Building and Environment, Год журнала: 2024, Номер unknown, С. 112365 - 112365
Опубликована: Ноя. 1, 2024
Язык: Английский
Building and Environment, Год журнала: 2024, Номер unknown, С. 112365 - 112365
Опубликована: Ноя. 1, 2024
Язык: Английский
Building and Environment, Год журнала: 2024, Номер 264, С. 111922 - 111922
Опубликована: Авг. 8, 2024
Life Cycle Assessment is necessary for evaluating the environmental impacts of buildings throughout their life cycle, considering factors such as energy consumption, emissions, and resource utilization. However, Dynamic introduces a temporal dimension, acknowledging that building's performance evolves due to technological advancements, occupancy behavior, changing conditions. This paper reviews DLCA, focusing on uncertainties arising from parameter, scenario, model variability, emphasizes integration technologies like Building Information Modeling, Internet Things, machine learning enhance real-time data collection predictive analytics. An extensive review 430 papers, refined 180, reveals 55 % publications are in sciences, with significant contributions United Kingdom (27.8 %), France (24.1 China (18.1 %). Key findings include variations embodied greenhouse gas emissions materials aluminum dynamic aspects transportation impacts, which extend beyond traditional metrics operational efficiency over time. Uncertainties all LCA stages (A1 D) addressed, service life, water use, needs. Advanced methodologies, including proposed framework hybrid approach integrates process-based input-output methods, suggested comprehensiveness assessments. The monitoring analytics further improves adaptability precision models, emphasizing necessity continuous updates scenario analyses capture future conditions accurately. study paves way research aimed at mitigating major sources uncertainty, promoting more sustainable building practices, advancing field LCA.
Язык: Английский
Процитировано
15Applied Energy, Год журнала: 2024, Номер 368, С. 123461 - 123461
Опубликована: Май 25, 2024
Язык: Английский
Процитировано
6Applied Energy, Год журнала: 2024, Номер 363, С. 123042 - 123042
Опубликована: Март 22, 2024
Язык: Английский
Процитировано
5Опубликована: Май 3, 2024
To enable net zero sustainable thermal building energy this study develops an open-source house model to couple solar photovoltaic (PV) and heat pumps (HP) for grid-connected residential housing. The calculation of both space heating cooling loads the selection HP is accomplished with a validated Python air-source pumps. capacity PV required supply HPs calculated using System Advisor Model integrated model. Self-sufficiency self-consumption imported/exported grid case are provided, which shows that simulations based on monthly load profile have significant reduction 43% sent to/from compared detailed hourly simulation increase from 30% 60% self-sufficiency. These results show importance more granular modeling also indicate mismatches generation datasets. back-calculation sizing algorithm combined presented in exhibited robust performance. approach can be used accelerate electrification offset use fossil fuels northern climates.
Язык: Английский
Процитировано
4Energy and Buildings, Год журнала: 2024, Номер 323, С. 114755 - 114755
Опубликована: Сен. 6, 2024
Язык: Английский
Процитировано
4Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126229 - 126229
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Journal of Building Engineering, Год журнала: 2025, Номер unknown, С. 112659 - 112659
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Environmental Challenges, Год журнала: 2024, Номер 15, С. 100914 - 100914
Опубликована: Апрель 1, 2024
Schools play a significant role in social development which is one of the three major pillars sustainable development. are also hub to promote practices, and hence, it imperative measure actual energy performance school buildings. This research was designed quantify consumption public buildings West Bank Palestine establish baseline for Methodologically, historical representative random sample consisting 103 schools statistically analysed. The results show that average annual 10,368 kilowatt-hour (kWh), while use intensity around 8.35 kWh/m2/year, 35.44 kWh/student/year. presented this not surprisingly low due fact heavily determined by heating, ventilation, air conditioning (HVAC) systems often do exist Bank. first provide empirical statistical evidence about amount consumed Bank, as well present schools. can be used an industry benchmark policy decision-makers assess green schools' which, besides reducing negative impacts on environment, have potential improve health, productivity and, education environment.
Язык: Английский
Процитировано
3Energy and Buildings, Год журнала: 2023, Номер 299, С. 113595 - 113595
Опубликована: Сен. 29, 2023
Язык: Английский
Процитировано
8Energy, Год журнала: 2023, Номер 290, С. 130202 - 130202
Опубликована: Дек. 29, 2023
Язык: Английский
Процитировано
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