A Visualization System for the Comfort Analysis of Modular Architecture: A Case Study

Kim, Doyoung; Lee, Seongki; Kim, Sung-Ah

doi:10.1007/978-3-642-32609-7_35

Cited by 2 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[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%

See 1 more Smart Citation

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

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.

show abstract

Section: Generative Design Methods For Energy Efficiency Topicsmentioning

confidence: 99%

“…Research implements processes to allow for generative design, visualization of analysis, and optimization of alternative targeting factory manufacturing buildings with BIM-based design (Kim et al, 2012) [71].…”

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

“…Distribution The fluctuation of the oil fire HRR (1) around the mean value ( Figure 10) 605 kW 0.05 Normal The random duration of oil fire ( Figure 10) 433 s 0.07 Normal The fluctuation of the flue fire HRR (1) around the mean value ( ) at (Figure 11 (1) HRR: heat release rate. (2) The variables ( ) and ( ) ( = 1, 2, . .…”

Section: Symbol Meanmentioning

confidence: 99%

“…The selection problem is highly important in the early design stage. In the literature, attempts are described to provide some theoretical base for the selection among alternative architectural and structural solutions [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Solving the Problem of Multiple-Criteria Building Design Decisions with respect to the Fire Safety of Occupants: An Approach Based on Probabilistic Modelling

Vaidogas

Šakėnaitė

2015

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The design of buildings may include a comparison of alternative architectural and structural solutions. They can be developed at different levels of design process. The alternative design solutions are compared and ranked by applying methods of multiple-criteria decision-making (MCDM). Each design is characterised by a number of criteria used in a MCDM problem. The paper discusses how to choose MCDM criteria expressing fire safety related to alternative designs. Probability of a successful evacuation of occupants from a building fire and difference between evacuation time and time to untenable conditions are suggested as the most important criteria related to fire safety. These two criteria are treated as uncertain quantities expressed by probability distributions. Monte Carlo simulation of fire and evacuation processes is natural means for an estimation of these distributions. The presence of uncertain criteria requires applying stochastic MCDM methods for ranking alternative designs. An application of the safety-related criteria is illustrated by an example which analyses three alternative architectural floor plans prepared for a reconstruction of a medical building. A MCDM method based on stochastic simulation is used to solve the example problem.

show abstract

A Visualization System for the Comfort Analysis of Modular Architecture: A Case Study

Cited by 2 publications

References 2 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

Solving the Problem of Multiple-Criteria Building Design Decisions with respect to the Fire Safety of Occupants: An Approach Based on Probabilistic Modelling

Contact Info

Product

Resources

About