Multi-objective Flexible Regulation Strategy for Multi-energy Systems of Public Buildings
Against the backdrop of carbon peaking and carbon neutrality,the global call for reducing carbon emissions is becoming increasingly urgent,especially in the construction industry,which accounts for a high percentage of carbon emissions as a major energy consumer.In addition,the wide application of renewable energy has become a trend,and the volatility of renewable energy poses a challenge to grid stability.Therefore,in this context,the selection of suitable regulation strategies is particularly critical.The paper was aimed at modelling the optimization problem and determining the corresponding optimization method for multi-energy building systems.Subsequently,with a public building in a hot summer and warm winter area as an case,the EnergyPlus model was adopted and combined with the software GenOpt to carry out multi-objective optimization.In this process,a particle swarm algorithm considering the shrinkage factor was used to optimize the PV energy storage system of the building inorder to obtain the optimal operation strategy.Finally,the optimization strategy obtained was analyzed and evaluated in terms of operation and flexibility.The study in this paper can provide theoretical support for the optimization and regulation of multi-energy systems in buildings,as well as offer technical guidance for practical applications.
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