Thermal comfort modeling, aspects of land use in urban planning and spatial exposition under future climate parameters

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Language: Английский

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Performance-based design of residential blocks for the co-benefits of building energy efficiency and outdoor thermal comfort improvement

Building and Environment, Journal Year: 2024, Volume and Issue: 264, P. 111926 - 111926

Published: Aug. 8, 2024

Language: Английский

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A multi-objective optimization framework for performance-based building design considering the interplay between buildings and urban environments

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 315, P. 118793 - 118793

Published: July 15, 2024

Language: Английский

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Integrating Machine Learning and Genetic Algorithms to Optimize Building Energy and Thermal Efficiency Under Historical and Future Climate Scenarios

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9324 - 9324

Published: Oct. 27, 2024

As the global energy demand rises and climate change creates more challenges, optimizing performance of non-residential buildings becomes essential. Traditional simulation-based optimization methods often fall short due to computational inefficiency their time-consuming nature, limiting practical application. This study introduces a new framework that integrates Bayesian optimization, XGBoost algorithms, multi-objective genetic algorithms (GA) enhance building metrics—total (TE), indoor overheating degree (IOD), predicted percentage dissatisfied (PPD)—for historical (2020), mid-future (2050), future (2080) scenarios. The employs IOD as key indicator (KPI) optimize design operation. While traditional indices such mean vote (PMV) thermal sensation (TSV) are widely used, they fail capture individual comfort variations dynamic nature conditions. addresses these gaps by providing comprehensive objective measure discomfort, quantifying both frequency severity events. Alongside IOD, use intensity (EUI) index is used assess consumption per unit area, critical insights into efficiency. integration with EUI PPD enhances overall assessment performance, creating precise holistic framework. combination ensures efficiency, comfort, occupant well-being optimized in tandem. By addressing significant gap existing methodologies, current approach combines advanced techniques modern simulation tools EnergyPlus, resulting efficient accurate model performance. reduces time Utilizing SHAP (SHapley Additive Explanations) analysis, this research identified factors influence metrics. Specifically, window-to-wall ratio (WWR) impacts TE increasing through higher heat gain cooling demand. Outdoor temperature (Tout) has complex effect on depending seasonal conditions, while (Tin) minor impact TE. For PPD, Tout major negative factor, indicating improved natural ventilation can reduce whereas Tin larger open areas exacerbate it. Regarding WWR significantly affect internal gains, windows temperatures contributing increased reduced comfort. also positive its varying over time. demonstrates conditions evolve, effects become pronounced, highlighting need for effective management envelopes HVAC systems.

Language: Английский

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Accelerated Inverse Urban Design: A Multi-objective Optimization Method to Photovoltaic Power Generation Potential, Environmental Performance and Economic Performance in Urban Blocks

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106135 - 106135

Published: Jan. 1, 2025

Language: Английский

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Decoding climate change influence: A sensitivity analysis of Iranian multi-apartment design parameters

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134742 - 134742

Published: Jan. 1, 2025

Language: Английский

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Assessing the Impact of Urban Area Size on Thermal Comfort in Compact Urban Fabrics Considering the Saharan City of Ghardaïa, Algeria

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2213 - 2213

Published: March 4, 2025

Improving microclimate conditions is a pivotal aspect of urban design, particularly in hot, arid climates, where it directly influences outdoor comfort, mitigates the heat island (UHI) effect, and reduces indoor cooling energy demand. The objective this study to quantitatively assess impacts neighborhoods’ size when combined with compact streets’ geometry regarding thermal comfort generated typical vernacular settlement Saharan region Algeria. Ksar Al-Atteuf city Ghardaïa taken as case study. related interior buildings assumed be potentially affected by morphology are also examined. To effectiveness two parameters (i.e., compactness) on conditions, mixed methods approach was adopted, integrating situ climatic measurements dynamic simulations. Indoor temperatures were examined traditional house located core Ksar. Year-round operative temperature (OT) simulations achieved using Ladybug tool within Grasshopper, they complemented Universal Thermal Climate Index (UTCI) values calculated during peak hot cold weeks. Furthermore, parametric analysis conducted, focusing performance fabric varying progressively neighborhood sizes from 20 m, 40 60 m. results indicate stable across monitored residential building, which suggests that architectural envelope closely its immediate surroundings. On other hand, UTCI revealed significant differences since larger area provides better mitigation stress summer winter, improved at level, being proportional area. findings underscore value fabrics creating climate-responsive built environments provide further insights into sustainable planning energy-efficient design practices regions.

Language: Английский

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Study on indoor thermal environment and energy consumption of traditional dwellings of ethnic minorities in Sichuan plateau

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 8, 2025

Abstract In this paper, field tests, questionnaire surveys, and DesignBuilder were used to analyse the indoor thermal environment energy consumption of traditional houses in a ethnic minority village Western Sichuan Plateau China, The results showed that during summer test period, outdoor temperature range was 9.3–7.8 °C relative humidity 53.5–67.4%, while tested room 13.3–2.3 °C, 69.1–83.0%. is high, does not meet requirement local standard. Therefore, corresponding energy-saving optimization measures are proposed. winter heating building model data, compared with heat load before optimization, saving reaches about 56.5%. addition, carbon emissions economic suitability different methods evaluated. Electric heating, coal-fired biomass have payback periods 11 years, 24 years 6 respectively. With perspective focusing on special regional characteristics plateau, research aims promote conservation sustainable development buildings minorities, help improve living Plateau. future, long-term monitoring mechanism can be established continuously track residential after adoption evaluate actual effect these measures.

Language: Английский

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Обоснование комбинации стандартных значений характеристик материалов слоев в составе ограждающей конструкции на основе квадратичной оптимизации

Vestnik MGSU, Journal Year: 2025, Volume and Issue: 20(2), P. 193 - 214

Published: Feb. 28, 2025

Language: Русский

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An Innovative Multi-Story Trombe Wall as a Passive Cooling and Heating Technique in Hot Climate Regions: A Simulation-Optimization Study

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1150 - 1150

Published: April 1, 2025

This study develops an optimized multi-story Trombe Wall (MTW) as a hybrid passive system for heating, cooling, and PV electricity generation. Unlike previous research, which focused on single-story applications heating efficiency, this explores MTW performance in hot climates. The methodology includes four phases: identifying TW design parameters, selecting validating case study, applying two-stage optimization, developing predictive equations. Results show that the achieves up to 1.94 °C decrease cooling mode, 1.56 increase 40% thermal comfort hours, 31% rise annual Finally, developed regression models demonstrated strong capability (R2 = 70.2–95.73%) discomfort proposed provides cost-effective sustainable solution, supporting designers researchers optimizing building performance.

Language: Английский

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