Assessing the environmental footprint of electrochromic windows: a comparative LCA with AI-based forecasting
Electrochromic windows exhibit 35% lower carbon emissions than conventional double-pane windows. Coupling LCA with AI-based forecasting (ANN and ANFIS) reveals that electricity use and frame design are the primary environmental hotspots.
Authors
- Ario Fahimi
- Ehsan Vahidi (ORCID: https://orcid.org/0000-0002-7674-4028)
- Christopher J. Barile (ORCID: https://orcid.org/0000-0002-4893-9506)
- Mohsen Rabbani (ORCID: https://orcid.org/0000-0002-0260-5113)
- Olivia Tahti
- Sabinus Arthur
- Macy Hopping
- Hassan Karim
Institutions
- University of Nevada, Reno (US)
- Istanbul Medipol University (TR)
- Freeport-McMoRan (United States) (US)
Publication Details
- Journal
- RSC Sustainability
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5su00638d
- Citations
- 1
- Primary Topic
- Transition Metal Oxide Nanomaterials
- Type
- article
- Field-Weighted Citation Impact
- 0.61