A fast green building energy-saving evolutionary design method based on multi-agent assistance
A technology of green building and design method, which is applied in the field of building energy conservation, can solve the problems of high calculation cost, etc., and achieve the effect of increasing the selection range, optimizing the scheme, and wide applicability
Active Publication Date: 2022-06-03
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, the technical scheme of the present invention is described in further detail:
[0061] In order to significantly reduce the computational cost of the evolutionary algorithm to deal with the building energy-saving design problem, the present invention proposes a multi-agent-assisted multi-objective evolutionary optimization algorithm. According to the target decomposition characteristics of the multi-objective evolutionary optimization algorithm, multiple basic surrogate models are constructed at the same time; for different individuals to be evaluated, the neighborhood aggregation mechanism is used to integrate multiple basic surrogate models to improve their prediction accuracy. At the same time, the update timing and scale of the basic surrogate model are independently determined in the evolution process to reduce the management cost of the surrogate model. The innovations of the present invention are as follows: (1) Est...
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The invention discloses a multi-agent-assisted rapid green building energy-saving evolutionary design method, the steps are as follows: determine the basic structural parameters of the building, establish its 3D model, import the building model and the meteorological data of the location into the EnergyPlus software, and Input the structural parameters of the building model; select two performance indicators used to evaluate the quality of the architectural design scheme, and set the structural parameters that affect the above two performance indicators; with the help of EnergyPlus software, execute a new multi-agent assisted multi-objective evolution Optimize the algorithm until the algorithm meets the termination condition; output the final result, that is, the optimal building energy-saving parameter value. The method of the invention has outstanding advantages such as low cost, fast running time, simple operation and strong applicability.
Description
technical field [0001] The invention relates to the technical field of building energy saving, in particular to a rapid green building energy saving evolution design method based on multi-agent assistance. Background technique [0002] Energy is one of society's most important resources and the core of a country's 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 focus on the research on the minimization of building energy consumption. At the same time, the implementation of building energy efficiency measures is also an important strategy to reduce pollutants and greenhouse gas emissions, which can greatly improve the environment and public health. Comprehensive consideration of the energy consumption mechanism of buildings and improvement of building energy efficiency have become an international issue considered by designers and rese...
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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