Laser recycling of photovoltaic and electronic waste

The landfill disposal of solar modules is a serious concern for the environment, and this waste is projected to reach 78 million tons by 2050. As solar power capacity is expected to grow to 14 TW by 2040, recycling becomes crucial. This presentation focuses on laser-based technologies for dismantling solar panels and recovering silicon, glass, and silver. This talk will also discuss the recovery of gold from electronic waste, which is expected to reach 74.7 million tons by 2030. The silver and gold from solar cells and electronic waste can be recovered in bulk and high-value nanoparticle form with high purity. AI and machine learning-optimized laser-recovery processes enhance yield and metal purity. These advancements offer a sustainable path for recovering valuable materials from solar cells and e-waste and providing huge energy savings.

Authors

Institutions

Publication Details

Published
2025-05-30
DOI
https://doi.org/10.1117/12.3054074
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Laser recycling of photovoltaic and electronic waste

Abhishek Trivedi, Pawan K. Kanaujia, Mahantesh Khetri, Mool C. Gupta
Recycling and Waste Management Techniques
article

Laser recycling of photovoltaic and electronic waste

Abhishek Trivedi, Pawan K. Kanaujia, Mahantesh Khetri, Mool C. Gupta
article en

Abstract

The landfill disposal of solar modules is a serious concern for the environment, and this waste is projected to reach 78 million tons by 2050. As solar power capacity is expected to grow to 14 TW by 2040, recycling becomes crucial. This presentation focuses on laser-based technologies for dismantling solar panels and recovering silicon, glass, and silver. This talk will also discuss the recovery of gold from electronic waste, which is expected to reach 74.7 million tons by 2030. The silver and gold from solar cells and electronic waste can be recovered in bulk and high-value nanoparticle form with high purity. AI and machine learning-optimized laser-recovery processes enhance yield and metal purity. These advancements offer a sustainable path for recovering valuable materials from solar cells and e-waste and providing huge energy savings.

University of Virginia (US)
Openalex Percentile: Top 85%
Recycling and Waste Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laser recycling of photovoltaic and electronic waste — Abhishek Trivedi, Pawan K. Kanaujia, et al. · (2025) | TGRS Research Map | TGRS