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

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.