Performance-Oriented Parametric Design Method and Tool for Residential Buildings in Northern China
DOI:
https://doi.org/10.53469/wjimt.2026.09(05).09Keywords:
Green residential building, Building performance, Parametric design, Genetic algorithm, Early design stageAbstract
In the context of rapid digital technology and artificial intelligence development, the construction industry faces a new technological revolution. Green energy efficiency is a practical requirement due to increasingly severe resource and environmental problems, with residential energy conservation in northern China being particularly important. This paper addresses practical problems in current domestic residential design, including insufficient performance optimization in early design stages and deviation between actual building performance and design targets. Focusing on green performance targets in the early design stage of northern residential buildings, this research combines energy-efficient design with AI technology, exploring the application potential of parametric digital technology and intelligent design. The paper constructs a green performance-target-oriented, human-machine collaborative design method based on performance simulation data and an architect-oriented technical collaboration tool platform. A residential standard floor plan automatic generation algorithm and a simplified intelligent optimization algorithm are developed based on parametric generative design methods and genetic algorithms. An intelligent green design tool platform, “TH-Green House Designer”, is developed for architects. The method and tools are validated through a case study of the Beijing Vanke Emerald Garden demonstration project, achieving an 18.1% reduction in total energy load compared to the original scheme.
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