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Optimization of a Hybrid Energy System with District Heating and Cooling Considering Off-Design Characteristics of Components, an Effort on Optimal Compressed Air Energy Storage Integration

Author

Listed:
  • Shang Chen

    (Technology Center, Shanghai Electric Power Transmission & Distribution Group Co., Ltd., Shanghai 200060, China)

  • Ahmad Arabkoohsar

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Guodong Chen

    (Technology Center, Shanghai Electric Power Transmission & Distribution Group Co., Ltd., Shanghai 200060, China)

  • Mads Pagh Nielsen

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

In this work, the optimal design of a hybrid energy complex, including wind turbines, an internal combustion engine, and an adiabatic compressed air energy storage system is investigated. A novel bi-level optimization strategy is proposed for optimizing the capacity and operational power of each component of the system based on techno-economic considerations. The article presents information and discussions about the impacts of the partial-load operation of the energy storage system components on the optimal rated power and working strategies. The off-design characteristics are proven to have a huge negative impact on the efficiency and economy of the hybrid system. The efficiency reduction of the compressed air energy storage system is about 21% in summer and 8.9% in winter, when the system is operating in partial-load conditions. The operation cost of the system is reduced significantly when carrying out the proposed bi-level optimization strategy.

Suggested Citation

  • Shang Chen & Ahmad Arabkoohsar & Guodong Chen & Mads Pagh Nielsen, 2022. "Optimization of a Hybrid Energy System with District Heating and Cooling Considering Off-Design Characteristics of Components, an Effort on Optimal Compressed Air Energy Storage Integration," Energies, MDPI, vol. 15(13), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4634-:d:846999
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    References listed on IDEAS

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    1. Wang, Kexin & Chen, Shang & Liu, Liuchen & Zhu, Tong & Gan, Zhongxue, 2018. "Enhancement of renewable energy penetration through energy storage technologies in a CHP-based energy system for Chongming, China," Energy, Elsevier, vol. 162(C), pages 988-1002.
    2. Li, Yaowang & Miao, Shihong & Luo, Xing & Yin, Binxin & Han, Ji & Wang, Jihong, 2020. "Dynamic modelling and techno-economic analysis of adiabatic compressed air energy storage for emergency back-up power in supporting microgrid," Applied Energy, Elsevier, vol. 261(C).
    3. Rouindej, Kamyar & Samadani, Ehsan & Fraser, Roydon A., 2020. "A comprehensive data-driven study of electrical power grid and its implications for the design, performance, and operational requirements of adiabatic compressed air energy storage systems," Applied Energy, Elsevier, vol. 257(C).
    4. Chen, Shang & Arabkoohsar, Ahmad & Zhu, Tong & Nielsen, Mads Pagh, 2020. "Development of a micro-compressed air energy storage system model based on experiments," Energy, Elsevier, vol. 197(C).
    5. Arabkoohsar, A. & Machado, L. & Farzaneh-Gord, M. & Koury, R.N.N., 2015. "The first and second law analysis of a grid connected photovoltaic plant equipped with a compressed air energy storage unit," Energy, Elsevier, vol. 87(C), pages 520-539.
    6. Arabkoohsar, A. & Ismail, K.A.R. & Machado, L. & Koury, R.N.N., 2016. "Energy consumption minimization in an innovative hybrid power production station by employing PV and evacuated tube collector solar thermal systems," Renewable Energy, Elsevier, vol. 93(C), pages 424-441.
    7. Yan, Yi & Zhang, Chenghui & Li, Ke & Wang, Zhen, 2018. "An integrated design for hybrid combined cooling, heating and power system with compressed air energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1151-1166.
    8. Ibrahim, H. & Younès, R. & Ilinca, A. & Dimitrova, M. & Perron, J., 2010. "Study and design of a hybrid wind-diesel-compressed air energy storage system for remote areas," Applied Energy, Elsevier, vol. 87(5), pages 1749-1762, May.
    9. Zhao, Pan & Gao, Lin & Wang, Jiangfeng & Dai, Yiping, 2016. "Energy efficiency analysis and off-design analysis of two different discharge modes for compressed air energy storage system using axial turbines," Renewable Energy, Elsevier, vol. 85(C), pages 1164-1177.
    10. Zhang, Xinjing & Chen, Haisheng & Xu, Yujie & Li, Wen & He, Fengjuan & Guo, Huan & Huang, Ye, 2017. "Distributed generation with energy storage systems: A case study," Applied Energy, Elsevier, vol. 204(C), pages 1251-1263.
    11. Luo, Xing & Wang, Jihong & Krupke, Christopher & Wang, Yue & Sheng, Yong & Li, Jian & Xu, Yujie & Wang, Dan & Miao, Shihong & Chen, Haisheng, 2016. "Modelling study, efficiency analysis and optimisation of large-scale Adiabatic Compressed Air Energy Storage systems with low-temperature thermal storage," Applied Energy, Elsevier, vol. 162(C), pages 589-600.
    12. Arabkoohsar, Ahmad & Rahrabi, Hamid Reza & Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A., 2020. "Impact of Off-design operation on the effectiveness of a low-temperature compressed air energy storage system," Energy, Elsevier, vol. 197(C).
    13. Zhao, Pan & Wang, Mingkun & Wang, Jiangfeng & Dai, Yiping, 2015. "A preliminary dynamic behaviors analysis of a hybrid energy storage system based on adiabatic compressed air energy storage and flywheel energy storage system for wind power application," Energy, Elsevier, vol. 84(C), pages 825-839.
    14. Hartmann, Niklas & Vöhringer, O. & Kruck, C. & Eltrop, L., 2012. "Simulation and analysis of different adiabatic Compressed Air Energy Storage plant configurations," Applied Energy, Elsevier, vol. 93(C), pages 541-548.
    15. Zhao, Pan & Dai, Yiping & Wang, Jiangfeng, 2014. "Design and thermodynamic analysis of a hybrid energy storage system based on A-CAES (adiabatic compressed air energy storage) and FESS (flywheel energy storage system) for wind power application," Energy, Elsevier, vol. 70(C), pages 674-684.
    16. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    17. He, Yang & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2018. "Compression performance optimization considering variable charge pressure in an adiabatic compressed air energy storage system," Energy, Elsevier, vol. 165(PB), pages 349-359.
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    Cited by:

    1. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    2. Asmita Ajay Rathod & Balaji Subramanian, 2022. "Scrutiny of Hybrid Renewable Energy Systems for Control, Power Management, Optimization and Sizing: Challenges and Future Possibilities," Sustainability, MDPI, vol. 14(24), pages 1-35, December.

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