IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v314y2025ics036054422403929x.html
   My bibliography  Save this article

Investigation on part-load operation characteristics and adaptability of the GT-CO2 composited multi-generation system for distributed applications

Author

Listed:
  • Zhang, Yonghao
  • Shi, Lingfeng
  • Yao, Yu
  • He, Jintao
  • Tian, Hua
  • Shu, Gequn

Abstract

The distributed energy system encounters severe challenge on frequent adjustment on cooling and electricity load. In this study, an instructive GT-CO2 composited multi-generation system that composed of GT and bottoming CO2-based cogeneration system is proposed to improve the energy efficiency and adaptability oriented toward diversified electricity and cooling demand in distributed applications. An evaluation framework based on both design and off-design conditions is developed to investigate the operating characteristics, available operating strategies, and flexible regulation range of the composited system under global operation conditions. The proposed system demonstrates satisfactory performance on both energy efficiency and operating flexibility. In the design condition, the primary energy saving ratio is 23.5 %, which is 8.0 % higher than traditional distributed scheme with GT and absorption chiller. Besides, the efficient operation conditions can be enhanced from 30.3 % to 63.6 % and 83.8 % for the composited system with turbine inlet temperature control and inlet air throttling control strategy respectively under full operation conditions. Broader feasible regulation range with higher efficiency for electricity and cooling outputs is also found in the composited system, proving the promising potential in scenarios with diversified energy demands.

Suggested Citation

  • Zhang, Yonghao & Shi, Lingfeng & Yao, Yu & He, Jintao & Tian, Hua & Shu, Gequn, 2025. "Investigation on part-load operation characteristics and adaptability of the GT-CO2 composited multi-generation system for distributed applications," Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:energy:v:314:y:2025:i:c:s036054422403929x
    DOI: 10.1016/j.energy.2024.134151
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422403929X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.134151?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. Yin, Jiqiang & Yu, Zeting & Zhang, Chenghui & Tian, Minli & Han, Jitian, 2018. "Thermodynamic analysis of a novel combined cooling and power system driven by low-grade heat sources," Energy, Elsevier, vol. 156(C), pages 319-327.
    2. Han, Wei & Chen, Qiang & Sun, Liuli & Ma, Sijun & Zhao, Ting & Zheng, Danxing & Jin, Hongguang, 2014. "Experimental studies on a combined refrigeration/power generation system activated by low-grade heat," Energy, Elsevier, vol. 74(C), pages 59-66.
    3. Zhao, Dongpeng & Han, Changho & Cho, Wonhee & Zhao, Li & Kim, Yongchan, 2022. "Directly combining a power cycle and refrigeration cycle: Method and case study," Energy, Elsevier, vol. 259(C).
    4. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.
    5. Pili, Roberto & Romagnoli, Alessandro & Jiménez-Arreola, Manuel & Spliethoff, Hartmut & Wieland, Christoph, 2019. "Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance," Energy, Elsevier, vol. 167(C), pages 619-640.
    6. Szargut, Jan, 1989. "Chemical exergies of the elements," Applied Energy, Elsevier, vol. 32(4), pages 269-286.
    7. Kumar, G. Praveen & Saravanan, R. & Coronas, Alberto, 2017. "Experimental studies on combined cooling and power system driven by low-grade heat sources," Energy, Elsevier, vol. 128(C), pages 801-812.
    8. Han, Wei & Chen, Qiang & Lin, Ru-mou & Jin, Hong-guang, 2015. "Assessment of off-design performance of a small-scale combined cooling and power system using an alternative operating strategy for gas turbine," Applied Energy, Elsevier, vol. 138(C), pages 160-168.
    9. Grauberger, Alex & Young, Derek & Bandhauer, Todd, 2022. "Experimental validation of an organic rankine-vapor compression cooling cycle using low GWP refrigerant R1234ze(E)," Applied Energy, Elsevier, vol. 307(C).
    10. Hu, Yuankang & Deng, Zeyu & Yang, Jiaming & Hu, Yilun & Zhong, Kaifeng & Xie, Yubao & Ou, Zhihua & Guo, Shuting & Li, Xiaoning, 2024. "Performance analysis of a novel multimode electricity-cooling cogeneration system (ECCS) driven by exhaust from a marine engine," Energy, Elsevier, vol. 300(C).
    11. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    12. Yu, Aofang & Xing, Lingli & Su, Wen & Liu, Pei, 2023. "State-of-the-art review on the CO2 combined power and cooling system: System configuration, modeling and performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    13. Xia, Jiaxi & Wang, Jiangfeng & Zhou, Kehan & Zhao, Pan & Dai, Yiping, 2018. "Thermodynamic and economic analysis and multi-objective optimization of a novel transcritical CO2 Rankine cycle with an ejector driven by low grade heat source," Energy, Elsevier, vol. 161(C), pages 337-351.
    14. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    15. He, Jintao & Zhang, Yonghao & Tian, Hua & Wang, Xuan & Li, Ligeng & Cai, Jinwen & Shi, Lingfeng & Shu, Gequn, 2022. "Dynamic performance of a multi-mode operation CO2-based system combining cooling and power generation," Applied Energy, Elsevier, vol. 312(C).
    16. Ahn, Hyeunguk & Freihaut, James D. & Rim, Donghyun, 2019. "Economic feasibility of combined cooling, heating, and power (CCHP) systems considering electricity standby tariffs," Energy, Elsevier, vol. 169(C), pages 420-432.
    17. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    18. He, Jintao & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Zhang, Yonghao & Zhang, Meiyan & Yao, Yu & Cai, Jinwen & Shu, Gequn, 2022. "Control strategy for a CO2-based combined cooling and power generation system based on heat source and cold sink fluctuations," Energy, Elsevier, vol. 257(C).
    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. Lu, Bowen & Zhang, Zhifu & Cai, Jinwen & Wang, Wei & Ju, Xueming & Xu, Yao & Lu, Xun & Tian, Hua & Shi, Lingfeng & Shu, Gequn, 2023. "Integrating engine thermal management into waste heat recovery under steady-state design and dynamic off-design conditions," Energy, Elsevier, vol. 272(C).
    2. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    3. He, Jintao & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Sun, Xiaocun & Zhang, Meiyan & Yao, Yu & Shu, Gequn, 2023. "Applying artificial neural network to approximate and predict the transient dynamic behavior of CO2 combined cooling and power cycle," Energy, Elsevier, vol. 285(C).
    4. Wang, Xuan & Shu, Gequn & Tian, Hua & Wang, Rui & Cai, Jinwen, 2020. "Dynamic performance comparison of different cascade waste heat recovery systems for internal combustion engine in combined cooling, heating and power," Applied Energy, Elsevier, vol. 260(C).
    5. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.
    6. Yang, Cheng & Huang, Zhifeng & Ma, Xiaoqian, 2018. "Comparative study on off-design characteristics of CHP based on GTCC under alternative operating strategy for gas turbine," Energy, Elsevier, vol. 145(C), pages 823-838.
    7. Zhang, Na & Wang, Zefeng & Lior, Noam & Han, Wei, 2018. "Advancement of distributed energy methods by a novel high efficiency solar-assisted combined cooling, heating and power system," Applied Energy, Elsevier, vol. 219(C), pages 179-186.
    8. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    9. Zhang, Yin & Wang, Xin & Zhang, Yinping & Zhuo, Siwen, 2016. "A simplified model to study the location impact of latent thermal energy storage in building cooling heating and power system," Energy, Elsevier, vol. 114(C), pages 885-894.
    10. Chen, W.D. & Chua, K.J., 2022. "A novel and optimized operation strategy map for CCHP systems considering optimal thermal energy utilization," Energy, Elsevier, vol. 259(C).
    11. Wegener, Moritz & Malmquist, Anders & Isalgué, Antonio & Martin, Andrew, 2018. "Biomass-fired combined cooling, heating and power for small scale applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 392-410.
    12. Xiao Gong & Fan Li & Bo Sun & Dong Liu, 2020. "Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads," Energies, MDPI, vol. 13(4), pages 1-17, February.
    13. Ruan, Yingjun & Liu, Qingrong & Li, Zhengwei & Wu, Jiazheng, 2016. "Optimization and analysis of Building Combined Cooling, Heating and Power (BCHP) plants with chilled ice thermal storage system," Applied Energy, Elsevier, vol. 179(C), pages 738-754.
    14. Li, Fan & Sun, Bo & Zhang, Chenghui & Liu, Che, 2019. "A hybrid optimization-based scheduling strategy for combined cooling, heating, and power system with thermal energy storage," Energy, Elsevier, vol. 188(C).
    15. Wang, Xuan & Shu, Gequn & Tian, Hua & Wang, Rui & Cai, Jinwen, 2020. "Operation performance comparison of CCHP systems with cascade waste heat recovery systems by simulation and operation optimisation," Energy, Elsevier, vol. 206(C).
    16. Li, Fan & Sun, Bo & Zhang, Chenghui & Zhang, Lizhi, 2018. "Operation optimization for combined cooling, heating, and power system with condensation heat recovery," Applied Energy, Elsevier, vol. 230(C), pages 305-316.
    17. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    18. Yang, Yiping & Huang, Yulei & Jiang, Peixue & Zhu, Yinhai, 2020. "Multi-objective optimization of combined cooling, heating, and power systems with supercritical CO2 recompression Brayton cycle," Applied Energy, Elsevier, vol. 271(C).
    19. Zhang, Zhixiang & Yuan, Han & Mei, Ning, 2023. "Theoretical analysis on extraction-ejection combined power and refrigeration cycle for ocean thermal energy conversion," Energy, Elsevier, vol. 273(C).
    20. J. Villarroel-Schneider & Anders Malmquist & Joseph A. Araoz & J. Martí-Herrero & Andrew Martin, 2019. "Performance Analysis of a Small-Scale Biogas-Based Trigeneration Plant: An Absorption Refrigeration System Integrated to an Externally Fired Microturbine," Energies, MDPI, vol. 12(20), pages 1-30, October.

    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:314:y:2025:i:c:s036054422403929x. 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.