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Energy-Building-Indoor Environment for Long-Term Sustainability

This special issue belongs to the section “Energy Sustainability“.

Special Issue Information

Dear Colleagues,

Nearly 40% of the primary global energy is consumed by buildings in order to maintain comfort in the indoor environment, which is one major reason for greenhouse gas emissions. To improve the performance of buildings through the use of new energy technologies, many novel active and passive strategies (i.e., renewable energy, energy storage, building monitoring, and performance control) have been developed in recent decades. The novel theories and innovation technologies in energy technologies for buildings and the built environment are critical in order to reduce energy comsumption so as to meet the aim of long-term sustainability.

To assess and evaluate the relationship between energy, buildings, and the built environment, big data from buildings are now available for promoting sustainability at a regional and global level. The data methodology and applications on the interdisciplinary areas of energy–building–indoor environment are gaining more and more attention. Artificial intelligence based on big data is an efficient method for energy and indoor environment issues.

This Special Issue will provide a platform for discussing multi-disciplinary and insightful ideas to support novel throries, methodologies, and empirical research on the energy–building–indoor environment for long-term Sustainability. This Special Issue can establish close links among academic research and engineers to address energy, building, and environmental challenges for sustainablibity.

Potential topics of this Special Issue include, but are not limited to, the following:

  • Revised traditional electrica/thermal energy technologies in buildings
  • Renewable energy and consumption control in buildings
  • Revised indicators of the systems of energy and the indoor environment
  • Building energy performance assessment and benchmarking
  • Building performance control techniques
  • Data mining and artificial intelligence technologies for building sectors
  • Validation, practices, engineering projects, and guidelines for future buildings
  • National and international policies about the future energy–building–indoor environment
  • Impacts of the COVID-19 pandemic on the energy–building–indoor environment

Dr. Jianhui Hu
Prof. Dr. Carol Monticelli
Dr. Zhengyu Fan
Prof. Dr. Shiliang Lu
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 250 words) can be sent to the Editorial Office for assessment.

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

  • electrical/thermal energy technologies
  • renewable energy
  • energy consumption
  • indicators systems of energy
  • indoor environment
  • energy performance assessment
  • benchmarking results
  • building performance control techniques
  • data mining for building sectors
  • artificial intelligence technologies for building sectors
  • practices and engineering projects for future buildings
  • guideline for future buildings
  • national and international policies

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Sustainability - ISSN 2071-1050