Impact of wind in urban planning: A comparative study of cooling and natural ventilation systems in traditional Iranian architecture across three climatic zones DOI Creative Commons
Mina Ganjimorad, José Durán Fernández, Milad Heiranipour

et al.

Architecture Papers of the Faculty of Architecture and Design STU, Journal Year: 2024, Volume and Issue: 29(4), P. 15 - 29

Published: Sept. 1, 2024

Abstract This study explores the role of wind in shaping traditional Iranian architecture across three distinct climatic zones: cold mountainous (Hajij), hot desert (Yazd), and humid coastal (Rasht) with a focus on passive cooling natural ventilation techniques. By examining effects urban layouts, building orientation, material selection, research highlights architectural features such as windcatchers, courtyards, insulation techniques that enhance thermal comfort diverse environments. The employs comparative approach, analysing adaptations like compact layouts windbreaks regions, windcatchers open courtyards areas, illustrating how vernacular aligns each climate’s challenges. Using combination EnergyPlus simulations, field observations, quantitative climate data, this validates efficiency these methods moderating indoor temperatures, reducing energy demands, providing sustainable solutions. Comparative tables demonstrate Rasht, Yazd, Hajij, metrics density, properties. findings underscore enduring relevance ancient strategies modern design, offering valuable insights for efficient, climate-responsive planning minimises reliance mechanical systems. re-evaluating indigenous strategies, advocates an integrated approach merges local knowledge sustainability practices, fostering resilience design varied contexts.

Language: Английский

Recent Advances in Machine Learning for Building Envelopes: From Prediction to Optimization DOI
LI Xue-ren, Liwei Zhang, Yin Tang

et al.

Published: Jan. 1, 2025

Nowadays, advanced building envelopes not only need to meet traditional design requirements but also address emerging demands, such as achieving low-carbon transition of buildings and mitigating the urban heat island (UHI) effect. Given intricacy indoor conditions complexity variables, approaches can hardly keep pace with evolving demands. Therefore, integrating Artificial Intelligence (AI) into envelope is trending in recent years. This paper provides a holistic review research on machine learning (ML) design. Popular ML algorithms, data input requirements, output generation are first elucidated, aiming shed light selection appropriate algorithms for specific datasets achieve optimal outcomes. ML-involved studies related types (e.g., building-integrated photovoltaic (BIPV), green roofs, PCM-integrated walls, glazing systems, etc.) discussed. The further highlights capabilities AI technologies predicting parameters material properties, environmental impact) optimizing criteria minimizing energy consumption), from micro-scope (i.e., microenvironment) macro-scope impact heat). work anticipated yield valuable insights promoting AI-driven solutions tackle both conventional challenges sustainable development.

Language: Английский

Citations

1
Urban functional area building carbon emission reduction driven by three-dimensional compact urban forms’ optimization DOI Creative Commons

Huanye He,

Zhuoqun Zhao, Han Yan

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112614 - 112614

Published: Sept. 16, 2024

Language: Английский

Citations

4
Advances in Cooling Technologies for Electric Vehicle Drive Motors, Reducers, and Inverters: A Comprehensive Review DOI Creative Commons
H. Ahmad,

Palanisamy Dhamodharan,

S. Kim

et al.

Energy Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Effective thermal management is a critical challenge in electric vehicles (EVs), influencing the efficiency, reliability, and lifespan of key components such as drive motors, inverters, reducers. This comprehensive review systematically evaluates advanced cooling technologies for EV powertrains, providing comparative analysis traditional emerging solutions. Novel insights are presented on integration innovative materials, nanofluids phase‐change application artificial intelligence (AI) dynamic optimization. The study highlights enhanced performance achieved through hybrid approaches that synergize liquid air‐cooling methods. Additionally, introduces transformative potential AI‐driven systems optimizing predicting loads, detecting faults real time. novelty this work lies its focus holistic multiple components, bridging gap current literature by addressing interplay strategies across entire powertrain. underscores need continued innovation to meet growing demands technology sustainability goals.

Language: Английский

Citations

0
Dynamicity of carbon emission and its relationship with heat extreme and green spaces in a global south tropical mega city region DOI
Manob Das, Arijit Das

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102484 - 102484

Published: Feb. 1, 2025

Language: Английский

Citations

0
Multi-objective Optimization of Embodied Carbon Emission, Energy Consumption, and Daylighting Performance of Educational Building in the Schematic Design Stage DOI

Yongpeng Shi,

Zhen Yang,

Shu Zheng

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112594 - 112594

Published: April 1, 2025

Language: Английский

Citations

0
Reducing Carbon Emissions from Transport Sector: Experience and Policy Design Considerations DOI Open Access
Saeed Solaymani, Julio Botero

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3762 - 3762

Published: April 22, 2025

Countries aim to reduce fossil fuel usage and related environmental issues through various demand- supply-side policies. Numerous studies have assessed the policies’ overview. However, analysis of impacts effectiveness these policies in addressing transport-related CO2 emissions is limited globally countries like New Zealand, which a lower energy intensity compared Europe, Asia, Oceania averages. Therefore, this study first analyses trends consumption within transport sector across ten largest total CO2-emitting countries, as well OECD countries. It then provides systematic review relevant and, finally, estimates two econometric models explore effects on market, aimed at reducing GHG from sector, with Zealand case study. The findings indicate that remains significant contributor global emissions, accounting for 40.4% 23.3%, respectively, 2024. countries—China, United States, India, Russia, Japan, Germany, South Korea, Iran, Canada, Saudi Arabia—are responsible 68% emissions. Additionally, except US, highest emissions—Japan, Mexico, UK, Italy, France, Spain, Australia—accounted 15.7% world’s Although share renewable electricity has steadily risen 3.54% 1.4%, 2022, further adoption sources can considerably greenhouse gas sector. Results also both effectively their impact amplified when implemented together. In demand-side proven be more effective than strategies alone, though combining them most efficient approach. This emphasizes importance strategic policy implementation guide world toward sustainable development.

Language: Английский

Citations

0
Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization DOI Creative Commons
Utkal Khandelwal,

G. Karuna,

Sanjay Reddy

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 581, P. 01039 - 01039

Published: Jan. 1, 2024

This study examines how predictive analytics and the IoT might improve sustainable urban transportation systems. Using device data, this will explore integration alter transportation. The data covers vehicle speed, traffic density, AQI, weather. research estimates congestion, volume using modeling. assesses prediction accuracy match. Unfavorable weather increases whereas density decreases speed. Predictive methods accurately estimate congestion air quality, but is more difficult. algorithms' in anticipating AQI confirmed by comparing predicted actual outcomes. Despite a 1.4% flow increase, solutions reduce 25% quality 12.7%. impact shows that these promote sustainability. highlights potential of to mobility, enable smarter decision-making, create environments via data-driven insights proactive actions.

Language: Английский

Citations

0
Optimization of Photovoltaic System Efficiency in Building Envelope Designs Using Genetic Algorithms: Comparative Analysis of Cost Metrics, Energy Savings, and Payback Periods DOI Creative Commons
Khristina Maksudovna Vafaeva,

Gotlur Karuna,

Kanhaiya Lal Ashvani Kumar

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 588, P. 03006 - 03006

Published: Jan. 1, 2024

This study examines how genetic algorithms (GA) can be used to make protective structures for photovoltaic (PV) systems more efficient. We tried increase the efficiency of solar cell in five different construction scenarios with regard costs, energy savings, and payback time. To optimize this, we parameters such as width, height, depth, insulation thickness, shading, roof angle. An evolutionary algorithm generated most efficient individual 32.89 m 8.83 1.46 WWR = 32.52%, 8.96 cm, shading 7.94 m², angle 72.08°. The panels had an 31.27%. According cost analysis, Building 4, which installation costs $40,000 annual maintenance $1,500, provided greatest savings $7,000 per year a period years. features that distinguished 2 were cost, $ 25000; pay back was seven years; 800 year. But it also saved less power around four thousand dollars consumption. In 3 found years Buildings 5 average performance observed. practical outcomes study, has been perceived applying lead enhancement economic plants including saving aspects. It is therefore argued here these skills applied building design possible returns on panel are boosted.

Language: Английский

Citations

0
Impact of wind in urban planning: A comparative study of cooling and natural ventilation systems in traditional Iranian architecture across three climatic zones DOI Creative Commons
Mina Ganjimorad, José Durán Fernández, Milad Heiranipour

et al.

Architecture Papers of the Faculty of Architecture and Design STU, Journal Year: 2024, Volume and Issue: 29(4), P. 15 - 29

Published: Sept. 1, 2024

Abstract This study explores the role of wind in shaping traditional Iranian architecture across three distinct climatic zones: cold mountainous (Hajij), hot desert (Yazd), and humid coastal (Rasht) with a focus on passive cooling natural ventilation techniques. By examining effects urban layouts, building orientation, material selection, research highlights architectural features such as windcatchers, courtyards, insulation techniques that enhance thermal comfort diverse environments. The employs comparative approach, analysing adaptations like compact layouts windbreaks regions, windcatchers open courtyards areas, illustrating how vernacular aligns each climate’s challenges. Using combination EnergyPlus simulations, field observations, quantitative climate data, this validates efficiency these methods moderating indoor temperatures, reducing energy demands, providing sustainable solutions. Comparative tables demonstrate Rasht, Yazd, Hajij, metrics density, properties. findings underscore enduring relevance ancient strategies modern design, offering valuable insights for efficient, climate-responsive planning minimises reliance mechanical systems. re-evaluating indigenous strategies, advocates an integrated approach merges local knowledge sustainability practices, fostering resilience design varied contexts.

Language: Английский

Citations

0