Zero Energy Building and Indoor Thermal

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality and Human Health".

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 7187

Special Issue Editors

Department of Architecture and Civil Eng., Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan
Interests: built environment; urban heat islands; building energy savings; building surface coating; solar radiation; air-conditioning heat loads; weather database
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Co-Guest Editor
Department of Civil, Construction and Environmental Engineering, Sapienza University of Rome, 00185 Rome, Italy
Interests: architectural engineering; building performances; regenerative design; stone materials; architectural heritage renovation; building information modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The journal Atmosphere is launching a Special Issue on the research topic of “Zero Energy Building and Indoor Thermal” and is inviting researchers from all world-leading universities and research institutions to contribute their research achievements in this research field.

The Special Issue aims to publish the articles related to “Energy-Efficient Technologies for Zero Energy Buildings” and “Related Indoor Thermal Comfort of Buildings”.

The Special Issue covers the following topics:

  1. Indoor thermal comfort;
  2. Effective use of daylight for energy conservation of buildings;
  3. Ventilation and indoor air quality (IAQ) of buildings;
  4. Utilization of green energy to buildings;
  5. Theoretical or numerical model of zero energy building;

Other research fields related to building energy savings and indoor thermal comfort.

Prof. Dr. Jihui Yuan
Prof. Dr. Marco Ferrero
Guest Editors

Manuscript Submission Information

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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. Atmosphere 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 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

  • zero energy building
  • indoor thermal comfort
  • lighting and acoustic
  • ventilation
  • indoor air quality
  • green energy
  • theoretical or numerical models

Published Papers (3 papers)

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Research

22 pages, 65908 KiB  
Article
Novel Integrated and Optimal Control of Indoor Environmental Devices for Thermal Comfort Using Double Deep Q-Network
by Sun-Ho Kim, Young-Ran Yoon, Jeong-Won Kim and Hyeun-Jun Moon
Atmosphere 2021, 12(5), 629; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12050629 - 14 May 2021
Cited by 6 | Viewed by 2306
Abstract
Maintaining a pleasant indoor environment with low energy consumption is important for healthy and comfortable living in buildings. In previous studies, we proposed the integrated comfort control (ICC) algorithm, which integrates several indoor environmental control devices, including an air conditioner, a ventilation system, [...] Read more.
Maintaining a pleasant indoor environment with low energy consumption is important for healthy and comfortable living in buildings. In previous studies, we proposed the integrated comfort control (ICC) algorithm, which integrates several indoor environmental control devices, including an air conditioner, a ventilation system, and a humidifier. The ICC algorithm is operated by simple on/off control to maintain indoor temperature and relative humidity within a defined comfort range. This simple control method can cause inefficient building operation because it does not reflect the changes in indoor–outdoor environmental conditions and the status of the control devices. To overcome this limitation, we suggest the artificial intelligence integrated comfort control (AI2CC) algorithm using a double deep Q-network(DDQN), which uses a data-driven approach to find the optimal control of several environmental control devices to maintain thermal comfort with low energy consumption. The suggested AI2CC showed a good ability to learn how to operate devices optimally to improve indoor thermal comfort while reducing energy consumption. Compared to the previous approach (ICC), the AI2CC reduced energy consumption by 14.8%, increased the comfort ratio by 6.4%, and decreased the time to reach the comfort zone by 54.1 min. Full article
(This article belongs to the Special Issue Zero Energy Building and Indoor Thermal)
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28 pages, 9049 KiB  
Article
Field Study on Nationality Differences in Adaptive Thermal Comfort of University Students in Dormitories during Summer in Japan
by Vanya Y. Draganova, Hiroki Yokose, Kazuyo Tsuzuki and Yuki Nabeshima
Atmosphere 2021, 12(5), 566; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12050566 - 28 Apr 2021
Cited by 8 | Viewed by 2327
Abstract
A summer field study was conducted in two university dormitories in the Tokai region of Central Japan. The study aimed at understanding the correlation between subjective thermal responses as well as whether nationality was affecting the responses. It was observed that nationality significantly [...] Read more.
A summer field study was conducted in two university dormitories in the Tokai region of Central Japan. The study aimed at understanding the correlation between subjective thermal responses as well as whether nationality was affecting the responses. It was observed that nationality significantly affected thermal sensitivity and preference. The occupants’ acceptance for thermal stress was invariably above 90%. Despite the high levels of humidity observed, the multiple regression model showed that only the indoor air temperature was significant for explaining the variability of thermal sensation for both Japanese and non-Japanese students. The highest probability of voting neutral for university students in dormitory buildings in the Tokai region of Japan was estimated within 24~26.5 °C (by probit analysis). Japanese students were more sensitive to their indoor environment as opposed to the international students. The adjusted linear regression coefficient yielded from the room-wise day-wise averages were 0.48/K and 0.35/K for Japanese sensitivity and international sensitivity, respectively. In our study, the Griffiths’ model of estimating comfort temperature (or thermal neutrality) showed weak predictability and notable differences from the actually voted comfort. The neutral and comfort temperature observed and estimated in the study remained invariably below the recommended temperature threshold for Japan in summer leading to believe that that threshold is worth reevaluating. Full article
(This article belongs to the Special Issue Zero Energy Building and Indoor Thermal)
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17 pages, 7391 KiB  
Article
Proposal to Refine Solar Radiation of Typical Meteorological Year Database and Evaluation on the Influence of Air-Conditioning Load
by Jihui Yuan, Kazuo Emura and Craig Farnham
Atmosphere 2021, 12(4), 524; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos12040524 - 20 Apr 2021
Cited by 4 | Viewed by 1920
Abstract
The Typical meteorological year (TMY) database is often used to calculate air-conditioning loads, and it directly affects the building energy savings design. Among four kinds of TMY databases in China—including Chinese Typical Year Weather (CTYW), International Weather for Energy Calculations (IWEC), Solar Wind [...] Read more.
The Typical meteorological year (TMY) database is often used to calculate air-conditioning loads, and it directly affects the building energy savings design. Among four kinds of TMY databases in China—including Chinese Typical Year Weather (CTYW), International Weather for Energy Calculations (IWEC), Solar Wind Energy Resource Assessment (SWERA) and Chinese Standard Weather Data (CSWD)—only CSWD is measures solar radiation, and it is most used in China. However, the solar radiation of CSWD is a measured daily value, and its hourly value is separated by models. It is found that the cloud ratio (diffuse solar radiation divided by global solar radiation) of CSWD is not realistic in months of May, June and July while compared to the other sets of TMY databases. In order to obtain a more accurate cloud ratio of CSWD for air-conditioning load calculation, this study aims to propose a method of refining the cloud ratio of CSWD in Shanghai, China, using observed solar radiation and the Perez model which is a separation model of high accuracy. In addition, the impact of cloud ratio on air-conditioning load has also been discussed in this paper. It is shown that the cloud ratio can yield a significant impact on the air conditioning load. Full article
(This article belongs to the Special Issue Zero Energy Building and Indoor Thermal)
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