Indoor transmission of SARS‐CoV‐2

Indoor Air, Journal Year: 2020, Volume and Issue: 31(3), P. 639 - 645

Published: Nov. 1, 2020

It is essential to understand where and how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmitted. Case reports were extracted from the local Municipal Health Commissions of 320 prefectural municipalities in China (not including Hubei Province). We identified all outbreaks involving three or more cases reviewed major characteristics enclosed spaces which reported their associated indoor environmental aspects. Three hundred eighteen with identified, comprising a total 1245 confirmed 120 cities. Among outbreaks, 53.8% involved cases, 26.4% four only 1.6% ten cases. Home-based dominant category (254 318 outbreaks; 79.9%), followed by transport-based (108; 34.0%), many occurred than one venue. All environments, confirm that sharing infected persons SARS-CoV-2 infection risk.

Language: Английский

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A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings

Energy and Buildings, Journal Year: 2020, Volume and Issue: 223, P. 110159 - 110159

Published: May 22, 2020

Language: Английский

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Indoor transmission of SARS-CoV-2

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: April 7, 2020

Abstract Background By early April 2020, the COVID-19 pandemic had infected nearly one million people and spread to all countries worldwide. It is essential understand where how SARS-CoV-2 transmitted. Methods Case reports were extracted from local Municipal Health Commissions of 320 prefectural cities (municipalities) in China, not including Hubei province, between 4 January 11 February 2020. We identified outbreaks involving three or more cases reviewed major characteristics enclosed spaces which reported associated indoor environmental issues. Results Three hundred eighteen with identified, 1245 confirmed 120 cities. divided venues occurred into six categories: homes, transport, food, entertainment, shopping, miscellaneous. Among outbreaks, 53·8% involved cases, 26·4% four only 1·6% ten cases. Home dominant category (254 318 outbreaks; 79·9%), followed by transport (108; 34·0%; note that many than venue category). Most home five a single outbreak an outdoor environment, two Conclusions All confirms sharing space infection risk. Funding The work was supported Research Grants Council Hong (no 17202719, C7025-16G), National Natural Science Foundation China 41977370).

Language: Английский

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

Energy and Buildings, Journal Year: 2023, Volume and Issue: 288, P. 112992 - 112992

Published: March 23, 2023

This study introduces a Bayesian network model to evaluate the comfort levels of occupants two non-residential Norwegian buildings based on data collected from satisfaction surveys and building performance parameters. A Digital Twin approach is proposed integrate information modeling (BIM) with real-time sensor data, occupant feedback, probabilistic detect predict HVAC issues that may impact comfort. The also uses 200000 points as historical various sensors understand previous systems' behavior. presents new methods for using BIM visualization platform predictive maintenance identify address problems in system. For maintenance, nine machine learning algorithms were evaluated metrics such ROC, accuracy, F1-score, precision, recall, where Extreme Gradient Boosting (XGB) was best algorithm prediction. XGB average 2.5% more accurate than Multi-Layer Perceptron (MLP), up 5% other models. Random Forest around 96% faster XGBoost while being relatively easier implement. paper novel method utilizes several standards determine remaining useful life HVAC, leading potential increase its lifetime by at least 10% resulting significant cost savings. result shows most important factors affect are poor air quality, lack natural light, uncomfortable temperature. To challenge applying these wide range buildings, proposes framework ontology graphs different systems, including FM, CMMS, BMS, BIM. study's results provide insight into influence comfort, help expedite identifying equipment malfunctions point towards solutions, sustainable energy-efficient buildings.

Language: Английский

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Green energy innovation initiatives for environmental sustainability: current state and future research directions

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(22), P. 31752 - 31770

Published: April 24, 2024

Language: Английский

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The role and contribution of green buildings on sustainable development goals

Building and Environment, Journal Year: 2020, Volume and Issue: 185, P. 107091 - 107091

Published: Aug. 12, 2020

Language: Английский

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Visualized analysis of global green buildings: Development, barriers and future directions

Journal of Cleaner Production, Journal Year: 2019, Volume and Issue: 245, P. 118775 - 118775

Published: Oct. 10, 2019

Language: Английский

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A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria

Journal of Building Engineering, Journal Year: 2019, Volume and Issue: 24, P. 100753 - 100753

Published: April 4, 2019

Language: Английский

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Building-level and stock-level in contrast: A literature review of the energy performance of buildings during the operational stage

Energy and Buildings, Journal Year: 2020, Volume and Issue: 211, P. 109810 - 109810

Published: Jan. 21, 2020

Language: Английский

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Assessment of sustainability indicators for green building manufacturing using fuzzy multi-criteria decision making approach

Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 277, P. 122905 - 122905

Published: July 15, 2020

Language: Английский

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