Achieving realtime daylight factor computation for modular buildings in generative design

IF 2.2 4区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Journal of Building Performance Simulation Pub Date : 2022-08-04 DOI:10.1080/19401493.2022.2102676
Xavier Marsault
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引用次数: 1

Abstract

In generative design, it is imperative for an architect to evaluate very quickly the performance of many buildings produced. Knowing in interactive time the daylighting potential of a generated form at an early stage of its design, with a minimum of parameters, allows to quickly choose among many variants. The daylight factor computational metamodel presented here in the case of modular buildings allows to instantly compare these solutions in order to make judicious choices in dimensioning, without performing time-consuming simulations. Another challenge was to achieve realtime computation for the daylight factor without using a GPU. We have addressed this objective via an hybrid computation both based on physical and statistical modeling, and on a physical-based computation engine specifically used for the optimization of buildings composed of multiple living units. We detail the full implementation in a generative design software leading to impressive computation times of the order of one ms.
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生成式设计中模块化建筑采光系数的实时计算
在生成式设计中,建筑师必须非常迅速地评估所产生的许多建筑的性能。在其设计的早期阶段,在交互时间中了解生成形式的采光潜力,以最小的参数,允许在许多变体中快速选择。在模块化建筑的情况下,这里提出的日光因子计算元模型允许立即比较这些解决方案,以便在尺寸上做出明智的选择,而无需执行耗时的模拟。另一个挑战是在不使用GPU的情况下实现日光因子的实时计算。我们通过基于物理和统计建模的混合计算以及专门用于优化由多个居住单元组成的建筑物的基于物理的计算引擎来解决这一目标。我们详细介绍了在生成式设计软件中的完整实现,导致令人印象深刻的1毫秒数量级的计算时间。
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来源期刊
Journal of Building Performance Simulation
Journal of Building Performance Simulation CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
5.50
自引率
12.00%
发文量
55
审稿时长
12 months
期刊介绍: The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies We welcome building performance simulation contributions that explore the following topics related to buildings and communities: -Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics). -Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems. -Theoretical aspects related to occupants, weather data, and other boundary conditions. -Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid. -Uncertainty, sensitivity analysis, and calibration. -Methods and algorithms for validating models and for verifying solution methods and tools. -Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics. -Techniques for educating and training tool users. -Software development techniques and interoperability issues with direct applicability to building performance simulation. -Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.
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