Building energy-saving design method based on multi-objective intelligent optimization and EnergyPlus

Abstract

The invention discloses a building energy-saving intelligent design method based on multi-objective intelligent optimization and EnergyPlus. The method comprises the following steps that basic structure parameters of a building are determined, a 3D model of the building is established, the building model and meteorological data of a region where the building model is located are imported into EnergyPlus, and the structure parameters of the building model are input; two performance indexes are selected for evaluating the quality of the building design scheme; structural parameters influencing the two performance indexes are selected; the multi-objective intelligent particle swarm optimization algorithm is combined with EnergyPlus, and the algorithm is executed until the algorithm meets a termination condition; and an obtained final result, namely the optimal parameter value is output. The method has the outstanding advantages of low cost, short running time and the like; due to the factthat a user does not need to set any control parameter about the multi-target intelligent particle swarm optimization algorithm, the method has the advantages of being easy to operate and high in applicability.

Description

technical field [0001] The invention belongs to the field of building optimization design, in particular to a building energy-saving design method based on multi-objective intelligent optimization and EnergyPlus. Background technique [0002] Energy is one of society's most important resources. In the total energy consumption, the construction industry is energy-intensive, accounting for about 40% of the total energy consumption. According to the U.S. Energy Information Administration, 57 percent of this energy consumption comes from heating, ventilation, air conditioning, and lighting. Comprehensively considering the energy consumption mechanism of the whole building and improving building energy efficiency has become an international issue considered by designers and researchers. [0003] In the previous building energy-saving design, due to the lack of relevant energy consumption simulation technology, most of the research is devoted to the design of building materials....

AI Technical Summary

Problems solved by technology

The above-mentioned building energy-saving design methods still have the following deficiencies: only a single factor of bui

Images