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Indoor Air Quality and Thermal Comfort Enhancement in Large-Scale Indoor Spaces: Monitoring, Modeling, Controls

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Science and Engineering".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 2284

Special Issue Editors

School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
Interests: HVAC system control and optimization; demand control ventilation; pollutant prevention and control; CFD simulation
School of Architecture, Southeast University, Nanjing 210096, China
Interests: urban building energy efficiency; occupancy studies; urban building environment monitoring
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Life Cycle Management Laboratory, School of Engineering, University of British Columbia (Okanagan Campus), Kelowna, BC V1V 1V7, Canada
Interests: intelligent building and building integration technology; design and simulation of energy management systems; advanced control for HVAC application; BIM
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Large-scale public indoor spaces, such as shopping malls, sports centers, railway stations, mobile cabins (shelters) and hospitals, have unique features of airflow inside the space being dominated by supply air diffusers, partially or randomly distributed occupants, and heat transfer through building enclosures. This results in inhomogeneous indoor parameter distributions in terms of temperature, air speed, pollutants and so on, both in the horizontal and vertical direction. However, traditional ventilation control strategies are incapable of dealing with this problem properly. At the cost of massive energy use, they attempt to maintain overall indoor thermal comfort. Thus, developing sophisticated and practical technologies to precisely improve the indoor environment is imperative, especially during the COVID-19 era. It is currently complicated and labor-intensive to enhance such an indoor environment by certain regular technical means. It requires collaboration from various engineering disciplines and cross-disciplines, including heating ventilating and air conditioning (HVAC) engineering, control engineering, electrical engineering, computer science and technology. Thus, this Special Issue focus on indoor environment improvement tactics for large-scale indoor spaces. In particular, it aims to reduce energy consumption and contaminant transport. Practical and innovative techniques and interdisciplinary research related to monitoring, modelling and controlling indoor spaces are welcome.

This Special Issue mainly covers original research studies. Potential topics include, but are not limited to:

  1. Indoor environmental dynamic monitoring techniques (IAQ, thermal comfort, health, occupancy);
  2. Computer science technology (digital twin technology, SLAM technology);
  3. Ventilation control strategies and algorithms;
  4. Modelling methodology of large-scale indoor space;
  5. Indoor air quality, thermal comfort and energy nexus;
  6. Airflow design and optimization;
  7. Adaptive and robustness control algorithm optimization;
  8. Prevention and protected ventilation control;
  9. Energy-efficient technology in large-scale indoor spaces;
  10. AI and IoT technology in large-scale indoor spaces.

Dr. Pei Zhou
Dr. Wei Wang
Dr. Syed Asad Hussain
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • large-scale indoor space
  • monitoring
  • modelling
  • control
  • indoor air quality
  • thermal comfort
  • ventilation
  • energy-saving technology

Published Papers (1 paper)

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Research

21 pages, 6050 KiB  
Article
Monitoring and Assessment of Indoor Environmental Conditions in Educational Building Using Building Information Modelling Methodology
by Antonio J. Aguilar, María L. de la Hoz-Torres, Diego P. Ruiz and Mª Dolores Martínez-Aires
Int. J. Environ. Res. Public Health 2022, 19(21), 13756; https://doi.org/10.3390/ijerph192113756 - 22 Oct 2022
Cited by 6 | Viewed by 1829
Abstract
Managing indoor environmental quality (IEQ) is a challenge in educational buildings in the wake of the COVID-19 pandemic. Adequate indoor air quality is essential to ensure that indoor spaces are safe for students and teachers. In fact, poor IEQ can affect academic performance [...] Read more.
Managing indoor environmental quality (IEQ) is a challenge in educational buildings in the wake of the COVID-19 pandemic. Adequate indoor air quality is essential to ensure that indoor spaces are safe for students and teachers. In fact, poor IEQ can affect academic performance and student comfort. This study proposes a framework for integrating occupants’ feedback into the building information modelling (BIM) methodology to assess indoor environmental conditions (thermal, acoustic and lighting) and the individual airborne virus transmission risk during teaching activities. The information contained in the parametric 3D BIM model and the algorithmic environment of Dynamo were used to develop the framework. The IEQ evaluation is based on sensor monitoring and a daily schedule, so the results show real problems of occupants’ dissatisfaction. The output of the framework shows in which range the indoor environmental variables were (optimal, acceptable and unacceptable) and the probability of infection during each lecture class (whether or not 1% is exceeded). A case study was proposed to illustrate its application and validate it. The outcomes provide key information to support the decision-making process for managing IEQ and controlling individual airborne virus transmission risks. Long-term application could provide data that support the management of ventilation strategies and protocol redesign. Full article
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