| With the gradual development of society.China’s demand for energy is increasing,and the corresponding environmental problems are accompanied.In recent years,the haze weather has occurred frequently,and the greenhouse effect has gradually appearedm which has brought more and more troubles to all walks of life in society.Therefore.how to make energy use cleaner has become an important research direction.Studies have shown that China’s current coal-dominated energy structure is one of the main factors leading to environmental problems.With the continuous improvement of China’s power generation technology,many regions already have a certain degree of clean energy power generation capacity.Adjusting the energy utilization structure and replacing the terminal primary energy with electrical energy,which is secondary energy,inefficient use of the primary energy can play a better role in improving the environment.Therefore,the implementation of energy substitution and optimization of energy terminals is an important energy strategic plan for the future.However,in the use of regional energy,many influencing factors will appear,leading to different requirements for energy allocation in different regions.Therefore,it is the focus of this thesis how to provide corresponding energy replacement equipment installation optimization schemes for different energy systems according to the requirements of energy replacement indicators of different energy systems.This paper establishes an evaluation index system,evaluates the existing power substitution technology,based on the traditional power substitution technology analysis model,comprehensively considers the environmental constraints and economic constraints,and combines the gray correlation analysis comprehensive evaluation model to analyze the indicators.This makes the scheme closer to the requirements of electric energy substitution in relevant regions.Then,by analyzing and investigating specific cases of large residential settlements,setting different scenarios according to the cases to verify the use of the entire optimization model process and output the results.Among them,the scenario includes three scales focusing on economy,environmental and economic environment balance,and it has a good representation of practical applications.The final results show that:(1)The optimization results of different scenarios are significantly different;The increasing trend of the number of electric boilers and air source heat pumps is more obvious.(2)The impact of the number of equipment on the economic benefit has a peak.After exceeding the peak,the impact of increasing or decreasing the number of equipment on the economic benefit will be minimal.Even if the environmental index is reduced,it is difficult to increase the economic benefit again.Only by introducing more equipment type to improve the optimization level.(3)The existing cardinality of different types of equipment will affect the results to a certain extent,so whether to choose to replace equipment is also one of the factors that affect the decision. |
