Title |
Exploring PV circularity by modeling socio-technical dynamics of modules' end-of-life management |
ID_Doc |
21319 |
Authors |
Walzberg, J; Carpenter, A; Heath, GA |
Title |
Exploring PV circularity by modeling socio-technical dynamics of modules' end-of-life management |
Year |
2021 |
Published |
|
DOI |
10.1109/PVSC43889.2021.9518638 |
Abstract |
The circular economy (CE) tackles environmental and resource scarcity issues by maximizing value retention in the economy. The concept implies design strategies such as reducing the use of materials or improving products' durability and end-of-life (EOL) strategies, for example, reusing products and components and recycling materials. With an estimated 80 million tons of global cumulative EOL photovoltaic (PV) modules, applying CE principles to the PV industry could alleviate resource scarcity issues while also providing economic benefits. However, transitioning to a CE may imply changes in organizations and consumer behaviors. In this context, assessment of CE strategies may require accounting for behavioral change, a requirement that methods from complex system science such as agent-based modeling meet. Thus, this paper uses an agent-based modeling (ABM) approach to study circularity in the photovoltaics supply chain. Four types of agents are represented in the ABM: PV owners, installers, recyclers, and manufacturers. Moreover, five possible EOL options - including three CE strategies - are modeled. Departing from traditional techno-economic analysis, the model includes techno-economic factors as well as social factors to model EOL management decisions. Results show that each dollar decrease in the recycling fees improves the recycling rate by roughly 1.1%. However, excluding social factors underestimates the effect that lower recycling prices have on material circularity. |
Author Keywords |
Circular economy; agent-based modeling; socio-technical systems; circular strategies; machine learning |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000701690400010 |
WoS Category |
Energy & Fuels; Engineering, Electrical & Electronic; Physics, Applied |
Research Area |
Energy & Fuels; Engineering; Physics |
PDF |
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