Simulation of Energy Efficiency and Hierarchical Scheduling of Thermal Load of The Photovoltaic and Solar-Thermal Integrated Building
The photovoltaic-thermal integration system involves various forms of energy,including solar and heat.Due to unique generation,storage,and usage characteristics,coupled with the complexity of the system,it is not easy to achieve efficient coordination among diverse energy sources.To achieve satisfactory hierarchical collaborative scheduling results for building thermal loads,this article presented a stratified collaborative scheduling method for thermal load energy efficiency in photovoltaic-thermal integrated buildings.Firstly,the heat transfer process of thermal load in photovoltaic-thermal integration buildings was studied.Then,an analysis was conducted on the thermal inertia and thermal load,thus determining the relationship between the magnitude of thermal inertia and the demand of indoor heat.In order to maximize the thermal efficiency and minimize the scheduling costs,a collaborative scheduling model for thermal load energy efficiency at upper and lower layers in photovoltaic-thermal integrated buildings was built.Finally,a particle swarm optimization algorithm was adopted to analyze and calculate the model,thus determining the optimal stratified collaborative scheduling scheme.Experimental analysis indicates that the pro-posed method achieves good stratified collaborative scheduling results for thermal load energy efficiency with high en-ergy-saving benefits.
Photovoltaic-thermalIntegration buildingHeat-load energy efficiencyHierarchical collaborative scheduling
NETL
NSTL
万方数据
