Green Design and Artificial Intelligence Sustainable Solutions for Interior Spaces
This paper aims to identify how AI technologies can leverage sustainability in interior domains through green practices. A DSS is utilized in elucidating the manipulating methods of improving the indoor air quality in comfort spaces as a part of the study, influencing on sustaining healthy interior habitats with less energy consumption and reasonable material selections. The study details how DSS can help in energy efficiency, material selection with low impact and keeping the indoor environment functioning, thus optimizing the conditions of the design by analyzing data in real-time using your DSS solutions. Outcomes have been showcased with reported outcomes such as energy savings upward of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{2 5 \% - 3 0 \%}$</tex>, related sustainability numbers for materials, carbon emissions reductions upwards of 40 % as well as better indoor air quality metrics. This way, the output shows the extraordinary skills of AI and how it can change the path of eco-friendly interior design; in all, bringing a step closer to a healthy living and working space.
Institutions
- Middle Technical University (IQ)
Publication Details
- Published
- 2025-04-05
- DOI
- https://doi.org/10.1109/icmi65310.2025.11141258
- Primary Topic
- Sustainable Building Design and Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.00