Building for tomorrow: Analyzing ideal thermal transmittances in the face of climate change in Brazil

Rodrigues, Eugénio; Parente, Jean; Fernandes, Marco S.

doi:10.1016/j.apenergy.2023.122360

Cited by 11 publications

(2 citation statements)

References 33 publications

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“…[36,38,39,56,59,63,64,69]. -Shape grammars and parametric [70] Evolutionary algorithms and parametric [66] Thermal Performance Parametric [34,58,71] Rule-based [59] EPSAP algorithm [36,54,63]…”

Section: Generative Design Methods For Energy Efficiency Topicsmentioning

confidence: 99%

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A Systematic Review of Applications of Generative Design Methods for Energy Efficiency in Buildings

Suphavarophas,

Wongmahasiri,

Keonil

et al. 2024

Buildings

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Energy 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.

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Section: Generative Design Methods For Energy Efficiency Topicsmentioning

confidence: 99%

“…Research found that maintaining the present-day ideal U-values also significantly impacts the thermal loads in the timeframes (Rodrigues et al, 2023) [54].…”

Section: Energy Efficient Topics Energy Efficiency Of Buildings Achie...mentioning

confidence: 99%

A Systematic Review of Applications of Generative Design Methods for Energy Efficiency in Buildings

Suphavarophas,

Wongmahasiri,

Keonil

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

Prospective life cycle approach to buildings' adaptation for future climate and decarbonization scenarios

Rodrigues,

S. Fernandes

et al. 2024

Applied Energy

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A Morris sensitivity analysis of an office building's thermal design parameters under climate change in sub-Saharan Africa

Tajuddeen,

Rodrigues

2024

Building and Environment

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Building for tomorrow: Analyzing ideal thermal transmittances in the face of climate change in Brazil

Cited by 11 publications

References 33 publications

A Systematic Review of Applications of Generative Design Methods for Energy Efficiency in Buildings

A Systematic Review of Applications of Generative Design Methods for Energy Efficiency in Buildings

Prospective life cycle approach to buildings' adaptation for future climate and decarbonization scenarios

A Morris sensitivity analysis of an office building's thermal design parameters under climate change in sub-Saharan Africa

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