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<p>We present a novel workflow where non-rectangular floor plans (NRFPs), namely plans with at least one concave corner, are self-generated using a model that directly encodes key optimisation factors on spatial quality and energy consumption, with non-rectangular building envelopes. The modelling considers a number of key factors including architectural and urban quality, net zero factors and adherence to general residents’ feedback from previous studies. We provide evidence that the proposed workflow outperforms a number of optimisation solvers generally used in computational design, in those cases where solar radiation is most needed. Our study combines a syntactic approach with a computational one with a novel workflow to encode tangible and intangible factors to improve a specific class of non-trivial floor plans (L-shaped).</p>

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Non-trivial Self-organised Floor Plans: An Optimisation Strategy

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月9日

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  • Silvio Carta,
  • Krishnendra Shekhawat,
  • Luciano Ambrosini,
  • Tommaso Turchi,
  • Miguel Vidal

摘要

We present a novel workflow where non-rectangular floor plans (NRFPs), namely plans with at least one concave corner, are self-generated using a model that directly encodes key optimisation factors on spatial quality and energy consumption, with non-rectangular building envelopes. The modelling considers a number of key factors including architectural and urban quality, net zero factors and adherence to general residents’ feedback from previous studies. We provide evidence that the proposed workflow outperforms a number of optimisation solvers generally used in computational design, in those cases where solar radiation is most needed. Our study combines a syntactic approach with a computational one with a novel workflow to encode tangible and intangible factors to improve a specific class of non-trivial floor plans (L-shaped).