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Buildings
Special Issues
Current Trends for Reducing Building Energy Consumption
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Current Trends for Reducing Building Energy Consumption

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: closed (10 March 2023) | Viewed by 3249

Special Issue Editors

Dr. Xi Luo

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Guest Editor
School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, China
Interests: integrated energy system; rural energy planning; energy consumption behaviors; system optimization; solar energy; energy policy
Dr. Rui Jing

E-Mail Website1 Website2
Guest Editor
College of Energy, Xiamen University, Xiamen 361102, China
Interests: building energy; urban energy planning; integrated energy systems; energy and climate change; energy nexus
Special Issues, Collections and Topics in MDPI journals
Dr. Yingjun Ruan

E-Mail Website
Guest Editor
College of Mechanical and Energy Engineering, Tongji University, Shanghai, China
Interests: integrated smart energy system; distributed energy system; district energy planning; building energy consumption
Dr. Cheng Fan

E-Mail Website
Guest Editor
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China
Interests: building energy modeling; data science; machine learning; fault detection and diagnosis; optimal controls; building automation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reducing building energy consumption is an important measure to deal with the global energy crisis and climate change, as buildings take the lead in consuming a substantial amount of energy, about 40% of global energy consumption. Innovative technologies and management methods related to building energy efficiency are current research hotspots. The Special Issue, “Current Trends for Reducing Building Energy Consumption”, aims to bring together cutting-edge research advances in building energy efficiency. Papers that investigate or consider the prospects of energy devices, systems, processes, operation, performance, maintenance, and control are also welcome. For this Special Issue, we are particularly interested in inviting papers focusing on the (i) energy demands and consumption in existing and future buildings; (ii) energy conservation in the built environment; (iii) occupant-centric building energy modelling; (iv) design and management of green buildings; (v) design and operation optimization of building energy systems; (vi) distributed renewable energy systems; and (vii) smart energy trading. This Special Issue welcomes synthesizing articles and historical and current case studies, as well as theoretical papers.

Dr. Xi Luo
Dr. Rui Jing
Dr. Yingjun Ruan
Dr. Cheng Fan
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 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 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

  • life cycle energy efficiency of buildings
  • green and near-zero energy buildings
  • building energy modelling
  • energy efficiency management
  • occupant behaviour management
  • renewable energy system
  • integrated energy system optimization
  • smart energy trading
  • advances in numerical and experimental techniques

Published Papers (2 papers)

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Research

15 pages, 612 KiB  
Article
Barriers to Energy Efficiency: Low-Income Households in Australia
by Samaneh Azimi, Carol K. H. Hon, Tanja Tyvimaa and Martin Skitmore
Buildings 2023, 13(4), 954; https://doi.org/10.3390/buildings13040954 - 03 Apr 2023
Cited by 4 | Viewed by 1533
Abstract
Low-income housing plays an important, but frequently overlooked, role in energy use reduction. Barriers persist for low-income households to participate in energy efficiency programs and adopt efficient lifestyles. However, there has been only limited research into energy efficiency barriers faced by low-income households. [...] Read more.
Low-income housing plays an important, but frequently overlooked, role in energy use reduction. Barriers persist for low-income households to participate in energy efficiency programs and adopt efficient lifestyles. However, there has been only limited research into energy efficiency barriers faced by low-income households. Existing energy research studies primarily focus on homeowners whose demographic and socio-economic profiles are likely to be very different from low-income households or renters—limiting the applicability of previous findings to low-income households. This study aims to identify and evaluate the importance of the energy efficiency barriers faced by low-income households. A questionnaire survey was conducted with 212 low-income households in Australia. After randomly dividing the data into calibration and validation samples, an exploratory factor analysis (EFA) of the calibration sample identifies four energy efficiency barrier factors of financial, decision-making, information, and split incentives. These four factors are then validated by confirmatory factor analysis (CFA) of the validation sample in terms of goodness-of-fit, reliability, and validity to confirm financial as the most highly rated energy efficiency barrier. This research contributes to bridging the knowledge gap of the energy efficiency barriers of low-income households and providing a validated CFA model as a tool for assessment. The results provide a better understanding of the barriers involved and research evidence to facilitate the formulation of policies to overcome them. Full article
(This article belongs to the Special Issue Current Trends for Reducing Building Energy Consumption)
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18 pages, 8599 KiB  
Article
Numerical Investigation of Thermal Performance with Adaptive Terminal Devices for Cold Aisle Containment in Data Centers
by Hongyin Chen, Dezhi Li, Songcen Wang, Tianheng Chen, Ming Zhong, Yi Ding, Ye Li and Xianxu Huo
Buildings 2023, 13(2), 268; https://doi.org/10.3390/buildings13020268 - 17 Jan 2023
Cited by 1 | Viewed by 1165
Abstract
The energy consumption of data center cooling systems accounts for a large proportion of total energy consumption. The optimization of airflow organization is one of the most important methods to improve the energy efficiency of cooling systems. The adjustment scale of many current [...] Read more.
The energy consumption of data center cooling systems accounts for a large proportion of total energy consumption. The optimization of airflow organization is one of the most important methods to improve the energy efficiency of cooling systems. The adjustment scale of many current air flow organization methods, however, is too large and does not support the data center’s refined operation. In this paper, a new type of air supply terminal device is proposed, and it could adaptively adjust according to the power of servers in the rack for cold air redistribution. In addition, the corresponding regulation strategy is proposed. A CFD model is established according to field investigation of a real data center in Shanghai to investigate the adjustment range and the energy saving potential of the device. The simulation results indicate that the device can suppress the local hot spots caused by excessive server power to some extent and greatly improve the uniformity of servers exhaust temperature. The case study shows that the device can save energy consumption by 20.1% and 4.2% in mitigating local hot spots compared with reducing supply air temperature and increasing supply air flowrate. Full article
(This article belongs to the Special Issue Current Trends for Reducing Building Energy Consumption)
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