Suphavarophas, Phattranis
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Suphavarophas, Phattranis
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phattranis.su@kmitl.ac.th
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Item type:Publication, Generative Design Process for Alternative Creation of Architectural Design: Application of Willis Tower Shading Analysis Case Study(2023-01-01); ; Generative design is a type of popular computational design providing a simple alternative design that is important instance to architectural design. This study aimed to examine generative design process to better understanding, and building an instruction set by repeat experiment methodology through case study. Willis Tower Shading Analysis was applied using variables that cause differences design options of nine sorted tubes alternate automation tower of 30-, 60- and 90-meters height. Forty-five design options were generated from generative design process, selected variables used in design options including building area, shadow area, neighbor building overshadowing and park overshadowing. It was found that generative design was a quick, modest and practical process that was easy for appropriate analysis. Additionally, input data and instruction for generating multiple output design options could be set for selecting of an option and the process could be reversed for designers required options. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Systematic Review of Applications of Generative Design Methods for Energy Efficiency in BuildingsEnergy efficiency is a principle of architectural design that reduces environmental impact. Generative design can offer alternative options to improve energy efficiency in buildings, but significant gaps exist in the application due to accessing complex knowledge. This study aimed to explore publications on generative design and energy efficiency in buildings and identify generative methods for energy efficiency topics. This study conducted a systematic review using the PRISMA methodology in December 2023 by searching publications from databases including Scopus, Google Scholar, and Thai Journals Online. Descriptive analysis examined 34 articles, showing the publication year, source, and citations. Comparative qualitative and descriptive analysis identified generative methods. Publications are increasing over time, and further growth is expected related to the accessibility of computational design and practical applications. Tools and frameworks demonstrated reduced energy usage compared to prototypes or traditional design approaches. The most studied is thermal performance, which was reduced by 28%. Energy performance achieved up to a 23.30% reduction, followed by others and daylighting. In addition to single-topic studies, there are also studies with multiple topics. Evolutionary algorithms are standard. Parametric search strategies have increased. Exploration reveals rule-based and mixed methods. Machine learning and AI garner attention.