A review of the Digital Twin technology for fault detection in buildings

Autor: Haidar Hosamo Hosamo, Henrik Kofoed Nielsen, Ammar Njeeb Alnmr, Paul Ragnar Svennevig, Kjeld Svidt

Publikováno v: Frontiers in Built Environment, Vol 8 (2022)

This study aims to evaluate the utilization of technology known as Digital Twin for fault detection in buildings. The strategy consisted of studying existing applications, difficulties, and possibilities that come with it. The Digital Twin technology

Externí odkaz: https://doaj.org/article/45a369693917499c9cfc41113179bbb1

Improving building occupant comfort through a digital twin approach:A Bayesian network model and predictive maintenance method

Autor: Haidar Hosamo Hosamo, Henrik Kofoed Nielsen, Dimitrios Kraniotis, Paul Ragnar Svennevig, Kjeld Svidt

Publikováno v: Hosamo, H H, Nielsen, H K, Kraniotis, D, Svennevig, P R & Svidt, K 2023, ' Improving building occupant comfort through a digital twin approach : A Bayesian network model and predictive maintenance method ', Energy and Buildings, vol. 288, 112992 . https://doi.org/10.1016/j.enbuild.2023.112992

This study introduces a Bayesian network model to evaluate the comfort levels of occupants of two non-residential Norwegian buildings based on data collected from satisfaction surveys and building performance parameters. A Digital Twin approach is pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a7eb5d531980fe0439a7c7d076d7076
https://vbn.aau.dk/da/publications/db4593fc-a19f-4f31-8ee3-739dd725f9fa

Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings

Autor: Haidar Hosamo Hosamo, Henrik Kofoed Nielsen, Dimitrios Kraniotis, Paul Ragnar Svennevig, Kjeld Svidt

Publikováno v: Hosamo, H H, Nielsen, H K, Kraniotis, D, Svennevig, P R & Svidt, K 2023, ' Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian buildings ', Energy and Buildings, vol. 281, 112732 . https://doi.org/10.1016/j.enbuild.2022.112732
Energy and Buildings

Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability, or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort is evaluated using a probabilistic model based on Bayesian n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e7e79b46102a78e8e22cd896bf42157
https://vbn.aau.dk/da/publications/7afd35be-3f95-4f0f-8abb-8d364f2e9105

Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA

Autor: Haidar Hosamo, Mohsen Hosamo Hosamo, Henrik Kofoed Nielsen, Paul Ragnar Svennevig, Kjeld Svidt

Publikováno v: Hosamo, H, Hosamo, M H, Nielsen, H K, Svennevig, P R & Svidt, K 2022, ' Digital Twin of HVAC system (HVACDT) for multiobjective optimization of energy consumption and thermal comfort based on BIM framework with ANN-MOGA ', Advances in Building Energy Research . https://doi.org/10.1080/17512549.2022.2136240
Advances in Building Energy Research

This study proposes a novel Digital Twin framework of heating, ventilation, and air conditioning (HVACDT) system to reduce energy consumption while increasing thermal comfort. The framework is developed to help the facility managers better understand

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b15f8f95988852f7bda85d98aea8475
https://vbn.aau.dk/da/publications/ccbcf0f0-89b9-4374-8857-f97e6a8cb7df

A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics

Autor: Haidar Hosamo Hosamo, Paul Ragnar Svennevig, Kjeld Svidt, Daguang Han, Henrik Kofoed Nielsen

Publikováno v: Energy and Buildings
Hosamo, H, Svennevig, P R, Svidt, K, Han, D & Nielsen, H K 2022, ' A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics ', Energy and Buildings, vol. 261, 111988 . https://doi.org/10.1016/j.enbuild.2022.111988

The building industry consumes the most energy globally, making it a priority in energy efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the heart of buildings. Stable air handling unit (AHU) functioning is vit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cea6698218c357770a2ff432055ea5fb
https://hdl.handle.net/11250/3062826