Denise Faye Lensoco
Sensitivity Analysis on Rainbow’s Refurbishing of Electronic Devices Methodology.
Rel. Matteo Prussi. Politecnico di Torino, Master of science program in Energy And Nuclear Engineering, 2025
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
This study conducted a sensitivity analysis on key parameters within the life cycle assessment (LCA) model of Rainbow’s Refurbishing of Electronic Devices methodology. Using verified data from twelve refurbishment projects covering six device types (smartphones, gaming consoles, laptops, PCs, tablets, and screens), the analysis identified which parameters most strongly influence greenhouse gas (GHG) emissions in baseline and project scenarios. Results showed that in the baseline scenario, the lifetime ratio between refurbished and new devices was the most influential parameter, with an average importance of 4,857,903 kg CO₂ eq, followed by market share of refurbished devices (mean μᵢ* of 302,318 kg CO₂ eq), while recycling shares were negligible (mean μᵢ* of 4,268 kg CO₂ eq).
In the project scenario, residual value dominated for most devices, obtaining an average importance of 1,139,103 kg CO₂ eq for all device types
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
