Reimagining Sustainability: Green Mobility, Natural Ventilation and Artificial Intelligence-Driven Design
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 54
Special Issue Editors
Interests: sustainable energy; finite element analysis; CADCAM; light weighting; automotive design; electric vehicle
Special Issues, Collections and Topics in MDPI journals
Interests: proton exchange membrane fuel cell; electric vehicle; vehicle dynamics; automotive design
Interests: renewable energy; building ventilation; optimization
Interests: engineering application of machine learning; finite element methods; computational fluid dynamics; statistical modelling; sustainable materials
Special Issue Information
Dear Colleagues,
Sustainability is a global priority driving innovation across industries. This Special Issue highlights research advancing sustainable development, focusing on green mobility, energy-efficient systems, and artificial intelligence (AI)-driven solutions. Both experimental and simulation-based studies are encouraged, reflecting an interdisciplinary approach.
Green mobility topics include electric vehicles, fuel cells, lightweighting, and sustainable materials, emphasizing carbon reduction and energy efficiency. Energy-efficient building systems, such as natural ventilation and thermal management, reduce consumption and enhance environmental performance.
AI technologies have revolutionized sustainability by optimizing designs, improving system efficiency, and tackling complex challenges, fostering smarter, greener solutions across diverse applications.
This Special Issue invites contributions on topics including, but not limited to, the following:
- Finite element analysis for lightweighting;
- Multi-scale simulations for material and structural innovations;
- Structural design for sustainable development;
- Fuel cell technologies;
- Lightweight materials;
- Metamaterial design;
- Aerodynamic analysis and optimization of sustainable vehicles;
- Building energy systems and ventilation;
- Thermal comfort analysis in sustainable architecture;
- Optimization of Heating, Ventilation, and Air – Conditioning Systems;
- AI-driven design optimization for sustainable development;
- AI applications in renewable energy;
- Data-driven approaches for energy-efficient system management.
Dr. Perk Lin Chong
Prof. Dr. Pengyan Guo
Dr. Lip Kean Moey
Dr. Foad Faraji
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
- sustainability
- green mobility
- energy efficiency
- artificial intelligence-driven solutions
- lightweight materials
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