{"title":"Achieving realtime daylight factor computation for modular buildings in generative design","authors":"Xavier Marsault","doi":"10.1080/19401493.2022.2102676","DOIUrl":null,"url":null,"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.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Building Performance Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19401493.2022.2102676","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
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.
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.