
Energy and AI, Journal Year: 2025, Volume and Issue: unknown, P. 100508 - 100508
Published: March 1, 2025
Language: Английский
Energy and AI, Journal Year: 2025, Volume and Issue: unknown, P. 100508 - 100508
Published: March 1, 2025
Language: Английский
Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 89, P. 109354 - 109354
Published: April 18, 2024
Language: Английский
Citations
32Energy and Buildings, Journal Year: 2024, Volume and Issue: 315, P. 114289 - 114289
Published: May 17, 2024
Language: Английский
Citations
25Solar Energy, Journal Year: 2024, Volume and Issue: 270, P. 112388 - 112388
Published: Feb. 14, 2024
Language: Английский
Citations
22Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 300, P. 117984 - 117984
Published: Dec. 16, 2023
Language: Английский
Citations
29Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 199, P. 114466 - 114466
Published: May 11, 2024
Language: Английский
Citations
15Energy and Buildings, Journal Year: 2024, Volume and Issue: 307, P. 113949 - 113949
Published: Jan. 27, 2024
Language: Английский
Citations
14Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123665 - 123665
Published: June 13, 2024
Language: Английский
Citations
14Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 445, P. 141262 - 141262
Published: Feb. 16, 2024
The process of estimating the carbon footprint (CF) has become a key method for managing greenhouse gas (GHG) emissions, guiding strategies emission reduction and validating those strategies. Given complexity quantifying total lifecycle emissions in residential buildings, this study delves into assessing CF focusing on water electricity consumption two types buildings: mainly villas flats. This assessment was carried out Doha City, Qatar, using data from 2017 to 2020. employs Multi-Regional Input-Output Life Cycle Assessment (MRIO-LCA) model calculate convert these buildings. Further, various methods statistical spatial analysis including geographically weighted regression (GWR), Ordinary Least Squares (OLS), hotspot cold spot assessments. annual buildings are approximately 7 MtCO2 equivalent, with contributing about 83% total. Concurrently, average is around 0.06 predominantly attributed villas. findings highlight substantial impact structures, particularly villas, city's overall emissions. Furthermore, underscore significant especially Doha's revealing marked seasonal increase, during summer months notable spike reveals consistent clustering patterns across different seasons Elevated concentrated central, northern, northeastern regions, while spots eastern southern areas. Understanding settings crucial developing reduce enhance energy efficiency, address climate change. research helps inform targeted interventions more sustainable use, aligning broader environmental goals.
Language: Английский
Citations
13Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: April 27, 2024
Abstract The local climate zones (LCZs) classification system has emerged as a more refined method for assessing the urban heat island (UHI) effect. However, few researchers have conducted systematic critical reviews and summaries of research on LCZs, particularly regarding significant advancements this field in recent years. This paper aims to bridge gap scientific by systematically reviewing evolution, current status, future trends LCZs framework research. Additionally, it critically assesses impact climate-responsive planning design. findings study highlight several key points. First, challenge large-scale, efficient, accurate mapping persists issue Despite challenge, universality, simplicity, objectivity make promising tool wide range applications future, especially realm In conclusion, makes substantial contribution advancement advocates broader adoption foster sustainable development. Furthermore, offers valuable insights practitioners engaged field.
Language: Английский
Citations
10Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 4812 - 4823
Published: April 30, 2024
This study investigates the multifaceted interplay between carbon dioxide emissions, population dynamics, foreign direct investment (FDI), and renewable energy (RE) within unique context of Thailand. Amidst rapid economic growth urbanization, Thailand faces pressing environmental challenges, making it an ideal case for understanding complex relationships these variables. As a nation experiencing provides compelling The paper uses unrestricted random panel data method. Data is gathered from World Bank 2000 to 2022. research addresses several critical issues using mixed-methods approach drawing national statistical agencies databases. paper's primary objective explore how FDI, RE adoption influence emissions in rigorous analysis unveils key insights: positive correlation nuanced FDI across sectors, significant impact on reduction, particularly high-emission sectors. work contributes existing literature by offering novel findings policy recommendations tailored Thailand's challenges. By addressing identified issues, such as sector-specific patterns actionable insights policymakers striving balance with sustainability. Significantly, this manuscript advances field emphasizing need integrated policymaking highlighting potential driver reduction. study's originality lies its comprehensive intricate nexus socio-economic factors Thai context. In conclusion, underscores importance informed offers practical implications fostering sustainable development beyond. leveraging innovative presented manuscript, can navigate complexities stewardship while driving change towards greener more future.
Language: Английский
Citations
9