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Frontiers in Energy Efficiency and Sustainability of Buildings

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 October 2022) | Viewed by 3575

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
College of Urban Construction, Nanjing Tech University, Nanjing 210009, China
Interests: building energy efficiency; renewable energy; zero-energy buildings; energy flexible buildings; building demand response; thermal energy storage
College of Mechanical Engineering, Tongji University, Shanghai 200092, China
Interests: energy efficiency in buildings; building system control and operation; refrigeration and air conditioning; renewable energy technologies; green building
Institute for Environmental Design and Engineering, The Bartlett, University College London, London, UK
Interests: building energy efficiency; demand-side management; machine learning in energy systems; grid-building interaction; low-carbon energy system and decarbonisation

Special Issue Information

Dear Colleagues,

The building sector is the largest energy consumer in most countries and accounts for 25–30% of total energy-related carbon dioxide (CO2) emissions worldwide. Therefore, improving the energy efficiency and sustainability of buildings is an important measure to reduce the global energy usage and promote urban low-carbon or carbon neutrality transformation.

The high energy efficiency and sustainability of buildings can be realized through the lifecycle optimization and integration of multiple technologies within or beyond buildings. Advanced energy efficiency technologies, renewable energy technologies, and low-carbon technologies in the built environment may include 1) a passive design to reduce building demand and environmental impact; 2) advanced HVAC (heating, ventilation, and air-conditioning) technologies and high efficient energy systems; 3) performance assessment, fault detection and diagnosis, optimal control, and operation of existing buildings; 4) development and integration of renewable energy systems such as solar energy systems, wind energy systems, biomass energy systems, etc.; 5) smart buildings toward smart grids and energy-flexible buildings for power demand management and response.

This Special Issue invites researchers to contribute original research papers and technical review papers on innovative approaches and solutions to benefit sustainability and energy efficiency of buildings and assist in reducing energy use and carbon footprint associated to the built environment. Topics of interest include but are not limited to the following:

  • Building design optimization and control optimization;
  • Building energy efficiency retrofitting;
  • Energy performance assessment and diagnosis;
  • Renewable energy technologies;
  • Building demand side management;
  • Advanced HVAC technologies;
  • Energy flexibility and energy storage;
  • Low/zero energy buildings;
  • Low-carbon, and carbon-free techniques.

Prof. Dr. Chengchu Yan
Dr. Zhengwei Li
Dr. Rui Tang
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. 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

  • energy efficiency
  • built environments
  • renewable energy
  • sustainable technologies
  • carbon neutral
  • lifecycle optimization

Published Papers (1 paper)

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Research

19 pages, 3662 KiB  
Article
A Novel Optimization Method for Conventional Primary and Secondary School Classrooms in Southern China Considering Energy Demand, Thermal Comfort and Daylighting
by Yizhe Xu, Chengchu Yan, Hao Qian, Liang Sun, Gang Wang and Yanlong Jiang
Sustainability 2021, 13(23), 13119; https://0-doi-org.brum.beds.ac.uk/10.3390/su132313119 - 26 Nov 2021
Cited by 8 | Viewed by 2271
Abstract
The classroom environment is of great significance for the health of primary and secondary school students, but a comfortable indoor environment often requires higher energy consumption. This paper presents a multi-objective optimization method based on an artificial neural network (ANN) model, which can [...] Read more.
The classroom environment is of great significance for the health of primary and secondary school students, but a comfortable indoor environment often requires higher energy consumption. This paper presents a multi-objective optimization method based on an artificial neural network (ANN) model, which can help designers efficiently optimize the design of primary and secondary school classrooms in southern China. In this optimization method, first, the optimization objectives and variables are determined according to building characteristics, and the physical model is established through simulation software (EnergyPlus) to generate the sample space. Second, sensitivity analysis is carried out for each optimization variable, and the physical model is modified according to the results to regenerate the sample space. Third, the ANN model is trained by using the regenerated sample space, and the Pareto optimal solution is generated through the use of the non-dominated sorting genetic algorithm II (NSGA-II). Finally, the effectiveness of the multi-objective optimization method is proven through a typical case of primary and secondary school classrooms in Nanjing, China. The results show that, compared with the benchmark scheme, TES decreased by 810.8 kWh at most, PT increased by 47.8% at most and DI increased by 4.2% at most. Full article
(This article belongs to the Special Issue Frontiers in Energy Efficiency and Sustainability of Buildings)
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