Опубликована: Янв. 1, 2024
Язык: Английский
Buildings, Год журнала: 2024, Номер 14(6), С. 1566 - 1566
Опубликована: Май 28, 2024
In this study, we critically examine the potential of recycled construction materials, focusing on how these materials can significantly reduce greenhouse gas (GHG) emissions and energy usage in sector. By adopting an integrated approach that combines Life Cycle Assessment (LCA) Material Flow Analysis (MFA) within circular economy framework, thoroughly lifecycle environmental performance materials. Our findings reveal a promising future where incorporating lower GHG conserve energy. This underscores their crucial role advancing sustainable practices. Moreover, our study emphasizes need for robust regulatory frameworks technological innovations to enhance adoption environmentally responsible We encourage policymakers, industry stakeholders, academic community collaborate promote strategy building research contributes ongoing discussion construction, offering evidence-based insights inform policies initiatives improve stewardship industry. aligns with European Union’s objectives achieving climate-neutral cities by 2030 United Nations’ Sustainable Development Goals outlined completion 2030. Overall, paper dialogue providing fact-driven basis policy
Язык: Английский
Процитировано
22
Energy Sustainable Development/Energy for sustainable development, Год журнала: 2024, Номер 79, С. 101386 - 101386
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
16
Building and Environment, Год журнала: 2025, Номер unknown, С. 112705 - 112705
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2
Journal of Building Engineering, Год журнала: 2024, Номер 90, С. 109435 - 109435
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
9
Energy Sustainable Development/Energy for sustainable development, Год журнала: 2024, Номер 79, С. 101387 - 101387
Опубликована: Янв. 28, 2024
Язык: Английский
Процитировано
8
Sustainability, Год журнала: 2024, Номер 16(21), С. 9324 - 9324
Опубликована: Окт. 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.
Язык: Английский
Процитировано
8
Thermal Science and Engineering Progress, Год журнала: 2025, Номер unknown, С. 103564 - 103564
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
1
Smart and Sustainable Built Environment, Год журнала: 2024, Номер unknown
Опубликована: Апрель 5, 2024
Purpose Occupant behavior can lead to considerable uncertainties in thermal comfort and air quality within buildings. To tackle this challenge, the use of probabilistic controls simulate occupant has emerged as a potential solution. This study seeks analyze performance free-running households by examining adaptive CO2 concentration, both crucial variables indoor quality. The investigation environment dynamics caused occupants' behavior, especially after COVID-19 pandemic, became increasingly important. Specifically, it investigates 13 distinct window shading control strategies courtyard houses identify factors that prompt occupants interact with windows determine which approach effectively minimizes gap. Design/methodology/approach paper compares commonly used deterministic functions their effects on four zones surrounding courtyard. are differentiated facing utilizes energy management system (EMS) functionality EnergyPlus an algorithmic interface called Ladybug Tools. By modifying geometrical dimensions, orientation, window-to-wall ratio (WWR) operable fraction, total 465 cases analyzed effective scenarios. According literature, these were selected because significant impact occupants’ quality, addition natural ventilation flow rate. Additionally, Random Forest algorithm is employed estimate individual each scenario metrics, including operative temperature concentration. Findings findings confirmed algorithms reducing discomfort hours, reductions 56.7 41.1%, respectively. Deterministic resulted reduction 18.5%. Implementing led decrease 87.8% sensitivity analysis revealed outdoor exhibited strongest positive correlation while showing negative Furthermore, zone orientation length identified most influential design achieving desired outcomes. Research limitations/implications It’s important acknowledge limitations study. Firstly, circulation through central was not considered. Secondly, investigated scenarios may have different impacts air-conditioned buildings, when considering consumption. Thirdly, heavily relied simulation tools algorithms, limit its real-world applicability. accuracy simulations depends input data assumptions made models. Fourthly, case hypothetical nature be able compare implications. Lastly, comparative limited specific climate, restrict generalizability climates. Originality/value represents source uncertainty, particularly during early stages design. aims offer various based behavior. evaluates effectiveness validity proposed scenarios, providing valuable insights for decision-making.
Язык: Английский
Процитировано
4
Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106078 - 106078
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
4
Theoretical and Applied Climatology, Год журнала: 2024, Номер 155(4), С. 3313 - 3327
Опубликована: Янв. 3, 2024
Язык: Английский
Процитировано
3