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Energy Consumption Analysis and Multi-objective Operation optimization of Intelligent Building System Based on TRNSYS-MATLAB

机译:基于Trnsys-matlab的智能建筑系统能耗分析与多目标运行优化

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摘要

As an efficient and reliable way of energy supply, the CCHP(Combined Cooling Heating and Power)microgrid can effectively realize the coordinated supply of a variety of energy sources. Based on the CCHP microgrid as the research object, using TRNSYS analysis building cooling and heating load characteristic, further analysis of distributed model of CCHP system, typical equipment system, establish a comprehensive cost saving rate, CO2 emission rate and a multi-objective optimization model of energy efficiency, using the NSGA - II algorithm system core equipment operation strategy and scheduling scheme. Taking a typical building load in northern China as an example, an example analysis of a building microgrid system with combined cooling, heating and power supply is carried out to verify the effectiveness of the optimization model and solving algorithm proposed in this paper. Results show that the CCHP microgrid based on multi-objective optimization algorithm can effectively implement the economic saving, reducing CO2 emissions and enhance the utilization ratio of primary energy, further cost savings and protect the environment.
机译:作为一种有效且可靠的能量供应方式,CCHP(组合冷却加热和功率)MicroGrid可以有效地实现各种能源的协调供应。基于CCHP MicroGrid作为研究对象,采用TRNSYS分析建筑冷却和加热负荷特性,进一步分析CCHP系统的分布式模型,典型设备系统,建立综合成本节约率,二氧化碳排放率和多目标优化模型能效,采用NSGA - II算法系统核心设备运行策略和调度方案。以中国北方的典型建筑负荷为例,实施了具有组合冷却,加热和电源的建筑微电网系统的示例性分析,以验证本文提出的优化模型和求解算法的有效性。结果表明,基于多目标优化算法的CCHP微电网可以有效地实现经济储蓄,减少CO 2 排放和提高原发性能源的利用率,进一步节省成本和保护环境。

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