Special Issue "Moving towards Digitalization in Building Energy Modeling"

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

Deadline for manuscript submissions: 30 December 2021.

Special Issue Editors

Dr. Serdar Durdyev
E-Mail Website
Guest Editor
Department of Engineering and Architectural Studies, Ara Institute of Canterbury, PO Box 540, 8140 Christchurch, New Zealand
Interests: building information modelling; construction management; sustainable construction; construction engineering
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Dr. Saeed Reza Mohandes
E-Mail Website
Guest Editor
Department of Building and Real Estate (BRE), Faculty of Construction and Environment (FCE), The Hong Kong Polytechnic University, Hong Kong, China
Interests: artificial intelligence and machine learning in construction; construction safety; sustainable development; infrastructure management; building energy efficiency; facility management
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Prof. Dr. David John Edwards
E-Mail Website
Guest Editor
School of Engineering and the Built Environment, Birmingham City University, City Centre Campus, Millennium Point, Birmingham B4 7XG, UK
Interests: construction; construction technology; BIM; artificial neural networks; computer science
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Prof. Dr. Edmundas Kazimieras Zavadskas
grade E-Mail Website
Guest Editor
Department of Construction Management and Real Estate, Laboratory of Operational Research, Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Interests: multicriteria decision making; energy; sustainable development; machine learning, entropy, fuzzy sets theory; fuzzy multicriteria decision making; sustainability
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Special Issue Information

Dear Colleagues,

As widely asserted, the construction sector is unarguably one of the biggest consumers of natural resources as compared to all the other industries. To cater for this problem, the idea of energy efficiency within the buildings came into the picture, and has grabbed the attention of myriad researchers and practitioners. Taking this background into consideration, the utilization of digital-based technologies is witnessed to have brought about drastic improvement in the modelling of buildings’ energy. Despite such proved blossoms, the exploitation of smart- and innovative-based technologies and techniques have lagged behind in this domain, making it naïve and immature as compared to the other sectors. Considering the aforementioned necessity, moving beyond the stagnant status quo for the further uptake of such technologies seems an undeniable fact, with a view to bringing about not only comforts for the residents living in buildings, but also to contributing towards our environment. Thus, this Special Issue aims to establish an open platform for the interested researchers in this stream to share their knowledge on the recent utilization of smart-based technologies (including Internet of things, building information modeling, digital twins, virtual/augmented reality, etc.) together with artificial intelligence-based techniques (including machine learning, artificial neural networks, fuzzy sets theories, stochastic optimizations), so as to improve the building energy modeling (BEM). This Special Issue also welcomes review papers compiling the exploitation of aforementioned technologies and techniques in the realm of BEM. Furthermore, studies undertaken on building up the linkages between the impact of COVID-19 and the BEM within the constructed facilities are favored.

Dr Serdar Durdyev
Dr Saeed Reza Mohandes
Prof. Dr. David J. Edwards
Prof. Dr. Edmundas Kazimieras Zavadskas
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 papers will be 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 2000 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

  • Building energy modeling
  • Building energy analysis
  • Cooling load prediction
  • Heating load prediction
  • Energy consumption
  • HVAC systems modeling
  • Optimizing energy efficiency
  • Artificial neural networks
  • Deep learning
  • Genetic algorithms
  • Fuzzy logic
  • Internet of things
  • Sensors
  • Virtual reality
  • Building information modeling
  • Stochastic optimization
  • Probabilistic simulation
  • Internet of things

Published Papers

This special issue is now open for submission.
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