Sustainable Development of Energy and Environment in Buildings

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Sustainable Processes".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 1688

Special Issue Editor


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Guest Editor
Group of Building Environmental Studies, Physics Department, National and Kapodistrian University of Athens, 157 84 Athens, Greece
Interests: environmental sciences; energy efficiency; built environment; life cycle analysis; circularity; sustainability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue on the "Sustainable Development of Energy and Environment in Buildings" will focus on exploring innovative technologies and practices aimed at enhancing energy efficiency and environmental sustainability in the built environment.

Key topics include the decarbonization of the building stock, circular economy in the built environment, the integration of renewable energy sources, advancements in building materials and design, smart building technologies, and policies promoting green building practices.

Publications can include case studies, research findings, and theoretical developments that contribute to reducing the environmental impact of buildings while improving their energy performance and sustainability. 

Dr. Dimitra Papadaki
Guest Editor

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. Processes 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 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

  • sustainability
  • buildings
  • energy efficiency
  • circularity
  • smart buildings
  • decarbonization

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Published Papers (3 papers)

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Research

20 pages, 3122 KiB  
Article
Data-Driven MPC with Multi-Layer ReLU Networks for HVAC Optimization Under Iraq’s Time-of-Use Electricity Pricing
by Alaa Shakir, Ghamgeen Izat Rashed, Yigang He and Xiao Wang
Processes 2025, 13(7), 1985; https://doi.org/10.3390/pr13071985 - 23 Jun 2025
Viewed by 263
Abstract
Enhancing the energy management capabilities of modern smart buildings is essential for energy conservation, which is valuable for modern power networks maintaining a tight power balance under high renewable penetration. This study introduces a data-driven control strategy based on the model predictive control [...] Read more.
Enhancing the energy management capabilities of modern smart buildings is essential for energy conservation, which is valuable for modern power networks maintaining a tight power balance under high renewable penetration. This study introduces a data-driven control strategy based on the model predictive control (MPC) for HVAC (heating, ventilation, and air conditioning) systems considering the time-of-use (ToU) electricity rates in Iraq. A multi-layer neural network is first constructed using time-delayed embedding for the modeling of building thermal dynamics, where the rectified linear unit (ReLU) is used as the activation function for the hidden layers. Based on such piecewise affine approximation, an optimization model is developed within the receding horizon control framework, which incorporates the data-driven model and is transformed into a mixed-integer linear programming facilitating efficient problem solving. To validate the efficiency of the proposed approach, a simulation model of the building’s thermal network is constructed using Simscape considering several thermal effects among the building components. Simulation results demonstrate that the proposed approach improves the economic performance of the building while maintaining thermal comfort levels within acceptable range. Full article
(This article belongs to the Special Issue Sustainable Development of Energy and Environment in Buildings)
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19 pages, 3857 KiB  
Article
Improving Indoor Thermal Comfort and Air-Conditioning Management in Representative Primary Schools in Southern China
by Yicheng Sun, Wataru Ando, Shoichi Kojima and Kazuaki Nakaohkubo
Processes 2025, 13(5), 1538; https://doi.org/10.3390/pr13051538 - 16 May 2025
Viewed by 280
Abstract
This study aims to optimize indoor thermal environment assessment methods for primary school classrooms in regions with hot summers and cold winters, enhancing air-conditioning management efficiency and accuracy. Given the complexity of Predicted Mean Vote (PMV) calculations and its reduced accuracy under high [...] Read more.
This study aims to optimize indoor thermal environment assessment methods for primary school classrooms in regions with hot summers and cold winters, enhancing air-conditioning management efficiency and accuracy. Given the complexity of Predicted Mean Vote (PMV) calculations and its reduced accuracy under high temperature and humidity, this research explores the use of Thermal Sensation Vote (TSV) as a simpler alternative. Field measurements and subjective assessments were conducted to analyze the relationship between TSV and PMV, leading to a regression model linking predicted TSV (TSVp) with temperature and humidity. Results indicate that temperature and humidity significantly impact TSV, with regression coefficients of 0.499 and 0.055, respectively. Furthermore, when TSV is ≥1, the proportion of PMV of ≥0.5 remains stable, validating TSVp as a reliable indicator. Based on these findings, energy-efficient air-conditioning management strategies are proposed, recommending a temperature setting of 28 °C for thermal comfort. This study provides insights into climate control strategies in educational buildings, promoting sustainable development. Full article
(This article belongs to the Special Issue Sustainable Development of Energy and Environment in Buildings)
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12 pages, 1504 KiB  
Article
Controllable Preparation and Electrically Enhanced Particle Filtration Performance of Reduced Graphene Oxide Polyester Fiber Materials in Public Buildings
by Xiaolei Sheng, Tuo Yang, Xin Zhang and Tao Yu
Processes 2025, 13(2), 383; https://doi.org/10.3390/pr13020383 - 30 Jan 2025
Viewed by 765
Abstract
How to effectively improve the filtration characteristics of polyester fiber filtration materials in public buildings is particularly important for ensuring the health of indoor environments. This study uses the impregnation method to prepare composite materials by using the characteristics of graphene and its [...] Read more.
How to effectively improve the filtration characteristics of polyester fiber filtration materials in public buildings is particularly important for ensuring the health of indoor environments. This study uses the impregnation method to prepare composite materials by using the characteristics of graphene and its derivatives and, on this basis, enhances the filtration characteristics of the composite materials by applying an external voltage. The structure and particle filtration performance of the composite materials are tested and analyzed. The results indicate that the filtration efficiency of the prepared composite filter material is significantly improved compared to polyester fiber materials. When the applied voltage is 4 V, the new composite filter material has the highest weight filtration efficiency for particulate matter, with filtration efficiencies of 71.3%, 45.3%, and 35.7% for PM10, PM2.5, and PM1.0, respectively. The filtration efficiency is highest when the power on time is 80 s. At this time, the filtration efficiency of the filter material for PM10, PM2.5, and PM1.0 is 70.6%, 43.8%, and 35.3%, respectively. The new composite filter material has a significant lifting effect on particles with a diameter of 0–2.5 μm. It provides reference value for research and the application of new filtering materials. Full article
(This article belongs to the Special Issue Sustainable Development of Energy and Environment in Buildings)
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