Enhancing Daylight Comfort with Climate-Responsive Kinetic Shading: A Simulation and Experimental Study of a Horizontal Fin System DOI Open Access
Marcin Brzezicki

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8156 - 8156

Published: Sept. 19, 2024

This study employs both simulation and experimental methodologies to evaluate the effectiveness of bi-sectional horizontal kinetic shading systems (KSS) with fins in enhancing daylight comfort across various climates. It emphasizes importance optimizing levels while minimizing solar heat gain, particularly context increasing energy demands shifting climatic patterns. The introduces a custom-designed KSS, simulated three distinct climates—Wroclaw, Tehran, Bangkok—using climate-based modeling methods Ladybug Honeybee tools Rhino v.7 software. Standard metrics, such as Useful Daylight Illuminance (UDI) Glare Probability (DGP), were employed alongside custom metrics tailored capture unique dynamics KSS. results statistically analyzed using box plots histograms, revealing UDI300–3000 medians 78.51%, 88.96%, 86.22% for Wroclaw, Bangkok, respectively. These findings demonstrate KSS’s providing optimal conditions diverse regions. Annual simulations based on standardized weather data showed that KSS improved visual by 61.04%, 148.60%, 88.55%, respectively, compared scenario without any shading, 31.96%, 54.69%, 37.05%, open static fins. inclusion switching schedules, often overlooked similar research, enhances reproducibility clarity findings. A physical reduced-scale mock-up was then tested under real-weather Wroclaw (latitude 51° N) during June–July 2024. consisted two Chambers ‘1’ ‘2’ equipped prototype, other one shading. Stepper motors managed fins’ operation via Python script Raspberry Pi 3 minicomputer. control Chamber provided baseline comparing efficiency. Experimental supported simulations, demonstrating robustness reducing high illuminance levels, below 3000 lx maintained 68% time experiment (conducted from 1 4 PM analysis days). While UDI DA calculations not feasible due limited number sensors, Eh1 values enabled evaluation remain threshold. However, 2024 waves, briefly exceeded threshold, reaching 4674 lx. Quantitative qualitative analyses advocate broader application further development climate-responsive system architectural contexts.

Language: Английский

Dynamic façades in buildings: A systematic review across thermal comfort, energy efficiency and daylight performance DOI Creative Commons
Margarida Gonçalves, António Figueiredo, Ricardo M. S. F. Almeida

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 199, P. 114474 - 114474

Published: May 5, 2024

The impact of building sector on carbon mitigation has prompted an increased focus the energy performance built environment. Conventional buildings often suffer from a decoupling effect between their static behaviour and dynamic stimulus external environment, which can affect performance. Therefore, there is growing awareness that façades hold great potential for delivering substantial improvements in efficiency, enhancing thermal comfort lighting conditions. current study, targeted architects, designers researchers, analyses main trends findings research over last five years, with specific improving three indicators: comfort, daylight performance, through bibliometric analysis systematic review. also explores influence climate inertia these findings. Responsive systems have emerged as primary research. Although less explored, adaptive proven to be highly effective overall Moreover, zone revealed temperate climates were prioritized demonstrated remarkable while arid distinguished enhancements efficiency. Concerning mass, predominance heavyweight solutions, they reveal considerable advancements across indicators. Lastly, large-scale experiments are lacking because most studies heavily dedicated simulations modelling. This highlights need additional bridge gap digital models in-field experimental tests.

Language: Английский

Citations

11
Optimizing personal comfort: Short-term personalized heating impact on sanitation workers' thermo-physiological responses DOI

Chujian Gu,

Yang Li,

Shi Chen

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112112 - 112112

Published: Sept. 1, 2024

Language: Английский

Citations

8
Daylight Comfort Performance of a Vertical Fin Shading System: Annual Simulation and Experimental Testing of a Prototype DOI Creative Commons
Marcin Brzezicki

Buildings, Journal Year: 2024, Volume and Issue: 14(3), P. 571 - 571

Published: Feb. 21, 2024

This study aims to develop and evaluate a vertically rotated fin shading system for an energy-efficient, user-friendly office space. The was designed protect 4 × 8 m room with south-facing facade from excessive solar radiation glare. modelled simulated using Rhino/Ladybug 1.6.0 software Radiance engine, based on real-weather data (*.epw file) Wrocław, Poland at 51° lat. simulation calculated the useful daylight illuminance (UDI) 300–3000 lux glare probability (DGP) ten static four kinetic variants of system. optimal angle rotation variant found be α = 40°. were activated when work plane exceeded 3000 lux, as detected by internal sensor “A”. results show that improved uniformity in room, achieving UDI300–3000 values above 80% more than 40% area. A prototype 1:20 scale built tested testbed Wrocław University Science Technology, TESTO THL 160 loggers. measurements conducted week early November 2023, three clear days selected analysis. measurement indicate low altitude causes high peaks (15–18 Klux) significant contrast leading unsatisfactory DGP consistent outcomes. Therefore, concludes proposed may need additional device prevent during periods altitudes.

Language: Английский

Citations

6
Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach DOI
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 94, P. 110015 - 110015

Published: June 21, 2024

Language: Английский

Citations

6
Machine Learning for Pedestrian-Level Wind Comfort Analysis DOI Creative Commons
Miray Gür, İlker Karadağ

Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1845 - 1845

Published: June 18, 2024

(1) Background: Artificial intelligence (AI) and machine learning (ML) techniques are being more widely employed in the field of wind engineering. Nevertheless, there is a scarcity research on comfort pedestrians terms conditions with respect to building design, particularly historic sites. (2) Objectives: This aims evaluate ML- computational fluid dynamics (CFD)-based pedestrian (PWC) analysis outputs using novel method that relies sophisticated handling image data. The goal propose assessment enhance efficiency AI models over different urban scenarios. (3) Methodology: stages include climate data, CFD OpenFOAM, ML Autodesk Forma, comparisons results similarity based SSIM, MSE, PSNR metrics. (4) Conclusions: study effectively demonstrates considerable potential utilizing as supplementary tool for evaluating PWC. It maintains high degree accuracy precision, allowing rapid effective assessments. methodology precise comparison two visual absence numerical data allows objective pertinent comparisons, it eliminates any distortions. (5) Recommendations: Additional can explore integration case studies, thus expanding scope studies.

Language: Английский

Citations

4
Highly Generalized Surrogate Models for Indoor Glare Performance Based on Multimodal Deep Learning Networks at the Early Design Stage DOI
X Li, Gang Liu, Ye Yuan

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112706 - 112706

Published: Feb. 1, 2025

Language: Английский

Citations

0
Advancing Thermal Comfort Prediction: Improvement of the Berkeley Local Thermal Sensation Model and Overall Thermal Sensation Prediction by Machine Learning DOI
Xingjun Hu, K. Shi, Zirui Wang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 113036 - 113036

Published: April 1, 2025

Language: Английский

Citations

0
Artificial intelligence for enhanced decision-making in construction DOI

Hosam Hegazy,

Jiansong Zhang

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 441 - 462

Published: Jan. 1, 2025

Language: Английский

Citations

0
Machine Learning for Wind Speed Estimation DOI Creative Commons
İlker Karadağ, Miray Gür

Buildings, Journal Year: 2025, Volume and Issue: 15(9), P. 1541 - 1541

Published: May 2, 2025

For more than two decades, computational analysis has been pivotal in expanding architectural capabilities, enabling sustainable design through detailed environmental analysis. Central to creating environments is the profound understanding of wind dynamics, which significantly influence comfort levels around buildings. Traditionally, tunnel experiments, situ measurements, and fluid dynamics (CFD) simulations have employed assess speeds urban settings. However, advent machine learning (ML) introduced innovative methodologies that extend beyond these conventional approaches, offering new insights applications design. This study focuses on evaluating pedestrian-level using ML techniques, with a comparative against traditional measurements CFD simulations. Our findings reveal can predict sufficient accuracy for preliminary phases. One primary challenges addressed integration visual outputs from models quantitative data, necessary step enhance model reliability applicability. By developing novel techniques this integration, our research marks significant contribution field, benchmarking effectiveness established methods. The results validate model’s capability accurately estimate speeds, thereby supporting comfortable environments.

Language: Английский

Citations

0
A Systematic Review of the Most Recent Concepts in Kinetic Shading Systems with a Focus on Biomimetics: A Motion/Deformation Analysis DOI Open Access
Marcin Brzezicki

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5697 - 5697

Published: July 3, 2024

In the context of sustainability and ambitious goals for reducing CO2 emissions, modifying transparency in architecture becomes a crucial tool managing energy flow into buildings. Kinetic shading systems (KSSs) regulate light heat entry room, thereby consumption emissions improving daylight comfort. Recent advancements KSSs have led to significant increase published papers since early 2022. This paper systematically reviews recent technological innovations presents mechanical principles utilized these systems. Given kinetic/mechanical nature all case studies examined, categorization based on ‘type motion deformation’ was used, ranging from simplest most complex solutions. kinetic systems, category addresses displacement (translation, rotation, or both) rigid façade elements, while deformation describes transformation that changes shape elements. The data are presented tabular form, including details about building type, climate zone, research evaluation, before after values. Additionally, some reviewed systems’ authors drew inspiration nature, employing biomimetic methods design KSSs. Despite considerable growth, solutions still represent only 21% analyzed system cases. topic is extensively discussed, considering tropical nastic plant movements towards this paper’s conclusion. PRISMA protocol used review, screen, select, retrieve cited papers. review covers publications 2022 April 2024, recorded WoS Scopus databases, includes 66

Language: Английский

Citations

3