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Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller

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  • Chen, Yuzhu
  • Xu, Jinzhao
  • Wang, Jun
  • Lund, Peter D.

Abstract

A weather-based energy system consisting of a tri-generation unit, photovoltaics, and water-cooled chiller is proposed here for improving the energy and environmental performance. Together with capacities of other devices, the cooling ratio, and capacities of different types of chiller are optimized to find the ideal system configuration setting the energy and cost savings and renewable energy use as the objectives. In addition, daily and monthly operating modes with the optimal system composition are analyzed followed by a sensitivity analysis. The results show that increasing energy saving ratio improves the cost saving benefits, but the renewable energy penetration rate would decrease due to lower grid electricity consumption. The ideal system configuration in ratio optimization process has a higher gas turbine and chiller capacity resulting in higher performance than the system with capacity optimization process, or 2.7%, 1.6%, and 0.2%-unit higher of the considered indices. When increasing the specific cost of the chiller, cost saving ratio of the ideal system decreases, while the impacts on the energy savings and renewable energy use are lower. The analysis indicates that the price of grid electricity is the most sensitive factor, while the influence of carbon cost is slight.

Suggested Citation

  • Chen, Yuzhu & Xu, Jinzhao & Wang, Jun & Lund, Peter D., 2022. "Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller," Energy, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009975
    DOI: 10.1016/j.energy.2022.124094
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    References listed on IDEAS

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    1. Chen, Yuzhu & Hua, Huilian & Wang, Jun & Lund, Peter D., 2021. "Thermodynamic performance analysis and modified thermo-ecological cost optimization of a hybrid district heating system considering energy levels," Energy, Elsevier, vol. 224(C).
    2. Wang, Jiangjiang & Liu, Yi & Ren, Fukang & Lu, Shuaikang, 2020. "Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility," Energy, Elsevier, vol. 197(C).
    3. Cheung, Howard & Wang, Shengwei, 2019. "Reliability and availability assessment and enhancement of water-cooled multi-chiller cooling systems for data centers," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    4. Chen, Yuzhu & Xu, Jinzhao & Wang, Jun & Lund, Peter D., 2021. "Exergo-environmental cost optimization of a combined cooling, heating and power system using the emergy concept and equivalent emissions as ecological boundary," Energy, Elsevier, vol. 233(C).
    5. Shan, Kui & Wang, Shengwei & Zhuang, Chaoqun, 2021. "Controlling a large constant speed centrifugal chiller to provide grid frequency regulation: A validation based on onsite tests," Applied Energy, Elsevier, vol. 300(C).
    6. 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).
    7. Guo, Jiacheng & Liu, Zhijian & Li, Ying & Wu, Di & Liu, Xuan & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Thermodynamic performance analyses and optimization design method of a novel distributed energy system coupled with hybrid-energy storage," Renewable Energy, Elsevier, vol. 182(C), pages 1182-1200.
    8. Chen, Yuzhu & Hua, Huilian & Wang, Jun & Lund, Peter D., 2021. "Integrated performance analysis of a space heating system assisted by photovoltaic/thermal collectors and ground source heat pump for hotel and office building types," Renewable Energy, Elsevier, vol. 169(C), pages 925-934.
    9. Chen, Yuzhu & Xu, Jinzhao & Zhao, Dandan & Wang, Jun & Lund, Peter D., 2021. "Exergo-economic assessment and sensitivity analysis of a solar-driven combined cooling, heating and power system with organic Rankine cycle and absorption heat pump," Energy, Elsevier, vol. 230(C).
    10. Chen, Yuzhu & Hu, Xiaojian & Xu, Wentao & Xu, Qiliang & Wang, Jun & Lund, Peter D., 2022. "Multi-objective optimization of a solar-driven trigeneration system considering power-to-heat storage and carbon tax," Energy, Elsevier, vol. 250(C).
    11. Tigas, K. & Giannakidis, G. & Mantzaris, J. & Lalas, D. & Sakellaridis, N. & Nakos, C. & Vougiouklakis, Y. & Theofilidi, M. & Pyrgioti, E. & Alexandridis, A.T., 2015. "Wide scale penetration of renewable electricity in the Greek energy system in view of the European decarbonization targets for 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 158-169.
    12. 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).
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    Cited by:

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    2. Chen, Yuzhu & Guo, Weimin & Zhang, Tianhu & Lund, Peter D. & Wang, Jun & Yang, Kun, 2024. "Carbon and economic prices optimization of a solar-gas coupling energy system with a modified non-dominated sorting genetic algorithm considering operating sequences of water-cooled chillers," Energy, Elsevier, vol. 301(C).
    3. Alrobaian, Abdulrahman A., 2023. "Impact of optimal sizing and integration of thermal energy storage in solar assisted energy systems," Renewable Energy, Elsevier, vol. 211(C), pages 761-771.

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