Rapid green building energy-saving evolutionary design method based on multi-agent assistance
A green building and design method technology, applied in multi-objective optimization, calculation, computer components, etc., can solve problems such as high calculation costs, and achieve the effect of increasing the selection range, shortening the optimization time, and optimizing the solution
Active Publication Date: 2022-03-01
CHINA UNIV OF MINING & TECH
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However, since the real function values of all non-inferior solutions produced by the population need to be continuously calculated during the evolution process, the computational cost of these methods for surrogate model construction is still high, especially for those optimization problems with a large number of non-inferior solutions
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[0060] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0061] In order to significantly reduce the computational cost of the evolutionary algorithm in dealing with building energy-saving design problems, the present invention proposes a multi-agent-assisted multi-objective evolutionary optimization algorithm. According to the objective decomposition characteristics of the multi-objective evolutionary optimization algorithm, multiple basic proxy models are constructed at the same time; for different individuals to be evaluated, the neighborhood aggregation mechanism is used to integrate multiple basic proxy models to improve the prediction accuracy. At the same time, during the evolution process, the update timing and scale of the basic agent model are determined independently to reduce the management cost of the agent model. The innovation points of the present invention are as follows: (1) Establish a...
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The invention discloses a fast green building energy-saving evolutionary design method based on multi-agent assistance, which comprises the following steps: determining basic structure parameters of a building, establishing a 3D model of the building, importing the building model and meteorological data of a region where the building model is located into EnergyPlus software, and inputting the structure parameters of the building model; selecting two performance indexes for evaluating the advantages and disadvantages of the building design scheme, and setting structural parameters influencing the two performance indexes; by means of EnergyPlus software, a new multi-agent auxiliary multi-objective evolutionary optimization algorithm is executed until the algorithm meets a termination condition; and outputting an obtained final result, namely an optimal building energy-saving parameter value. The method has the outstanding advantages of low cost, short running time, simplicity in operation, high applicability and the like.
Description
technical field [0001] The invention relates to the technical field of building energy conservation, in particular to a multi-agent-assisted rapid green building energy-saving evolutionary design method. Background technique [0002] Energy is one of the most important resources of society and the core of national economic and social activities. Since the energy consumption of the building industry accounts for about 40% of the total global energy consumption, a large number of scholars have begun to devote themselves to the research on the minimization of building energy consumption. At the same time, the implementation of building energy-saving measures is also an important strategy to reduce pollutants and greenhouse gas emissions, which can greatly improve the environment and public health. Comprehensively considering the energy consumption mechanism of buildings and improving building energy efficiency has become an international issue considered by designers and resea...
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IPC IPC(8): G06F30/13G06K9/62G06Q50/08G06F111/06
CPCG06F30/13G06Q50/08G06F2111/06G06F18/214
Inventor 张勇梁晓珂贺春林巩敦卫季新芳
Owner CHINA UNIV OF MINING & TECH