| Title |
Prediction of photovoltaic waste generation in Canada using regression-based model |
| ID_Doc |
8601 |
| Authors |
Romel, M; Kabir, G; Ng, KTW |
| Title |
Prediction of photovoltaic waste generation in Canada using regression-based model |
| Year |
2024 |
| Published |
Environmental Science And Pollution Research, 31.0, 6 |
| DOI |
10.1007/s11356-023-31628-9 |
| Abstract |
The global surge in photovoltaic (PV) installations and the resulting increase in PV waste are a growing concern. The aims of this study include predicting the volume of photovoltaic waste in Canada. The forecasting of solar waste volume employed linear regression, 2nd order polynomial regression, and power regression models. The study's results indicate that Canada is on the verge of facing challenges related to the end-of-life treatment of photovoltaic modules in the coming years due to the significant growth in PV capacity over recent decades. According to the analysis, for early loss, the PV waste volume in 2045 could range from 180,000 MT to 270,000 MT, and for regular loss, it could range from 160,000 MT to 180,000 MT. This research is anticipated to assist relevant government agencies in assessing the prospective volume of PV waste to establish a sustainable and resilient PV waste management plan for Canada. These findings may shed light on the feasibility of a circular economy and advocate for the involvement of all stakeholders in a carefully coordinated strategy to mitigate potential environmental impacts and optimize resource utilization efficiency. |
| Author Keywords |
Photovoltaic waste; Waste volume; Forecasting; Regression |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001151247100007 |
| WoS Category |
Environmental Sciences |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
|