IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipbs0360544221023331.html
   My bibliography  Save this article

A novel off-design model to optimize combined cooling, heating and power system with hybrid chillers for different operation strategies

Author

Listed:
  • Deng, Yan
  • Zeng, Rong
  • Liu, Yicai

Abstract

A combined cooling, heating and power system with hybrid chillers is designed, which mainly includes power generation unit, ground source heat pump system, boiler, absorption chiller, electric chiller and heating exchanger. In order to better reflect the actual operation of the system, the main devices of system are considered as off-design models. A novel parameter named start factor of off-design devices is proposed to improve devices efficiency. Under following electric load and following thermal load operating strategies, the optimal capacity and comprehensive performance of the system devices are obtained. By different off-design models, seven system models are built to analysis under two operating strategies. Moth flame optimization is selected as the optimization method to get model results. The results show that most start-factor system models can improve the system performance. Under the following electric load operating strategy, the typical start-factor model is compared with the traditional model (the energy saving: 8.25%; the cost saving: 7.47%; the carbon dioxide emission reduction: 7.22%). Under the following thermal load operating strategies operating strategy, the typical start-factor model is compared with the traditional model (the energy saving: 23.10%; the cost saving: 22.33%; the carbon dioxide emission reduction: 22.80%).

Suggested Citation

  • Deng, Yan & Zeng, Rong & Liu, Yicai, 2022. "A novel off-design model to optimize combined cooling, heating and power system with hybrid chillers for different operation strategies," Energy, Elsevier, vol. 239(PB).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221023331
    DOI: 10.1016/j.energy.2021.122085
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221023331
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122085?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. Cui, Qiong & Ma, Peipei & Huang, Lei & Shu, Jie & Luv, Jie & Lu, Lin, 2020. "Effect of device models on the multiobjective optimal operation of CCHP microgrids considering shiftable loads," Applied Energy, Elsevier, vol. 275(C).
    2. Fathy, Ahmed & Rezk, Hegazy & Mohamed Ramadan, Haitham Saad, 2020. "Recent moth-flame optimizer for enhanced solid oxide fuel cell output power via optimal parameters extraction process," Energy, Elsevier, vol. 207(C).
    3. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    4. 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.
    5. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    6. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    7. Ma, Weiwu & Fang, Song & Liu, Gang, 2017. "Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump," Energy, Elsevier, vol. 141(C), pages 1439-1455.
    8. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    9. Lorestani, A. & Ardehali, M.M., 2018. "Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm," Energy, Elsevier, vol. 145(C), pages 839-855.
    10. Yang, G. & Zhai, X.Q., 2019. "Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition," Energy, Elsevier, vol. 174(C), pages 647-663.
    11. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    12. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    13. Huang, Zhifeng & Yang, Cheng & Yang, Haixia & Ma, Xiaoqian, 2018. "Off-design heating/power flexibility for steam injected gas turbine based CCHP considering variable geometry operation," Energy, Elsevier, vol. 165(PA), pages 1048-1060.
    14. Chen, Jialing & Li, Xian & Dai, Yanjun & Wang, Chi-Hwa, 2021. "Energetic, economic, and environmental assessment of a Stirling engine based gasification CCHP system," Applied Energy, Elsevier, vol. 281(C).
    15. Deng, Yan & Liu, Yicai & Zeng, Rong & Wang, Qianxu & Li, Zheng & Zhang, Yu & Liang, Heng, 2021. "A novel operation strategy based on black hole algorithm to optimize combined cooling, heating, and power-ground source heat pump system," Energy, Elsevier, vol. 229(C).
    16. Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, Shengdong & Bai, Zhang & Li, Qi & Yuan, Yu & Wang, Shuoshuo, 2024. "Potential of applying the thermochemical recuperation in combined cooling, heating and power generation: Optimized recuperation regulation with syngas storage," Applied Energy, Elsevier, vol. 353(PB).
    2. Baohong Jin & Zhichao Liu & Yichuan Liao, 2023. "Exploring the Impact of Regional Integrated Energy Systems Performance by Energy Storage Devices Based on a Bi-Level Dynamic Optimization Model," Energies, MDPI, vol. 16(6), pages 1-21, March.
    3. Jelena Tihana & Hesham Ali & Jekaterina Apse & Janis Jekabsons & Dmitrijs Ivancovs & Baiba Gaujena & Andrei Dedov, 2023. "Hybrid Heat Pump Performance Evaluation in Different Operation Modes for Single-Family House," Energies, MDPI, vol. 16(20), pages 1-17, October.
    4. Zhu, Peng & Zheng, J.H. & Li, Zhigang & Wu, Q.H. & Wang, Lixiao, 2024. "Optimal operation for district cooling systems coupled with ice storage units based on the per-unit value form," Energy, Elsevier, vol. 302(C).

    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. Jie, Pengfei & Li, Zhe & Ren, Yanli & Wei, Fengjun, 2023. "Economy-energy-environment optimization of biomass gasification CCHP system integrated with ground source heat pump," Energy, Elsevier, vol. 277(C).
    2. Chen, W.D. & Shao, Y.L. & Bui, D.T. & Huang, Z.F. & Chua, K.J., 2024. "Development of novel optimal operating maps for combined cooling, heating, and power systems," Applied Energy, Elsevier, vol. 358(C).
    3. Ren, Fukang & Lin, Xiaozhen & Wei, Ziqing & Zhai, Xiaoqiang & Yang, Jianrong, 2022. "A novel planning method for design and dispatch of hybrid energy systems," Applied Energy, Elsevier, vol. 321(C).
    4. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2018. "Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems," Applied Energy, Elsevier, vol. 220(C), pages 735-753.
    5. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    6. Jin, Baohong, 2023. "Impact of renewable energy penetration in power systems on the optimization and operation of regional distributed energy systems," Energy, Elsevier, vol. 273(C).
    7. 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.
    8. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    9. Ren, Xin-Yu & Li, Ling-Ling & Ji, Bing-Xiang & Liu, Jia-Qi, 2024. "Design and analysis of solar hybrid combined cooling, heating and power system: A bi-level optimization model," Energy, Elsevier, vol. 292(C).
    10. Deng, Yan & Liu, Yicai & Zeng, Rong & Wang, Qianxu & Li, Zheng & Zhang, Yu & Liang, Heng, 2021. "A novel operation strategy based on black hole algorithm to optimize combined cooling, heating, and power-ground source heat pump system," Energy, Elsevier, vol. 229(C).
    11. Kang, Ligai & Wu, Xiaojing & Yuan, Xiaoxue & Ma, Kunru & Wang, Yongzhen & Zhao, Jun & An, Qingsong, 2021. "Influence analysis of energy policies on comprehensive performance of CCHP system in different buildings," Energy, Elsevier, vol. 233(C).
    12. 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.
    13. Ahn, Hyeunguk & Rim, Donghyun & Freihaut, James D., 2018. "Performance assessment of hybrid chiller systems for combined cooling, heating and power production," Applied Energy, Elsevier, vol. 225(C), pages 501-512.
    14. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    15. Lingmin, Chen & Jiekang, Wu & Fan, Wu & Huiling, Tang & Changjie, Li & Yan, Xiong, 2020. "Energy flow optimization method for multi-energy system oriented to combined cooling, heating and power," Energy, Elsevier, vol. 211(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. Kang, Ligai & Yuan, Xiaoxue & Sun, Kangjie & Zhang, Xu & Zhao, Jun & Deng, Shuai & Liu, Wei & Wang, Yongzhen, 2022. "Feed-forward active operation optimization for CCHP system considering thermal load forecasting," Energy, Elsevier, vol. 254(PB).
    18. Gu, Wei & Lu, Shuai & Wu, Zhi & Zhang, Xuesong & Zhou, Jinhui & Zhao, Bo & Wang, Jun, 2017. "Residential CCHP microgrid with load aggregator: Operation mode, pricing strategy, and optimal dispatch," Applied Energy, Elsevier, vol. 205(C), pages 173-186.
    19. Wang, Jiangjiang & Xie, Xinqi & Lu, Yanchao & Liu, Boxiang & Li, Xiaojing, 2018. "Thermodynamic performance analysis and comparison of a combined cooling heating and power system integrated with two types of thermal energy storage," Applied Energy, Elsevier, vol. 219(C), pages 114-122.
    20. Bai, Zhang & Liu, Taixiu & Liu, Qibin & Lei, Jing & Gong, Liang & Jin, Hongguang, 2018. "Performance investigation of a new cooling, heating and power system with methanol decomposition based chemical recuperation process," Applied Energy, Elsevier, vol. 229(C), pages 1152-1163.

    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:239:y:2022:i:pb:s0360544221023331. 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.