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Adaptive Thermal Comfort and Energy Use in Buildings

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 19941

Special Issue Editors


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Guest Editor
Faculty of Environmental Studies, Tokyo City University, Yokohama, Japan
Interests: adaptive thermal comfort; occupant behaviour; thermal environment; energy saving; traditional vernacular building
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Guest Editor
Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Slovenia
Interests: thermal comfort; occupant behavior and built environment interaction; bioclimatic building design and sustainability; building energy simulation; energy performance of building envelopes

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Guest Editor
Sheffield School of Architecture, The University of Sheffield, Sheffield S1 3JD, UK
Interests: adaptive thermal comfort; personal comfort systems; building energy; user behaviour; thermal control

Special Issue Information

Dear Colleagues,

Buildings are usually designed and constructed to address multiple objectives such as shelter, comfort, productivity, security, socioeconomic status and sociocultural status. With the advent of air-conditioning technology in the early 20th century, a new dimension was added to building design. However, soon after that and in the latter part of the 20th century, the global economic recession and heavy dependency of the global economy on fossil fuels led to global warming, and the associated climate change has forced the human race to think otherwise. The problem is compounded manyfold because a human spends almost 90% of their life in different types of built environments.

The building sector is considered one of the highest energy- and resource-intensive sectors, responsible for almost 40% of the world's primary energy use. The building sector also has the highest carbon footprint. With the increasing awareness about climate change and environmental concerns, significant effort has been made through scientific and policy initiatives to reduce the energy intensity and carbon footprint of buildings.

Since humans spend 90% of their time in built environments, indoor environment quality plays an important role in human thermal comfort, health and productivity. Therefore, until the middle of the 20th century, almost the entire focus of building design was maximizing the above three factors. This led to an increase in energy use in buildings. However, global warming and environmental awareness have forced the scientific community to look for ways to reduce energy use in buildings, starting from the design stages.

The thermal adaptation of buildings and people is important for energy-saving building design and there are many different approaches available for reducing the energy use and carbon footprint of buildings. These approaches can be broadly classified as technological interventions (such as intelligent and smart systems, smart building materials, smart sensors, etc.), design interventions (such as low-energy architecture, green buildings, zero- and net-zero-energy buildings, etc.) and functioning interventions (automated façade and window-operation control, maximizing the use of buildings under mixed-mode operation, etc.). We also need to consider the behavioral, physiological and psychological adaptations of occupants in building design.

All the abovementioned interventions and approaches lack conclusive and wide-scale data-backed research conclusions, which sheds light on the complex relationship that exists between indoor thermal comfort and energy use in buildings. A conventional wisdom that persists is that the higher the thermal comfort, the higher the energy use. However, in the context of the present global environmental situation, we need to maximize thermal comfort in the built environment, on the one hand, and minimize energy use in buildings, on the other hand. Due the relevance of the topic in the present context, we invite authors to submit their unpublished and high-impact research to be published in this Special Issue.

The articles submitted for inclusion in this Special Issue must have core research issues relating to “Thermal Comfort and Energy Use in Buildings”. The articles can be from the following areas:

  • The thermal performance of buildings;
  • Climate-adaptive building design;
  • Adaptive building facades;
  • Building energy efficiency;
  • Energy use in buildings;
  • Adaptive thermal comfort;
  • Various occupant behaviors;
  • Personal comfort system;
  • The application of big data management;
  • The application of artificial intelligence;
  • Occupant-centric approaches in building performance;
  • The impact of climate change on thermal comfort;
  • The impact of climate change on building energy performance;
  • Total indoor environment quality issues and impacts;
  • Case studies on the above topics.

Prof. Dr. Hom Bahadur Rijal
Dr. Manoj Kumar Singh
Dr. Sally Shahzad
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. Energies 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.

Published Papers (8 papers)

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Research

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21 pages, 9949 KiB  
Article
Hygrothermal Performance of the Hemp Concrete Building Envelope
by Aguerata Kaboré, Wahid Maref and Claudiane M. Ouellet-Plamondon
Energies 2024, 17(7), 1740; https://doi.org/10.3390/en17071740 - 4 Apr 2024
Viewed by 736
Abstract
The search for environmentally friendly and low-carbon-footprint construction materials continues progressively. Researchers are now interested in innovative materials that connect with the principles of sustainable construction, and materials such as hemp concrete prove to be promising. This article presents the results of a [...] Read more.
The search for environmentally friendly and low-carbon-footprint construction materials continues progressively. Researchers are now interested in innovative materials that connect with the principles of sustainable construction, and materials such as hemp concrete prove to be promising. This article presents the results of a study that aimed to evaluate the hygrothermal performance of hemp concrete integrated into the building envelope using the hygrothermal tool WUFI Pro 6.2. The simulation model was compared and verified with existing models before its utilization for this study. The results of this verification were in good agreement, which gave us more confidence in its application for further parametric studies of building envelopes in hot climate zones. Three wall systems were simulated: (i) a wall system with hemp concrete, (ii) a compressed earth block wall, and (iii) a cement block wall. The most important variables used in the simulations were the hygrothermal properties of the materials or wall components and the incident solar radiation. The simulation results showed that hemp concrete has good thermal performance and temperature and humidity regulation capabilities of the building envelope. The interior surface temperatures of the hemp concrete walls were between 22.1 °C and 24.6 °C compared to the compressed earth block and cement block walls, where the surface temperatures were between 22.0 °C and 27 °C and between 21.2 °C and 28.7 °C, respectively, and between 23 °C and 45 °C for the exterior temperatures. These values remain the same with the increase in exterior temperatures for hemp concrete walls. In conclusion, hemp concrete could be a great alternative material for use in construction for hot climate zones. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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30 pages, 10698 KiB  
Article
Development of Adaptive Model and Occupant Behavior Model in Four Office Buildings in Nagasaki, Japan
by Kahori Genjo, Haruna Nakanishi, Momoka Oki, Hikaru Imagawa, Tomoko Uno, Teruyuki Saito, Hiroshi Takata, Kazuyo Tsuzuki, Takashi Nakaya, Daisaku Nishina, Kenichi Hasegawa, Taro Mori and Hom Bahadur Rijal
Energies 2023, 16(16), 6060; https://doi.org/10.3390/en16166060 - 18 Aug 2023
Cited by 1 | Viewed by 1214
Abstract
A field survey of indoor environmental measurements and questionnaires on thermal sensation, overall comfort, and behaviors was conducted in four office buildings in Japan by visiting each office every month over a duration of more than a year during the coronavirus disease 2019 [...] Read more.
A field survey of indoor environmental measurements and questionnaires on thermal sensation, overall comfort, and behaviors was conducted in four office buildings in Japan by visiting each office every month over a duration of more than a year during the coronavirus disease 2019 (COVID-19) pandemic. The indoor environment was measured concurrently. We obtained 1047 votes from office workers in their 20s to 60s. The regression and Griffiths’ methods were used to calculate the indoor comfort temperature. A logistic regression analysis was used to develop the occupant behavior model. Over 70% of the occupants found the indoor environment comfortable at a mean comfort temperature of 23.2 to 25.9 °C. Gender differences were observed in thermal sensation and overall comfort, but a gender difference was observed only in the cooling mode for the indoor comfort temperature. An adaptive model was developed for the office buildings in Nagasaki city to predict the indoor comfort temperature from the outdoor air temperature. The proportions of heating, cooling, and fan usage can be predicted from the outdoor air temperature using a logistic regression analysis. The adaptive model and occupant behavior model are useful for the indoor temperature control of the existing buildings and thermal simulation of the new building design. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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33 pages, 6512 KiB  
Article
Investigation on Summer Thermal Comfort and Passive Thermal Improvements in Naturally Ventilated Nepalese School Buildings
by Mishan Shrestha and Hom Bahadur Rijal
Energies 2023, 16(3), 1251; https://doi.org/10.3390/en16031251 - 24 Jan 2023
Cited by 11 | Viewed by 2254
Abstract
Students require a comfortable thermal environment for better academic learning and health in general. In Nepal, the majority of school buildings are constructed using local materials, but little consideration is provided to the thermal environment required for comfort. Therefore, this study demonstrates the [...] Read more.
Students require a comfortable thermal environment for better academic learning and health in general. In Nepal, the majority of school buildings are constructed using local materials, but little consideration is provided to the thermal environment required for comfort. Therefore, this study demonstrates the advantages of using passive design measures through a simulation that can be used either in the early stages or as a retrofit to determine how the building performs in terms of comfort and the thermal environment. First, the thermal environment of school buildings and thermal comfort of students were evaluated through field surveys. Subsequently, a simulation was performed to investigate the operative temperatures in the classroom of a school building in Kathmandu. DesignBuilder software was used to create the base model and the simulated operative temperature was validated using the measured globe temperature. Subsequently, passive strategies, such as natural ventilation, insulation, and thermal mass, were applied and analysed. The field survey showed that the indoor globe and outdoor air temperatures were correlated, and the students perceived a hotter environment and preferred a cooler environment. Within this context, the average comfort temperature was 26.9 °C. The simulation results showed that the operative temperature was reduced to below 27 °C with a maximum reduction of 3.3 °C due to the integrated design impact, which is within the comfortable limit required during school hours. This study helps to design Nepalese school buildings in a better way by considering passive design strategies during architectural design to make classrooms more thermally comfortable. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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15 pages, 3330 KiB  
Article
Virtual Battery Modeling of Air Conditioning Loads in the Presence of Unknown Heat Disturbances
by Seung-Jun Hahm, Ye-Eun Jang and Young-Jin Kim
Energies 2022, 15(24), 9354; https://doi.org/10.3390/en15249354 - 10 Dec 2022
Viewed by 1027
Abstract
Air conditioning loads (ACLs) are potential flexible resources that can provide various grid services to the power system. Recent studies have attempted to represent their flexibility using a virtual battery (VB) model for quantification, but the modeling process requires information on thermal parameters [...] Read more.
Air conditioning loads (ACLs) are potential flexible resources that can provide various grid services to the power system. Recent studies have attempted to represent their flexibility using a virtual battery (VB) model for quantification, but the modeling process requires information on thermal parameters and heat disturbances (e.g., solar irradiation and internal heat load) that are difficult to measure. In this paper, we present a new method that models a VB without prior knowledge of such information. First, we construct a thermal dynamic model of an individual ACL using historical input-output data. The linear regression model parameters are identified without using the measurements of disturbances. Second, we derive a VB model from the linear regression parameters using a change of variable technique. We show that the VB can be directly modeled from the regression model of thermal dynamics without estimating the exact thermal parameters and heat disturbances. Third, aggregation of the VB models is implemented. The energy limits of aggregate VB models are designed considering the baseline load prediction error caused by disturbance uncertainty. Finally, simulation results verify the accuracy and effectiveness of the proposed VB modeling strategy. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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Review

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23 pages, 1951 KiB  
Review
A Review on Adaptive Thermal Comfort of Office Building for Energy-Saving Building Design
by Prativa Lamsal, Sushil Bahadur Bajracharya and Hom Bahadur Rijal
Energies 2023, 16(3), 1524; https://doi.org/10.3390/en16031524 - 3 Feb 2023
Cited by 19 | Viewed by 4053
Abstract
The thermal environment quality of office buildings has an important role because thermal comfort is directly related to human productivity. Thermal comfort conditions are influenced by climate, location, and the built environment; hence, comfort standards are required to assist building designers in creating [...] Read more.
The thermal environment quality of office buildings has an important role because thermal comfort is directly related to human productivity. Thermal comfort conditions are influenced by climate, location, and the built environment; hence, comfort standards are required to assist building designers in creating a comfortable indoor environment for building occupants. In this context, the present study analyzes the adaptive thermal comfort studies conducted in office buildings from various countries. A large number of research articles selected from the Scopus database were considered for this study. Based on the analysis, outdoor climatic conditions have a greater influence on indoor thermal conditions in naturally ventilated than in air-conditioned office buildings. The temperature required for comfort is as low as 17.6 °C and as high as 31.2 °C in naturally ventilated buildings. An adaptive comfort equation for naturally ventilated and air-conditioned office buildings has also been proposed to predict the indoor comfort temperature. Various studies show that a substantial amount of energy can be saved by changing the set point and natural ventilation. Furthermore, this study successfully provides hearty evidence that there is a need for climate-specific standards on thermal comfort for energy-efficient design development because existing comfort standards might not be applicable to all climates. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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37 pages, 2593 KiB  
Review
Passive Solar Systems for the Promotion of Thermal Comfort in African Countries: A Review
by Michael M. Santos, Ana Vaz Ferreira and João C. G. Lanzinha
Energies 2022, 15(23), 9167; https://doi.org/10.3390/en15239167 - 2 Dec 2022
Cited by 3 | Viewed by 2524
Abstract
Globally, the residential sector consumes a significant amount of energy. Therefore, bioclimatic architectural systems which consider passive solutions should be studied, analyzed, and implemented to reduce energy consumption. This review aims to promote thermal comfort in African countries by using passive solar systems. [...] Read more.
Globally, the residential sector consumes a significant amount of energy. Therefore, bioclimatic architectural systems which consider passive solutions should be studied, analyzed, and implemented to reduce energy consumption. This review aims to promote thermal comfort in African countries by using passive solar systems. It begins with the keyword thermal comfort and then reviews articles published over the last ten years that consider bioclimatic architecture and construction strategies in Africa, the main trends in scientific research in this field, and the possibilities for each climate zone in achieving the highest degree of climate comfort. Following an extensive review, certain bioclimatic architectural strategies adopted in specific countries can be applied in countries with similar climates and this can contribute to significant energy savings through effective functional solar and ventilation design strategies. Several countries have been identified as having the most significant publications on thermal regulations in buildings, and the associated regulations and projects are discussed. Several studies have also examined static and adaptive models of thermal comfort. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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23 pages, 2526 KiB  
Review
A Review of Thermal Comfort in Residential Buildings: Comfort Threads and Energy Saving Potential
by Naja Aqilah, Hom Bahadur Rijal and Sheikh Ahmad Zaki
Energies 2022, 15(23), 9012; https://doi.org/10.3390/en15239012 - 28 Nov 2022
Cited by 17 | Viewed by 4658
Abstract
Residential buildings instigate a vital role in creating a safe and comfortable indoor living environment. The phenomenon of overheating, an impact of climate change, can cause a negative effect on residents’ productiveness and heat-related illnesses and can even force high pressure on electricity [...] Read more.
Residential buildings instigate a vital role in creating a safe and comfortable indoor living environment. The phenomenon of overheating, an impact of climate change, can cause a negative effect on residents’ productiveness and heat-related illnesses and can even force high pressure on electricity generation by increasing the risk of power outages due to excessive peak cooling and heating requirements. Various issues on building thermal comfort are being evolved and discussed in review articles. However, there are few articles that review the current condition of adaptive thermal comfort studies and the potential for energy savings in residential buildings. Therefore, the aims for this paper are to: identify comfort temperature ranges in residential buildings, investigate the correlation of comfort temperature with indoor and outdoor temperatures with the aid of ‘comfort threads’, and clarify the effect of adaptive measures on residential energy saving potential. This study obtained a large variation of residential comfort temperatures, which mostly depend on the climate and operation modes of the building. ‘Comfort threads’ explains that people are adapting to a large variation of indoor and outdoor temperatures and the wide range of comfort temperature could provide significant energy savings in residential buildings. This review provides insight on and an overview of thermal comfort field studies in residential buildings. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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Other

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19 pages, 3701 KiB  
Essay
Transfer Learning in the Transformer Model for Thermal Comfort Prediction: A Case of Limited Data
by Xin Zhang and Peng Li
Energies 2023, 16(20), 7137; https://doi.org/10.3390/en16207137 - 18 Oct 2023
Cited by 1 | Viewed by 1802
Abstract
The HVAC (Heating, Ventilation, and Air Conditioning) system is an important component of a building’s energy consumption, and its primary function is to provide a comfortable thermal environment for occupants. Accurate prediction of occupant thermal comfort is essential for improving building energy utilization [...] Read more.
The HVAC (Heating, Ventilation, and Air Conditioning) system is an important component of a building’s energy consumption, and its primary function is to provide a comfortable thermal environment for occupants. Accurate prediction of occupant thermal comfort is essential for improving building energy utilization as well as health and work efficiency. Therefore, the development of accurate thermal comfort prediction models is of great value. Deep learning based on data-driven techniques has excellent potential for predicting thermal comfort due to the development of artificial intelligence. However, the inability to obtain large quantities of detailed thermal comfort labeling data from residents presents a substantial challenge to the modeling endeavor. This paper proposes a building-to-building transfer learning framework to make deep learning models applicable in data-limited interior building environments, thereby resolving the issue and enhancing model predictive performance. The transfer learning method (TL) is applied to a novel technology dubbed the Transformer model, which has demonstrated outstanding performance in data trend prediction. The model exploits the spatiotemporal relationship of data regarding thermal comfort. Experiments are conducted using the source dataset (Scales project dataset and ASHRAE RP-884 dataset) and the target dataset (Medium US office dataset), and the results show that the proposed TL-Transformer achieves 62.6% accuracy, 57% precision, and a 59% F1 score, and the prediction performance is better than other existing methods. The model is useful for predicting indoor thermal comfort in buildings with limited data, and its validity is verified by experimental results. Full article
(This article belongs to the Special Issue Adaptive Thermal Comfort and Energy Use in Buildings)
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