yan, Pengyang & Ashraf Talesh, Seyed Saman, 2023. "Optimizing sustainable energy solutions: A comprehensive analysis of geothermal-powered compressed air energy storage system," Energy, Elsevier, vol. 285(C).
  • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028207
    DOI: 10.1016/j.energy.2023.129426
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223028207
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129426?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. Zeyghami, Mehdi, 2015. "Performance analysis and binary working fluid selection of combined flash-binary geothermal cycle," Energy, Elsevier, vol. 88(C), pages 765-774.
    2. Farzad Hamrang & Afshar Shokri & S. M. Seyed Mahmoudi & Biuk Ehghaghi & Marc A. Rosen, 2020. "Performance Analysis of a New Electricity and Freshwater Production System Based on an Integrated Gasification Combined Cycle and Multi-Effect Desalination," Sustainability, MDPI, vol. 12(19), pages 1-29, September.
    3. Kavian, Soheil & Aghanajafi, Cyrus & Jafari Mosleh, Hassan & Nazari, Arash & Nazari, Ashkan, 2020. "Exergy, economic and environmental evaluation of an optimized hybrid photovoltaic-geothermal heat pump system," Applied Energy, Elsevier, vol. 276(C).
    4. Razmi, Amir Reza & Soltani, M. & Ardehali, Armin & Gharali, Kobra & Dusseault, M.B. & Nathwani, Jatin, 2021. "Design, thermodynamic, and wind assessments of a compressed air energy storage (CAES) integrated with two adjacent wind farms: A case study at Abhar and Kahak sites, Iran," Energy, Elsevier, vol. 221(C).
    5. Shakibi, Hamid & Shokri, Afshar & Assareh, Ehsanolah & Yari, Mortaza & Lee, Moonyong, 2023. "Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system," Applied Energy, Elsevier, vol. 333(C).
    6. Malik, Monu & Dincer, Ibrahim & Rosen, Marc A., 2015. "Development and analysis of a new renewable energy-based multi-generation system," Energy, Elsevier, vol. 79(C), pages 90-99.
    7. Song, Jian & Wang, Yaxiong & Wang, Kai & Wang, Jiangfeng & Markides, Christos N., 2021. "Combined supercritical CO2 (SCO2) cycle and organic Rankine cycle (ORC) system for hybrid solar and geothermal power generation: Thermoeconomic assessment of various configurations," Renewable Energy, Elsevier, vol. 174(C), pages 1020-1035.
    8. Alirahmi, Seyed Mojtaba & Razmi, Amir Reza & Arabkoohsar, Ahmad, 2021. "Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    9. Kim, Juwon & Noh, Yeelyong & Chang, Daejun, 2018. "Storage system for distributed-energy generation using liquid air combined with liquefied natural gas," Applied Energy, Elsevier, vol. 212(C), pages 1417-1432.
    10. Mahmoudan, Alireza & Esmaeilion, Farbod & Hoseinzadeh, Siamak & Soltani, Madjid & Ahmadi, Pouria & Rosen, Marc, 2022. "A geothermal and solar-based multigeneration system integrated with a TEG unit: Development, 3E analyses, and multi-objective optimization," Applied Energy, Elsevier, vol. 308(C).
    11. Bamorovat Abadi, Gholamreza & Kim, Kyung Chun, 2017. "Investigation of organic Rankine cycles with zeotropic mixtures as a working fluid: Advantages and issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1000-1013.
    12. Azizi, Saeid & Shakibi, Hamid & Shokri, Afshar & Chitsaz, Ata & Yari, Mortaza, 2023. "Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system," Applied Energy, Elsevier, vol. 332(C).
    13. Yari, Mortaza, 2010. "Exergetic analysis of various types of geothermal power plants," Renewable Energy, Elsevier, vol. 35(1), pages 112-121.
    14. Hekmatshoar, Maziyar & Deymi-Dashtebayaz, Mahdi & Gholizadeh, Mohammad & Dadpour, Daryoush & Delpisheh, Mostafa, 2022. "Thermoeconomic analysis and optimization of a geothermal-driven multi-generation system producing power, freshwater, and hydrogen," Energy, Elsevier, vol. 247(C).
    15. Bianchi, M. & De Pascale, A., 2011. "Bottoming cycles for electric energy generation: Parametric investigation of available and innovative solutions for the exploitation of low and medium temperature heat sources," Applied Energy, Elsevier, vol. 88(5), pages 1500-1509, May.
    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. Hou, Rui & Zhang, Nachuan & Gao, Wei & Chen, Kang & Liu, Lijun & Kumar, M. Saravana, 2023. "Design and optimization of a novel flash-binary-based hybrid system to produce power, cooling, freshwater, and liquid hydrogen," Energy, Elsevier, vol. 280(C).
    2. Zhou, Xiao & Cai, Yangchao & Li, Xuetao, 2024. "Process arrangement and multi-aspect study of a novel environmentally-friendly multigeneration plant relying on a geothermal-based plant combined with the goswami cycle booted by kalina and desalinati," Energy, Elsevier, vol. 299(C).
    3. Chen, Ying & Liu, Yuxuan & Nam, Eun-Young & Zhang, Yang & Dahlak, Aida, 2023. "Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization," Energy, Elsevier, vol. 283(C).
    4. Dou, Zhenhai & Zou, Yunhe & Mohebbi, Amir, 2024. "Design and multi-aspect analysis of a geothermal and biomass dual-source power, cooling, heating, and hybrid freshwater production system," Energy, Elsevier, vol. 293(C).
    5. Gao, Jinling & Zhang, Yong & Li, Xuetao & Zhou, Xiao & J. Kilburn, Zofia, 2024. "Thermodynamic and thermoeconomic analysis and optimization of a renewable-based hybrid system for power, hydrogen, and freshwater production," Energy, Elsevier, vol. 295(C).
    6. Chen, Heng & Alzahrani, Huda A. & Amin, Mohammed A. & Sun, Minghui, 2023. "Towards sustainable development through the design, multi-aspect analyses, and multi-objective optimization of a novel solar-based multi-generation system," Energy, Elsevier, vol. 267(C).
    7. Nemati Mofarrah, Ali & Jalalvand, Meysam & Abdolmaleki, Abbas, 2023. "Design, multi-aspect analyses, and multi-objective optimization of a biomass/geothermal-based cogeneration of power and freshwater," Energy, Elsevier, vol. 282(C).
    8. Cai, Wei & Wen, Xiaodong & Li, Chaoen & Shao, Jingjing & Xu, Jianguo, 2023. "Predicting the energy consumption in buildings using the optimized support vector regression model," Energy, Elsevier, vol. 273(C).
    9. Wang, Shicheng & Liu, Xin & Gu, Xueying & Huang, Xinyu & Li, Yu, 2023. "Analysis and multi-objective optimization of integrating a syngas-fed solid oxide fuel cell improved by a two-stage expander-organic flash cycle using an ejector and a desalination cycle," Energy, Elsevier, vol. 272(C).
    10. Lv, Xuefei & Lv, Ying & Zhu, Yiping, 2023. "Multi-variable study and MOPSO-based multi-objective optimization of a novel cogeneration plant using biomass fuel and geothermal energy: A complementary hybrid design," Energy, Elsevier, vol. 270(C).
    11. Chang, Yue & Jia, Yulong & Hong, Tan, 2023. "Comprehensive analysis and multi-objective optimization of an innovative power generation system using biomass gasification and LNG regasification processes," Energy, Elsevier, vol. 283(C).
    12. Li, Ruiheng & Xu, Dong & Tian, Hao & Zhu, Yiping, 2023. "Multi-objective study and optimization of a solar-boosted geothermal flash cycle integrated into an innovative combined power and desalinated water production process: Application of a case study," Energy, Elsevier, vol. 282(C).
    13. Shakibi, Hamid & Faal, Mehrdad Yousefi & Assareh, Ehsanolah & Agarwal, Neha & Yari, Mortaza & Latifi, Seyed Ali & Ghodrat, Maryam & Lee, Moonyong, 2023. "Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Austr," Energy, Elsevier, vol. 278(C).
    14. Gu, Hongfei & Liu, Jianzi & Zhou, Xingchen & Wu, Qiwei & Liu, Yaodong & Yu, Shuaixian & Qiu, Wenying & Xu, Jianguo, 2023. "Modelling of a novel electricity and methanol co-generation using heat recovery and CO2 capture: Comprehensive thermodynamic, economic, and environmental analyses," Energy, Elsevier, vol. 278(C).
    15. Bai, Hao & Luo, ShiHao & Zhao, Xijie & Zhao, Gen & Gao, Yang, 2022. "Comprehensive assessment of a green cogeneration system based on compressed air energy storage (CAES) and zeotropic mixtures," Energy, Elsevier, vol. 254(PA).
    16. Zhang, Mingming & Timoshin, Anton & Al-Ammar, Essam A. & Sillanpaa, Mika & Zhang, Guiju, 2023. "Power, cooling, freshwater, and hydrogen production system from a new integrated system working with the zeotropic mixture, using a flash-binary geothermal system," Energy, Elsevier, vol. 263(PD).
    17. Yin, Pei & Sardari, Farshid, 2023. "Process arrangement and multi-criteria study/optimization of a novel hybrid solar-geothermal scheme combined with a compressed air energy storage: Application of different MOPSO-based scenarios," Energy, Elsevier, vol. 282(C).
    18. Balali, Adel & Asadabadi, Mohammad Javad Raji & Mehrenjani, Javad Rezazadeh & Gharehghani, Ayat & Moghimi, Mahdi, 2023. "Development and neural network optimization of a renewable-based system for hydrogen production and desalination," Renewable Energy, Elsevier, vol. 218(C).
    19. Zheng, Jiangbo, 2024. "Integrated renewable-based multi-generation system with environmental and economic optimization," Energy, Elsevier, vol. 294(C).
    20. Tian, Hao & Li, Ruiheng & Zhu, Yiping, 2023. "Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization," Energy, Elsevier, vol. 285(C).

    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:285:y:2023:i:c:s0360544223028207. 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.