Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Manav Mahan Singh"'
Autor:
Manav Mahan Singh, Ian F.C. Smith
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100293- (2023)
Machine learning (ML) supports energy-efficient design by quickly predicting the building performance at early stages. However, existing ML approaches cannot easily learn geometrical representations and their interactions with technical specification
Externí odkaz:
https://doaj.org/article/f281d6ed3ab0443f9abb58496b200a9f
Publikováno v:
Construction Economics and Building, Vol 17, Iss 4 (2017)
Advancements in the computing realm have assisted the Architecture, Engineering, and Construction (AEC) industry to progress significantly by automating several design tasks and activities. Building Information Modelling (BIM) authoring tools have pl
Externí odkaz:
https://doaj.org/article/cc231c570b7941e3aae1f2f85a0d7c4d
Publikováno v:
Energy and buildings : an international journal of research applied to energy efficiency in the built environment 277 (2022)
Energy and buildings : an international journal of research applied to energy efficiency in the built environment
Energy and buildings : an international journal of research applied to energy efficiency in the built environment
"What-if" questions are intuitively generated and commonly asked during the design process. Engineers and architects need to inherently conduct design decisions, progressing from one phase to another. They either use empirical domain experience, simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ec753942e7d93eeeb2747ee19f69b2e
https://mediatum.ub.tum.de/doc/1691123/document.pdf
https://mediatum.ub.tum.de/doc/1691123/document.pdf
Autor:
Manav Mahan Singh, Philipp Geyer
Publikováno v:
Building Simulation Conference Proceedings.
The energy-efficient building design requires building performance simulation (BPS) to compare multiple design options for their energy performance. However, at the early stage, BPS is often ignored, due to uncertainty, lack of details, and computati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ced8d8d219ed43017deb07297a7fba99
https://lirias.kuleuven.be/handle/123456789/662923
https://lirias.kuleuven.be/handle/123456789/662923
Autor:
Martina Schnellenbach-Held, Hannes Harter, André Borrmann, Philipp Geyer, Manav Mahan Singh, Jimmy Abualdenien, Ata Zahedi, Hannah Exner, Daniel Steiner, Markus König, Patricia Schneider-Marin, Werner Lang, Frank Petzold
The early stages of building design involve the consideration of different design variants and their assessment regarding various performance criteria including energy consumption and costs. During the design process, the involved experts from differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0981eaa724a766d1a95809589e52d6cb
https://mediatum.ub.tum.de/1616086
https://mediatum.ub.tum.de/1616086
Autor:
Philipp Geyer, Manav Mahan Singh
The concept of multi-Level-of-Development (multi-LOD) modelling represents a flexible approach of information management and compilation in building information modelling (BIM) on a set of consistent levels. From an energy perspective during early ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df47ffbdf68c21bee08ead7b9c67995a
https://lirias.kuleuven.be/handle/123456789/648476
https://lirias.kuleuven.be/handle/123456789/648476
Publikováno v:
Applied Energy. 304:117787
Collecting data for machine learning (ML) development is a resource-intensive task that necessitates identifying an efficient data collection approach. This study focuses on ML models that provide quick energy results by dramatically reducing computa
Publikováno v:
Energy and Buildings. 208:109635
During building design and especially in early stages, important decisions influencing the lifecycle-based energy demand of buildings are made. Life Cycle Energy Assessment (LCEA) is used to evaluate this energy demand already in early stages of desi