Building multi-performance oriented design optimization method

Abstract

The invention discloses a building multi-performance oriented design optimization method, which comprises the steps of 1, determining a building design decision target and potential influence factorsthereof as an optimization target and an optimization variable respectively, and defining constraint conditions so as to construct an optimization model; 2, obtaining a building performance sample library with statistical representativeness, wherein the step comprises construction of an optimization variable sample matrix, setting of a building physical model, construction of a building performance output matrix and construction of a building multi-dimensional input and multi-dimensional output sample matrix; 3, constructing a simplified relation model between the optimization variable and theoptimization target by adopting a machine learning algorithm, and taking the simplified relation model as an agent model; and 4, taking the agent model as a fitness function of an optimization algorithm, executing building multi-objective optimization, and obtaining a Pareto optimization result. According to the method, the multi-objective optimization process of the building performance can be more scientific and standard, calling of EnergyPlus software in the optimization process is reduced through the coupling agent model and the multi-objective genetic algorithm, and the optimization timeis shortened.

Description

technical field [0001] The invention relates to the technical field of architectural optimization design, in particular to an optimization method for architectural multi-performance-oriented design. Background technique [0002] Decision-making in the architectural design stage will involve a variety of building performance indicators, which affect and even determine the future performance of the building. There may be a competitive relationship between different building performance indicators, so different design orientations should be considered in building design to improve the overall performance of the building. Factors affecting building performance involve the thermal insulation performance of the exterior wall, air tightness, window-to-wall ratio, and building orientation, which are characterized by high dimensions, high uncertainty, and interaction. The interaction among these influencing factors constitutes a very complex design space, so how to identify the opti...

AI Technical Summary

Problems solved by technology

Although this method can achieve the purpose of solving the comprehensive performance of buildings, it has not been widely adopted in the engineering field because it needs to sacrifice a lot of time to perform building simulations

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