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A highly efficient, low-carbon CCHP system and its comprehensive optimization for an integrated medical and nursing complex

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  • Zhu, Xiaoxuan
  • Wang, Peng
  • Zhang, Hui
  • Wang, Shiqiang
  • Xv, Shuaiquan
  • Liu, Hailong
  • Zhang, Yihua
  • Zhao, Dong
  • Han, Jitian

Abstract

As the global population ages, the demands imposed by medical treatment and care for the elderly are becoming increasingly pressing. To reduce energy consumption and systemic defects in the process of integrating medical treatment and care for the elderly, the authors of this study designed a highly efficient, flexible and low-carbon combined cooling, heating, and power (CCHP) system for the integration of medical and nursing complexes by using a multi-level model of optimization. The complex was modeled in DeST software to obtain the cooling and heating loads, and the general algebraic modeling system software and mixed-integer linear programming (MILP) were used for the collaborative optimization of the choice of equipment, capacity allocation, and operational strategy. The results showed that the proposed system could reduce the total consumption of electric power by 40.95 % when a semiconductor wall was installed on floors 8–12 of the complex for elderly care. The energy management strategy of the system was also optimized by using the vehicle-to-building subsystem in a novel wind–solar–storage and heat pump-based combined cooling, heating, and power system. The rates of reduction in emissions of CO2 and NOx, and the rate of reduction in primary energy consumption of the Wind–Solar–Storage and Heat Pump (WSSH)–CCHP system were 96.5 %, 99.1 %, and 95.6 %, respectively. Finally, the heat pump-assisted liquid-gap membrane distillation (HP-LGMD) subsystem were optimized in MATLAB. The resulting gained output ratio, flux, thermal efficiency of the system, and energy consumed for water production were 0.0269, 4.22 kg/m2, 17.07 %, and 46.88 %, respectively. The proposed system is highly energy efficient, is capable of economical scheduling, and can use energy cascading, which provides guidance on sustainable development of environment and energy.

Suggested Citation

  • Zhu, Xiaoxuan & Wang, Peng & Zhang, Hui & Wang, Shiqiang & Xv, Shuaiquan & Liu, Hailong & Zhang, Yihua & Zhao, Dong & Han, Jitian, 2024. "A highly efficient, low-carbon CCHP system and its comprehensive optimization for an integrated medical and nursing complex," Renewable Energy, Elsevier, vol. 227(C).
  • Handle: RePEc:eee:renene:v:227:y:2024:i:c:s0960148124006037
    DOI: 10.1016/j.renene.2024.120538
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    References listed on IDEAS

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    1. Grol, Sietske & Molleman, Gerard & van Heumen, Nanne & Muijsenbergh, Maria van den & Scherpbier-de Haan, Nynke & Schers, Henk, 2021. "General practitioners’ views on the influence of long-term care reforms on integrated elderly care in the Netherlands: a qualitative interview study," Health Policy, Elsevier, vol. 125(7), pages 930-940.
    2. Ge, Yi & Han, Jitian & Ma, Qingzhao & Feng, Jiahui, 2022. "Optimal configuration and operation analysis of solar-assisted natural gas distributed energy system with energy storage," Energy, Elsevier, vol. 246(C).
    3. Quddus, Md Abdul & Shahvari, Omid & Marufuzzaman, Mohammad & Usher, John M. & Jaradat, Raed, 2018. "A collaborative energy sharing optimization model among electric vehicle charging stations, commercial buildings, and power grid," Applied Energy, Elsevier, vol. 229(C), pages 841-857.
    4. Stanek, Wojciech & Gazda, Wiesław & Kostowski, Wojciech, 2015. "Thermo-ecological assessment of CCHP (combined cold-heat-and-power) plant supported with renewable energy," Energy, Elsevier, vol. 92(P3), pages 279-289.
    5. Ma, Zherui & Dong, Fuxiang & Wang, Jiangjiang & Zhou, Yuan & Feng, Yingsong, 2023. "Optimal design of a novel hybrid renewable energy CCHP system considering long and short-term benefits," Renewable Energy, Elsevier, vol. 206(C), pages 72-85.
    6. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Yu, Jinghua & Xu, Xinhua & Su, Xiaosong, 2020. "Towards net zero energy building: The application potential and adaptability of photovoltaic-thermoelectric-battery wall system," Applied Energy, Elsevier, vol. 258(C).
    7. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wu, Jing & Zhang, Yelin & Wu, Zhenghong, 2018. "Numerical evaluation on energy saving potential of a solar photovoltaic thermoelectric radiant wall system in cooling dominant climates," Energy, Elsevier, vol. 142(C), pages 384-399.
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