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

Boya Deng, Ying Zhang, Pingkang Zhang, Xiaofei Zhou, Hui Lv, Dongjun Tang
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Abstract

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.
基于TRNSYS-MATLAB的智能建筑系统能耗分析及多目标运行优化
CCHP微电网作为一种高效、可靠的能源供应方式,可以有效地实现多种能源的协同供应。本文以热电联产微电网为研究对象,利用TRNSYS分析建筑冷热负荷特性,进一步分析热电联产系统的分布式模型、典型设备系统,建立综合成本节约率、CO2排放率和多目标能效优化模型,采用NSGA - II算法对系统核心设备运行策略和调度方案进行优化。以中国北方典型建筑负荷为例,对冷、热、电三联供的建筑微网系统进行了实例分析,验证了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热电联产微电网能够有效实现经济节能,减少CO2排放,提高一次能源利用率,进一步节约成本,保护环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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