Optimization Research Of Building Multi Energy Complementary Energy Supply System In Isolated Area

With rapid development of society,the shortage of fossil fuels restricts economic development.Building energy consumption accounts for about one-third of total social energy consumption.Therefore,reducing building energy consumption is one of the most effective ways to ease the energy crisis.Power plants are concentrated in the mainland,isolated areas which is far from the mainland,including remote mountainous areas,remote islands and reefs,etc.are not covered by power grids,resulting in inefficient building energy supply.Especially in low latitude islands in China,air conditioning systems are required to maintain the basic survival under high temperature conditions all year round.This poses higher requirements for building energy supply.The use of a multi-energy complementary energy supply system to provide energy for buildings in isolated areas is one of measures to solve energy crisis.Multi-energy complementary energy supply system can make comprehensive use of various energy sources,mainly relying on renewable energy sources and supplemented by fossil energy.However,the system structure is complex and contains a variety of energy sources and equipment.Rough design will increase system costs and reduce the efficiency of energy utilization,which cannot reflect the advantages of the system.Therefore,an optimized design method is needed to obtain the optimal configuration of the system can better solve the problem of building energy supply in isolated areas.This paper adopts mixed integer linear programming to solve the system optimization design problem,and mainly completes the following work:1.Analyze the status of renewable energy resources in isolated regions,establish a multi-energy complementary model,and determine the output characteristics and energy conversion modes of each component in the system.2.According to the characteristics of the system,the constraints of system size,energy complementarity,energy transmission,conventional energy scarcity,and energy balance are established,and an optimization model with the minimum cost as the objective function is established.3.Forecast energy consumption in isolated areas.Determine input and output parameters,perform model calculations on specific cases,and compare and analyze the optimization results.Based on the consideration of the scarcity of conventional energy sources,this paper presents an optimization plan that is more conducive to the use of renewable energy.At the same time,it can optimize the design of the system.Finally,it can provide an energy warning plan that can be optimized during the entire cycle.