Research On Prediction Model Of Building Photovoltaic Module Dust Deposition And Operating Efficiency Optimization

With the development of building renewable energy integration and green building.Photovoltaic power generation technology integration has become the trend of industry development in construction.During the long-term operation of building photovoltaic system,the dust in the atmosphere will cover the surface of photovoltaic modules and form dust deposit,which will affect the power generation efficiency and service life of the system.Periodic cleaning can improve the operation efficiency of photovoltaic modules,but in practice,most of the cleaning cycles of photovoltaic systems are based on manual observation or experience,lacking of scientific and can not achieve optimal results.In view of the above problems,building photovoltaic modules are taken as research objects.The effects of seasonal variations,installation height and installation inclination on dust deposition on the surface of photovoltaic modules have been studied.Then establishes the prediction model of building photovoltaic module dust deposition,carries out the optimization study of dust cleaning cycle.Discussing the optimization strategy of building photovoltaic system operation efficiency combined with practical cases.The main contents are as follows:(1)Study on dust deposition characteristics of building photovoltaic modules.The power generation efficiency monitoring system of building photovoltaic module is designed to obtain the power generation data of dust accumulation module and cleaning module.It is found that seasonal variation has a significant impact on the power generation efficiency attenuation rate of building photovoltaic modules.Designing the test of surface dust density of photovoltaic module,comparing the surface dust densityof photovoltaic module with different installation height and installation inclination.It is found that with the increase of installation height and installation inclination,the dust density decreases.(2)Prediction model of building photovoltaic module dust deposition.Studying the influence of various factors on the degree of dust accumulation,using MATLAB software to establish the prediction model of seasonal variation,installation height and installation inclination on the impact of building photovoltaic modules,and to evaluate the situation of building photovoltaic modules dust accumulation.(3)Study on Optimization of cleaning cycle for building photovoltaic module dust deposition.The relationship between cleaning efficiency and cleaning cost of building photovoltaic module power generation is analyzed to put forward an economic optimization method based on the condition that the total cleaning economic benefit is non-negative and the maximum value is taken as the condition to establish the cleaning cycle and the maximum total cleaning economic benefit.Define the installation height cleaning factor,installation inclination cleaning factor and rainfall cleaning factor.Then establish the optimization model of building photovoltaic module dust cleaning cycle.(4)Operating efficiency optimization strategy of building photovoltaic system.Taking an industrial plant in Xi’an as an example,the validity of the model is verified.The cleaning frequency is 45 times in a year,and the total economic benefit of cleaning is 4552.4 yuan.After optimization,the annual average profit is 3279.5 yuan,which significantly improves the operation efficiency of building photovoltaic system.The influence of cleaning cost per unit area,installed capacity of photovoltaic system,installation height and installation inclination on the optimization model of dust cleaning cycle for building photovoltaic modules is studied.The change rule of cleaning cycle and maximum cleaning benefit is obtained,which provides strategies for the optimization of operation efficiency of building photovoltaic system.The prediction model of building photovoltaic module dust accumulation and the optimization model of building photovoltaic module dust accumulation cleaning cycle are established.The paper studies the optimization strategy of building photovoltaic system operation efficiency,solves the problems of building photovoltaic module dust accumulation status assessment,cleaning cycle determination and operation efficiencyoptimization,and has important guiding significance for the optimization of the whole life cycle operation management of photovoltaic building.