Multi-Objective Optimization Design And Operation Strategy Analysis Of Hybrid System For Business District In Shanghai

China with an average growth rate of 10% per year during the last decade indeed has become the second-largest oil consumer and the world largest energy consumer in 2010. Improve the energy efficiency and controlling the carbon emissions have become a key issue that we must pay attention in the future. By reviewing China's energy consumption situation, combined cooling, heating and power generation(CCHP) system could provide a great potential solution to achieve the objectives defined by the government. This kind of system ensures a high energy efficiency, a good environmental impact and a reliable energy supply. In the coming years, it is expected that China will be the first-largest country in terms of installed CCHP capacity. It is obvious that the combination of CCHP systems and renewable energy systems(called, hybrid system) are an even more promising technical solution to resolve the future shortage of energy and the pollution problem.Before the implementation of any CCHP system or hybrid system, a study and an analysis of the target facility have to be done depending upon of several features such as the climate conditions, the load demands and the energy prices. These preliminary studies are essentials to achieve the best design and optimal performance of the system.For this purpose, this thesis presents a way to improve the building energy efficiency with the help of a mathematical optimization model, called genetic algorithm. The optimization problem is a multi-objective optimization problem where the evaluation criteria are the primary energy consumption, the carbon dioxide emission and the cost. Different operation strategy algorithms such as base load following, following thermal load, following electricity load or following thermal-electricity load are integrated to the optimization model to find the best suitable strategy to our problem.With the help of the annual energy consumption and the hourly energy consumption of a typical day of summer, the model implemented on Matlab software allows to not only find the best design of facilities and the optimal performance of the systems installed, but also to compare two types of system.In the last part of this thesis, the results of the simulation and the analysis are gathered to conclude the study.