Zobrazeno 1 - 10
of 1 365
pro vyhledávání: '"Building performance simulation"'
Publikováno v:
Thermo, Vol 4, Iss 1, Pp 100-139 (2024)
Given the climate change in recent decades and the ever-increasing energy consumption in the building sector, research is widely focused on the green revolution and ecological transition of buildings. In this regard, artificial intelligence can be a
Externí odkaz:
https://doaj.org/article/461257bab2ad4c308338e05aa623964d
Publikováno v:
Energies, Vol 17, Iss 17, p 4400 (2024)
Urban-Building Energy Modelling (UBEM) tools play a crucial role in analysing and optimizing energy use within cities. Among the available approaches, the bottom-up physics-based one is the most versatile for urban development and management applicat
Externí odkaz:
https://doaj.org/article/e807dc1e1c5849789eca4f5cb8a42d9f
Publikováno v:
Developments in the Built Environment, Vol 17, Iss , Pp 100363- (2024)
Energy scarcity and environmental damage necessitates efficient design, which requires significant information from different sources. As decisions affecting energy performance are made at early stages based on minimal information, support tools for
Externí odkaz:
https://doaj.org/article/05b80a3058894486a25a7251ca6a9c65
Publikováno v:
Energy Reports, Vol 10, Iss , Pp 3039-3053 (2023)
Research has shown that glazed buildings can have higher energy use and are more prone to overheating than other types of buildings. However, few studies have explored the performance of glazed buildings in cold climates. This article aims to evaluat
Externí odkaz:
https://doaj.org/article/135785e07d324bf28ae6f7e31ee30965
Akademický článek
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Autor:
Islam Abohela, Raveendran Sundararajan
Publikováno v:
Atmosphere, Vol 15, Iss 9, p 1049 (2024)
Due to the complex nature of the built environment, urban wind flow is unpredictable and characterised by high levels of turbulence and low mean wind speed. Yet, there is a potential for harnessing urban wind power by carefully integrating wind turbi
Externí odkaz:
https://doaj.org/article/b1e9702b10ac4f498693f584ee321a7d
Autor:
Matteo Borrotti
Publikováno v:
Energies, Vol 17, Iss 17, p 4348 (2024)
Building Performance Simulation extensively uses statistical learning techniques for quicker insights and improved accessibility. These techniques help understand the relationship between input variables and the desired outputs, and they can predict
Externí odkaz:
https://doaj.org/article/6d33662337e24b41be5239021b645e5b
Publikováno v:
Buildings, Vol 14, Iss 8, p 2568 (2024)
Representative weather data are fundamental to characterizing a place and determining ideal design approaches. This is particularly important for large countries like Brazil, whose extension and geographical position contribute to defining diverse cl
Externí odkaz:
https://doaj.org/article/ab6f20ac6d944d188f974a8b81df7cb2
Publikováno v:
Buildings, Vol 14, Iss 7, p 1911 (2024)
The performance gap caused by occupant behaviour (OB) is one of the main challenges to the accuracy of building performance simulations (BPS) models. Calibration of BPS models has shown great improvements in tertiary and single residential buildings.
Externí odkaz:
https://doaj.org/article/a7842912d75541d1a48ae53a9b4a7c7a
Publikováno v:
Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-30 (2023)
Abstract One of the most crucial factors architects should consider in building energy performance design is the energy consumption of residential buildings, particularly in megacities such as Cairo. Oxman classifies that a five-paradigmatic design m
Externí odkaz:
https://doaj.org/article/bf4cae5bb4dd4a9aabf84b3336383257