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Advances in Research and Sustainable Applications of Energy—Related Occupant Behavior...
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Advances in Research and Sustainable Applications of Energy—Related Occupant Behavior in Buildings

A topical collection in Sustainability (ISSN 2071-1050). This collection belongs to the section "Energy Sustainability".

Viewed by 10606

Editors

Prof. Dr. Chun-Qing Li

E-Mail Website
Guest Editor
School of Engineering, RMIT University, Melbourne 3001, Australia
Interests: life cycle assessment; risk-cost optimization; sustainable building energy efficiency
Dr. Yaolin Lin

E-Mail Website
Guest Editor
School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: thermal comfort; HVAC system control; sustainable building energy efficiency
Special Issues, Collections and Topics in MDPI journals
Dr. Wei Yang

E-Mail Website
Guest Editor
Faculty of Architecture, Building and Planning, The University of Melbourne, Melbourne 3010, Australia
Interests: thermal comfort; building energy management; sustainable building energy efficiency
Special Issues, Collections and Topics in MDPI journals

Topical Collection Information

Dear Colleagues,

Occuppant behavior has a great impact on building energy consumption and peak energy demand. Different occupant behaviors could result in differences of 20% in annual energy consumption and of 40% in peak daily energy demand. Therefore, proper prediction of occupant behavior and management of the energy consumption equipment are very important for green house gas reduction and sustainable development. Today, advancements in smart sensing technology, data ming approaches, and internet of things have provided new ways for the prediction and management of occupant behavior .

This Special Issue aims to present the state of the art and current trends in research on energy-related behaviors of buildings’ occupants, including related sustainable applications. Original experimental studies, works on computer models, and reviews on all aspects of occupant behavior’s modeling, sensing, and management are welcome.

Potential topics of interest include but are not limited to:

  • Smart sensors in occupant behavior research
  • Sustainable occupant behavior model development
  • Data mining and machine learning approaches applied to occupant behavior
  • Building energy management based on occupant behavior
  • Internet of things and occupant behavior
  • Impact of COVID-19 on occupant behavior

Prof. Dr. Chun-Qing Li
Dr. Yaolin Lin
Dr. Wei Yang
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 collection 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. Sustainability 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 2400 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

  • sustainable occupant behavior
  • energy efficiency 
  • machine learning
  • internet of things
  • computer model
  • experimental studies

Published Papers (4 papers)

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2022

Jump to: 2021

15 pages, 3544 KiB  
Article
Thermal Perception and Physiological Responses under Different Protection States in Indoor Crowded Spaces during the COVID-19 Pandemic in Summer
by Tao Liu, Xiaofang Shan, Qinli Deng, Zeng Zhou, Guang Yang, Jue Wang and Zhigang Ren
Sustainability 2022, 14(9), 5477; https://doi.org/10.3390/su14095477 - 3 May 2022
Cited by 8 | Viewed by 2017
Abstract
Currently, people in crowded indoor spaces are required to wear a variety of personal protective equipment to curb the spread of COVID-19. This study aimed to investigate the effects of wearing four types of personal protective equipment (unprotected, wearing masks, wearing face shield [...] Read more.
Currently, people in crowded indoor spaces are required to wear a variety of personal protective equipment to curb the spread of COVID-19. This study aimed to investigate the effects of wearing four types of personal protective equipment (unprotected, wearing masks, wearing face shield and wearing medical protective clothing) on human thermal perception and physiological responses in indoor crowded spaces in summer. The experiment was conducted in a climate chamber designed to simulate the indoor crowded spaces. Environmental parameters of climate chamber (air temperature, relative humidity and wind speed), physiological parameters of subjects (wrist skin temperature and pulse rate), and subjective perceptions (thermal sensation and thermal comfort) were collected during the experiment. The experimental results showed that medical protective clothing has the most obvious blocking effect on heat exchange between human and environment. Thermal sensation in state 4 (wearing medical protective clothing) was significantly (p < 0.05) higher than that in other states. The study of physiological parameters showed that the wrist skin temperature and pulse rate under different protection states increased with the increase of room temperature. Through regression analysis, the thermal sensation estimation model of protective personnel in indoor crowded spaces based on wrist skin temperature and pulse rate was established. The adjusted R2 and RMSE of all models were above 82% and less than 1, indicating that the established thermal sensation model had a good prediction effect. Full article
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2021

Jump to: 2022

15 pages, 2606 KiB  
Article
A Field Study on Thermal Comfort in Multi-Storey Residential Buildings in the Karst Area of Guilin
by Xinzhi Gong, Qinglin Meng and Yilei Yu
Sustainability 2021, 13(22), 12764; https://doi.org/10.3390/su132212764 - 18 Nov 2021
Cited by 8 | Viewed by 2109
Abstract
It is important to consider reducing energy use while improving occupants’ indoor thermal comfort. The actual thermal comfort needs and demands should be considered to determine the indoor thermal environment design. In previous studies, research has not been carried out on thermal comfort [...] Read more.
It is important to consider reducing energy use while improving occupants’ indoor thermal comfort. The actual thermal comfort needs and demands should be considered to determine the indoor thermal environment design. In previous studies, research has not been carried out on thermal comfort in karst areas. Thus, a long-term field investigation was carried out on multi-storey residential buildings in the karst area of Guilin city centre during summer (from August 2019 to September 2019) and winter (from December 2019 to January 2020). In this study, the indoor thermal environments of three categories of dwellings were analysed. A total of 77 residential buildings with 144 households were randomly selected, and 223 occupants from 18 to 80 years old participated. A total of 414 effective questionnaires were collected from the subjects. The results show that there was an obvious conflict between the predicted mean vote (PMV) and the thermal sensation vote (TSV). The neutrality temperatures calculated by the regression method were 24.2 °C in summer and 16.2 °C in winter. The thermal comfort range was observed at operative temperatures of 20.9–27.5 °C in summer and 12.2–20.1 °C in winter. The desired thermal sensation for people in the Guilin karst area was not always reflected in the thermal neutrality range. A preference for warmness was identified in the survey. Full article
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12 pages, 2470 KiB  
Article
Analysis of Energy Consumption of the Lyophilizer System Using Solar Absorption Refrigeration
by Hong Zhang, Yun Guo and Yaolin Lin
Sustainability 2021, 13(21), 12063; https://doi.org/10.3390/su132112063 - 1 Nov 2021
Cited by 2 | Viewed by 2414
Abstract
To design a lyophilizer plant in Guangzhou, the author of this paper used a solar energy absorption refrigeration system and a waste heat of solar absorption refrigeration system. Using Trnsys software, the simulation results show that the solar assurance rate of 74.96% on [...] Read more.
To design a lyophilizer plant in Guangzhou, the author of this paper used a solar energy absorption refrigeration system and a waste heat of solar absorption refrigeration system. Using Trnsys software, the simulation results show that the solar assurance rate of 74.96% on July 28th can save coal quantity of about 236.8 kg, a solar assurance rate of 53.48% in July can save coal quantity of about 4790.9 kg, and an annual solar assurance rate of 39.06% can save about 40657.1 kg, and each have good environmental benefits. Full article
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19 pages, 2778 KiB  
Article
Parametric Study on Residential Passive House Building in Different Chinese Climate Zones
by Xing Li, Qinli Deng, Zhigang Ren, Xiaofang Shan and Guang Yang
Sustainability 2021, 13(8), 4416; https://doi.org/10.3390/su13084416 - 15 Apr 2021
Cited by 7 | Viewed by 2567
Abstract
With the increasing of building energy consumptions, the related issues of energy crisis and environmental pollution become more and more prominent. As an effective energy-saving technology, the passive house (PH) has been widely applied in China to reduce the building energy utilization. However, [...] Read more.
With the increasing of building energy consumptions, the related issues of energy crisis and environmental pollution become more and more prominent. As an effective energy-saving technology, the passive house (PH) has been widely applied in China to reduce the building energy utilization. However, the design and application of PH vary with different climate conditions. Therefore, it is significant to conduct the parameterization of PH and propose a suitable design zoning of PH in China. In our study, a comprehensive feasibility analysis of the implementation of PH is performed, which chooses 31 representative cities covering 5 climatic regions. The sensitivity analysis firstly filters the key parameters that heavily affect energy consumption. The results indicate that the key parameters include external wall heat transfer coefficient (WU), basement ceiling heat transfer coefficient (BCU), solar heat gain coefficient (SHGC), glass G value (UG), heat recovery efficiency (HERE) and humidity recovery efficiency (HURE). Then, with the multiple regression approach, the values of key parameters are optimized. Based on the determined values of sensitive parameters, the design zoning of PH in China is finally proposed, which can guide the design of PH as well as enhance the application of PH in China. Full article
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