Advancing Sustainable Building Practices: Integrating Green Materials, Healthy Structures, and AI-Driven Solutions
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".
Deadline for manuscript submissions: 1 June 2025 | Viewed by 31
Special Issue Editor
Interests: sustainable engineering; building simulation; building design; building engineering; building envelope; carbon dioxide (CO2)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The transition towards sustainable building practices is imperative for addressing modern construction’s environmental, social, and economic challenges. This Special Issue, “Advancing Sustainable Building Practices: Integrating Green Materials, Healthy Structures, and AI-Driven Solutions”, focuses on innovative approaches to creating buildings that are not only environmentally friendly but also promote the well-being and comfort of their occupants. The scope encompasses a broad range of topics, including using green materials, designing healthy structures, and the creation of comfortable indoor environments. A unique aspect of this issue is the exploration of artificial intelligence (AI) and machine learning (ML) applications in optimizing sustainable building practices. This Special Issue aims to provide a comprehensive collection of cutting-edge research that advances our understanding and implementation of sustainable building strategies.
By integrating AI and ML, this issue addresses the need for smarter, more efficient building systems that can adapt to various environmental and human factors. This Special Issue will serve as a valuable supplement to existing literature by highlighting the synergistic potential of AI in enhancing sustainable building technologies. It aims to bridge the gap between theoretical research and practical applications, offering insights that can lead to more sustainable, healthy, and comfortable living spaces.
In this Special Issue, original research articles and reviews are welcome. Areas of research can include (but are not limited to):
- Sustainable building;
- Green material;
- Healthy structure;
- Comfort environment;
- Artificial intelligence;
- Machine learning;
- Environmental impact;
- Smart buildings;
- Energy efficiency;
- Indoor air quality.
Prof. Dr. Ali Bahadori-Jahromi
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. 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
- sustainable building
- green material
- healthy structure
- comfort environment
- artificial intelligence
- machine learning
- environmental impact
- smart buildings
- energy efficiency
- indoor air quality
