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Comparative study for four technologies on flexibility improvement and renewable energy accommodation of combined heat and power system

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  • Yan, Rujing
  • Wang, Jiangjiang
  • Huo, Shuojie
  • Zhang, Jing
  • Tang, Saiqiu
  • Yang, Mei

Abstract

Insufficient flexibility of the combined heat and power (CHP) system brought by its inherent heat-electricity coupling limitation reduces its renewable energy consumption capacity. Accordingly, this paper integrates four technologies, including the electric boiler, heating energy storage, electrical energy storage and bypass compensation technology, into the CHP system for more flexibility. The flexibility improvement indicator and the operational model for the integrated CHP systems are developed from the feasible operation region perspectives. Besides, an operational optimization considering the punishment for renewable energy curtailment and load shedding is proposed to evaluate performance improvement quantitatively. Combined with the energy efficiency distribution within the feasible operation region, the operating performance promotion contributed by the technology integration is analyzed using a 350 MW CHP system. The results show that integrating the bypass compensation technology can increase the maximum heat-electricity ratio by 160.3% and the electricity adjustment capacity under the heating load of 375 MW by 90.95%in the same flexibility improvement rate. Besides, the electric boiler and bypass compassion technology effectively reduce total coal consumption due to their effectiveness in improving renewable energy consumption and the high energy efficiency distribution within the newly added feasible operation region. However, they hardly handle the load shedding. Inversely, the electrical and heating energy storage systems can address the load shedding but improve weakly renewable energy accommodation under a high renewable penetration rate.

Suggested Citation

  • Yan, Rujing & Wang, Jiangjiang & Huo, Shuojie & Zhang, Jing & Tang, Saiqiu & Yang, Mei, 2023. "Comparative study for four technologies on flexibility improvement and renewable energy accommodation of combined heat and power system," Energy, Elsevier, vol. 263(PE).
  • Handle: RePEc:eee:energy:v:263:y:2023:i:pe:s0360544222029425
    DOI: 10.1016/j.energy.2022.126056
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    References listed on IDEAS

    as
    1. Ding, Zeyu & Hou, Hongjuan & Duan, Liqiang & Huang, Chang & Hu, Eric & Yu, Gang & Zhang, Yumeng & Zhang, Nan, 2021. "Simulation study on a novel solar aided combined heat and power system for heat-power decoupling," Energy, Elsevier, vol. 220(C).
    2. Chen, Xi & Wang, Chengfu & Wu, Qiuwei & Dong, Xiaoming & Yang, Ming & He, Suoying & Liang, Jun, 2020. "Optimal operation of integrated energy system considering dynamic heat-gas characteristics and uncertain wind power," Energy, Elsevier, vol. 198(C).
    3. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    4. Li, Dacheng & Guo, Songshan & He, Wei & King, Marcus & Wang, Jihong, 2021. "Combined capacity and operation optimisation of lithium-ion battery energy storage working with a combined heat and power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    5. Ji, Ling & Liang, Xiaolin & Xie, Yulei & Huang, Guohe & Wang, Bing, 2021. "Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages," Energy, Elsevier, vol. 225(C).
    6. Takeshita, Takuma & Aki, Hirohisa & Kawajiri, Kotaro & Ishida, Masayoshi, 2021. "Assessment of utilization of combined heat and power systems to provide grid flexibility alongside variable renewable energy systems," Energy, Elsevier, vol. 214(C).
    7. Rongxiang Yuan & Jun Ye & Jiazhi Lei & Timing Li, 2016. "Integrated Combined Heat and Power System Dispatch Considering Electrical and Thermal Energy Storage," Energies, MDPI, vol. 9(6), pages 1-17, June.
    8. Wang, Jiangjiang & Han, Zepeng & Guan, Zhimin, 2020. "Hybrid solar-assisted combined cooling, heating, and power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    9. Bloess, Andreas, 2020. "Modeling of combined heat and power generation in the context of increasing renewable energy penetration," Applied Energy, Elsevier, vol. 267(C).
    10. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    11. Wolf-Peter Schill & Michael Pahle & Christian Gambardella, 2017. "Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation," Nature Energy, Nature, vol. 2(6), pages 1-6, June.
    12. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 212, pages 1611-1626.
    13. Kopiske, Jakob & Spieker, Sebastian & Tsatsaronis, George, 2017. "Value of power plant flexibility in power systems with high shares of variable renewables: A scenario outlook for Germany 2035," Energy, Elsevier, vol. 137(C), pages 823-833.
    14. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2016. "Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow," Applied Energy, Elsevier, vol. 167(C), pages 230-243.
    15. Koch, Katharina & Höfner, Peter & Gaderer, Matthias, 2020. "Techno-economic system comparison of a wood gas and a natural gas CHP plant in flexible district heating with a dynamic simulation model," Energy, Elsevier, vol. 202(C).
    16. Wu, Chenyu & Gu, Wei & Xu, Yinliang & Jiang, Ping & Lu, Shuai & Zhao, Bo, 2018. "Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers," Applied Energy, Elsevier, vol. 232(C), pages 607-616.
    17. Wang, Jiangjiang & Lu, Zherui & Li, Meng & Lior, Noam & Li, Weihua, 2019. "Energy, exergy, exergoeconomic and environmental (4E) analysis of a distributed generation solar-assisted CCHP (combined cooling, heating and power) gas turbine system," Energy, Elsevier, vol. 175(C), pages 1246-1258.
    18. Zhang, Yuning & Tang, Ningning & Niu, Yuguang & Du, Xiaoze, 2016. "Wind energy rejection in China: Current status, reasons and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 322-344.
    19. Beiron, Johanna & Montañés, Rubén M. & Normann, Fredrik & Johnsson, Filip, 2020. "Flexible operation of a combined cycle cogeneration plant – A techno-economic assessment," Applied Energy, Elsevier, vol. 278(C).
    20. Lorestani, A. & Ardehali, M.M., 2018. "Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm," Renewable Energy, Elsevier, vol. 119(C), pages 490-503.
    21. Liu, Ming & Wang, Shan & Yan, Junjie, 2021. "Operation scheduling of a coal-fired CHP station integrated with power-to-heat devices with detail CHP unit models by particle swarm optimization algorithm," Energy, Elsevier, vol. 214(C).
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    Cited by:

    1. Yanjuan Yu & Guohua Zhou & Kena Wu & Cheng Chen & Qiang Bian, 2023. "Optimal Configuration of Power-to-Heat Equipment Considering Peak-Shaving Ancillary Service Market," Energies, MDPI, vol. 16(19), pages 1-18, September.
    2. Wang, Jian & Ilea, Valentin & Bovo, Cristian & Xie, Ning & Wang, Yong, 2023. "Optimal self-scheduling for a multi-energy virtual power plant providing energy and reserve services under a holistic market framework," Energy, Elsevier, vol. 278(PB).
    3. Wu, Mou & Yan, Rujing & Zhang, Jing & Fan, Junqiu & Wang, Jiangjiang & Bai, Zhang & He, Yu & Cao, Guoqiang & Hu, Keling, 2024. "An enhanced stochastic optimization for more flexibility on integrated energy system with flexible loads and a high penetration level of renewables," Renewable Energy, Elsevier, vol. 227(C).
    4. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Huang, Congzhi, 2024. "A hierarchical reinforcement learning GPC for flexible operation of ultra-supercritical unit considering economy," Energy, Elsevier, vol. 289(C).

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