Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.4
3.1
Journals
Buildings
Special Issues
AI and Data Analytics for Energy-Efficient and Healthy Buildings: 2nd...
share announcement

AI and Data Analytics for Energy-Efficient and Healthy Buildings: 2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Energy, Physics, Environment, and Systems".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 9154

Special Issue Editors

Dr. Chaoqun Zhuang

E-Mail Website
Guest Editor
Engineering Department, Cambridge University, Trumpington Street, Cambridge CB2 1PZ, UK
Interests: air conditioning systems; energy efficiency in buildings; AI and data analytics for the built environment
Special Issues, Collections and Topics in MDPI journals
Dr. Rui Guo

E-Mail Website
Guest Editor
Department of Civil Engineering, Faculty of Engineering Sciences, KU Leuven, 3000 Leuven, Belgium
Interests: building/district energy use modeling; indoor environment; building performance improvement; advanced control of building energy systems
Special Issues, Collections and Topics in MDPI journals
Dr. Chong Zhang

E-Mail Website
Guest Editor
School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: built environment; building envelope; building ventilation; smart buildings
Special Issues, Collections and Topics in MDPI journals
Dr. Yunran Min

E-Mail Website
Guest Editor
School of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China
Interests: hybrid air conditioning systems; indirect evaporative cooling; enhanced heat and mass transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Building designs, operations, and commissioning are being revolutionized, with an increased emphasis on healthier, smarter, and more efficient environments. With the increasing penetration of smart sensors, the increasing electrification of buildings, and overwhelming amounts of data, artificial intelligence (AI) and big data analytics have shown extraordinary potential for improving building performance; however, the actual performance of emerging technologies has not been fully tested due to the complex, interdependent, and time-dependent stochastic nature of building systems spanning various types, functions, eras, and climates. 

In the context of this Special Issue, paper submissions related to the application of AI and data analytics to the built environment are welcome, especially in the domains of smart buildings, smart urban planning, and smart cities. Topics of interest include, but are not limited to, the following: smart digital technology for energy conservation and healthy buildings; transfer learning for modeling, diagnosis, and optimization in smart buildings; smart urban planning and city resilience; probabilistic modeling and risk-based decision support for building energy systems; data-driven ensemble AI models for energy and infection risk forecasting; and big data analytics for building and facility management, etc.

The purpose of this Special Issue is to develop AI-based guidelines and protocols for built environments, responding better to carbon neutrality and climate change.

Dr. Chaoqun Zhuang
Dr. Rui Guo
Dr. Chong Zhang
Dr. Yunran Min
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. Buildings is an international peer-reviewed open access semimonthly 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 2600 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

  • energy-efficient and healthy buildings
  • AI and data analytics
  • data-driven modelling
  • smart digital technology
  • smart buildings
  • smart urban planning
  • smart cities
  • intelligent architecture

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Related Special Issue

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

29 pages, 15252 KiB  
Article
Multi-Domain Environmental Quality of Indoor Mixed-Use Open Spaces and Insights into Healthy Living—A Quarantine Hotel Case Study
by Han Wang and Wenjian Pan
Buildings 2024, 14(11), 3443; https://doi.org/10.3390/buildings14113443 - 29 Oct 2024
Viewed by 1098
Abstract
In the post-pandemic context, data-driven design interventions that can endow architectural spaces with mixed-use and open characteristics that are adaptable and environmentally resilient are increasingly important. Ubiquitous semi-public architecture, such as hotel buildings, plays a crucial role in public health emergencies. Many hotels [...] Read more.
In the post-pandemic context, data-driven design interventions that can endow architectural spaces with mixed-use and open characteristics that are adaptable and environmentally resilient are increasingly important. Ubiquitous semi-public architecture, such as hotel buildings, plays a crucial role in public health emergencies. Many hotels adopt mixed-use and open room spatial layouts, integrating diverse daily functions into a single tiny space, fostering flexible utilization and micro-scale space sharing; however, these also introduce potential health risks. This study offers a comprehensive evaluation of the indoor environmental quality (IEQ) of a hotel room space and discusses feasible intervention strategies for healthier renovation and rehabilitation. Taking a hotel in Shenzhen as a case, a multi-domain environmental assessment was conducted during the COVID-19 quarantine period in the summer of 2022. The study examines the health risks inherent in the hotel’s guest room and the varying patterns of IEQ factors across the hotel’s domains, including volatile organic compound concentrations, physical environmental parameters, and heat stress indices. The results illustrate diverse change trends in the chemical, physical, and heat stress factors present in the tested quarantined hotel room space throughout a typical summer day. Although most of the examined environmental factors meet local and global standards, some problems draw attention. In particular, the PM2.5 concentration was generally observed to be above the World Health Organization (WHO) air quality guideline (AQG) standards, and the interior lighting did not meet required standards most of the time. Moreover, correlation and multiple regression analyses uncover significant influence by physical environmental conditions on the concentrations of chemical pollutants in the hotel room. The study preliminarily identifies that higher relative humidity could lead to a lower concentration of CO2 while a higher PM2.5 concentration. Wet bulb globe temperature (WBGT) was observed to positively affect CO2 concentration. Further, the results suggest that even with relatively rigorous initial adjustment and re-renovation, multi-domain environmental quality in air-conditioned quarantine hotel rooms should be monitored and ameliorated from time to time. Overall, this study offers a scientific foundation for healthier upgrades of existing hotel buildings as well as provides insights into achieving environmental resilience in newly constructed hotel buildings for the post-pandemic era. Full article
(This article belongs to the Special Issue AI and Data Analytics for Energy-Efficient and Healthy Buildings: 2nd Edition)
►▼ Show Figures

Figure 1

Review

Jump to: Research

31 pages, 3777 KiB  
Review
IoT—A Promising Solution to Energy Management in Smart Buildings: A Systematic Review, Applications, Barriers, and Future Scope
by Mukilan Poyyamozhi, Balasubramanian Murugesan, Narayanamoorthi Rajamanickam, Mohammad Shorfuzzaman and Yasser Aboelmagd
Buildings 2024, 14(11), 3446; https://doi.org/10.3390/buildings14113446 - 29 Oct 2024
Cited by 1 | Viewed by 7605
Abstract
The use of Internet of Things (IoT) technology is crucial for improving energy efficiency in smart buildings, which could minimize global energy consumption and greenhouse gas emissions. IoT applications use numerous sensors to integrate diverse building systems, facilitating intelligent operations, real-time monitoring, and [...] Read more.
The use of Internet of Things (IoT) technology is crucial for improving energy efficiency in smart buildings, which could minimize global energy consumption and greenhouse gas emissions. IoT applications use numerous sensors to integrate diverse building systems, facilitating intelligent operations, real-time monitoring, and data-informed decision-making. This critical analysis of the features and adoption frameworks of IoT in smart buildings carefully investigates various applications that enhance energy management, operational efficiency, and occupant comfort. Research indicates that IoT technology may decrease energy consumption by as much as 30% and operating expenses by 20%. This paper provides a comprehensive review of significant obstacles to the use of IoT in smart buildings, including substantial initial expenditures (averaging 15% of project budgets), data security issues, and the complexity of system integration. Recommendations are offered to tackle these difficulties, emphasizing the need for established processes and improved coordination across stakeholders. The insights provided seek to influence future research initiatives and direct the academic community in construction engineering and management about the appropriate use of IoT technology in smart buildings. This study is a significant resource for academics and practitioners aiming to enhance the development and implementation of IoT solutions in the construction sector. Full article
(This article belongs to the Special Issue AI and Data Analytics for Energy-Efficient and Healthy Buildings: 2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop