The Role of Artificial Intelligence Technologies in Accelerating Sustainable Development in the Building Sector
Keywords:
Artificial Intelligence, Sustainable Development, Building Sector, Smart Buildings, Digital Technologies, Energy Efficiency, BIM, Digital TwinAbstract
The building sector plays a key role in the transition toward sustainability due to its significant impact on energy consumption, resource use, and greenhouse gas emissions. In this context, Artificial Intelligence (AI) has emerged as an important enabler for improving energy efficiency, environmental performance, and resilience in the built environment. The objective of this paper is to investigate how AI technologies can be systematically integrated across the building life cycle to support sustainable development in the construction sector.
The study is framed within major international and European policy frameworks, including the Sustainable Development Goals, the European Green Deal, and the New Urban Agenda. A review of recent scientific literature is conducted to analyze state-of-the-art AI applications in construction, focusing on BIM-based workflows, Digital Twin technologies, smart buildings, and AI-driven energy optimization systems. Based on the findings, the paper develops a conceptual framework and proposes guidelines for the effective adoption of AI in sustainable building design and operation, highlighting its potential to reduce environmental impacts and enhance long-term resilience.
Downloads
Published
How to Cite
Issue
Section
The Journal of Mediterranean, European and African Sciences (JMEAS) is an Open Access journal. All articles published in the journal are made freely and permanently available to the public immediately upon publication.
Unless otherwise stated, articles published in JMEAS are distributed under the Creative Commons Attribution License (CC BY 4.0).
1. Creative Commons Attribution (CC BY 4.0)
Under the CC BY 4.0 license, users are permitted to:
-
read, download, copy, distribute, print, search, and link to the full texts of articles;
-
reuse, adapt, remix, and build upon the published work, including for commercial purposes;
provided that appropriate credit is given to the original author(s) and to the journal, a link to the license is included, and any changes made are clearly indicated.
2. Author Rights
Authors retain full copyright of their work.
By publishing in JMEAS, authors grant the journal a non-exclusive license to publish, disseminate, archive, and preserve the article in all formats and media for scholarly and educational purposes.
Authors are free to:
-
share their published work on personal or institutional websites;
-
deposit the article in repositories;
-
reuse the content in future works, provided proper attribution is given.
3. Third-Party Material
If an article contains material (e.g. figures, tables, images, or data) for which the authors do not hold copyright, authors are responsible for obtaining the necessary permissions and for clearly indicating the licensing status of such material.
Third-party material included in an article may not be covered by the article’s Creative Commons license unless explicitly stated.
4. Attribution Requirement
Any reuse of articles published in JMEAS must include:
-
the name(s) of the author(s);
-
the title of the article;
-
the journal title (Journal of Mediterranean, European and African Sciences);
-
a citation of the original publication;
-
a reference or link to the applicable Creative Commons license.
5. License Information
The applicable license is clearly indicated on each published article.
The full license text is available at:
https://creativecommons.org/licenses/by/4.0/