Multi-objectiveoptimization and posteriorimulti-criteria decisionmakingon an integrativesolid oxide fuel cell cooling,heating and powersystem with semi-empirical model-drivenco-simulation

被引：0
作者：
Gao, Bin [1 ]
Zhou, Yuekuan [1 ,2 ,3 ,4 ]
机构：
[1] Hong Kong Univ Sci & Technol Guangzhou, Sustainable Energy & Environm Thrust, Funct Hub, Guangzhou 511400, Guangdong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Clear Water Bay, Hong Kong, Peoples R China
[3] HKUST Shenzhen Hong Kong Collaborat Innovat Res In, Shenzhen, Peoples R China
[4] Hong Kong Univ Sci & Technol, Div Emerging Interdisciplinary Areas, Clear Water Bay, Hong Kong, Peoples R China
来源：
ENERGY CONVERSION AND MANAGEMENT | 2025年 / 325卷
基金：
中国国家自然科学基金;
关键词：
Solid Oxide Fuel Cell; Combined Cooling; Heating and Power System; Multi-objective Optimization; Parametrical and Sensitivity Analysis; Techno-Economic Performance; TECHNOECONOMIC ANALYSIS; POWER; ELECTROLYZER; OPTIMIZATION; SYSTEMS; PEMFC;
D O I：
10.1016/j.enconman.2024.119371
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
An integrative solid oxide fuel cell combined cooling, heating and power system in green buildings with hydrogen energy of byproduct water enables carbon neutrality transformation. However, underlying mechanisms on capacity sizing of combined cooling, heating and power system devices and its impacts on system techno-economy have not been figured out especially considering dynamic degradation and efficiency of associated devices. In this study, a multi-software optimization platform is established by MATLAB-TRNSYS cosimulation for sizing parametrical analysis, with well balance of modelling complexity and computational efficiency. A self-sufficient combined cooling, heating and power system is modelled integrating with a semiempirical surrogate model of solid oxide fuel cell to interact with other balance of plant types efficiently. Total energy efficiency and annual total cost are optimized through parametrical analysis on device size of each component (battery, electrolyzer and solid oxide fuel cell) and analysis of variance for contribution ratio quantification. Results indicate that, the size increase in electrolyzer and solid oxide fuel cell will improve system total energy efficiency by 13.635 % and 2.194 %, but promote annual total cost by 4.042 x 10(4 )$ and 2.389 x 10(3) $, respectively. Besides, sensitivity analysis indicates that the electrolyzer size prioritizes other design parameters in techno-economic performance. Optimal sizes of battery, electrolyzer and solid oxide fuel cell are in cell number range of 333 - 403, 17 - 20, and 26 - 30, respectively, with corresponding optimal total energy efficiency and annual total cost at 70.861 % - 72.147 % and 6.723 x 10(4) $ - 7.325 x 10(4) $, respectively. The research results can provide guidance on hydrogen-based cooling, heating and power system design and operation with techno-economic feasibility for low-carbon district energy transition.
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页数：20
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