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

Authors :
Zhu, Xiaoxuan
Wang, Peng
Zhang, Hui
Wang, Shiqiang
Xv, Shuaiquan
Liu, Hailong
Zhang, Yihua
Zhao, Dong
Han, Jitian
Source :
Renewable Energy: An International Journal. Jun2024, Vol. 227, pN.PAG-N.PAG. 1p.
Publication Year :
2024

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 CO 2 and NO x , 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09601481
Volume :
227
Database :
Academic Search Index
Journal :
Renewable Energy: An International Journal
Publication Type :
Academic Journal
Accession number :
177223627
Full Text :
https://doi.org/10.1016/j.renene.2024.120538