| Issue |
E3S Web Conf.
Volume 650, 2025
The 10th International Conference on Energy, Environment, and Information Systems (ICENIS 2025)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 10 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202565001003 | |
| Published online | 10 October 2025 | |
AI Innovation for Energy Efficiency Floor Plan Design
1 Architecture Department, Faculty of Engineering, Diponegoro University, Indonesia
2 Research Center for Structural Strength Technology (PRTKS), Research Organization for Energy and Manufacture (OREM)
* Corresponding author: dany.perwitasari@gmail.com
As part of the early stages of building design, there are several challenges, including a vast number of data/variables that need to be considered, a time limit, a space limit, and the number of possibilities that may arise. The creativity of designer’s ideas is essential in early design as it can influences the next design stage, even in energy efficiency. As artificial intelligence (AI) develops rapidly, the design industry faces a growing complexity. It is, however, essential to use innovative techniques. This paper examines existing AI tools for optimising building layouts, especially in office buildings and apartments. As AI is extremely powerful, especially in generating data-driven design alternatives, and can be effective when used in the right context. Various AI tools used for reviewing and analysing included Hypar AI, 3Ds max + Max GPT, Revit + PlanFinder, and Architectures AI, based on their workflow, controllability of every step, UX (user experience), and software integration. As a result, AI tools have proven time when used along with an analysis of it. Further, AI tools still need to be refined and improved before they can be truly integrated into daily design processes.
Key words: Innovative technique / Energy efficiency / Early design stage / Artificial Intelligence / Architecture
© The Authors, published by EDP Sciences, 2025
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