2021.11.29 Jinjian_thesis.pdf (3.79 MB)
Download file

Understanding the supply and demand of critical materials for clean energy technologies: An agent based modeling approach

Download (3.79 MB)
thesis
posted on 03.12.2021, 17:37 by Jinjian CaoJinjian Cao
With the rapid development of clean energy technologies, various bottlenecks on supplies of related critical materials emerged. Since supply chains of critical materials often involved with multiple layers of markets with different characteristics, to better identify bottlenecks and increase critical material availability, it is vital to have better understanding and projection on these markets.
Agent-based modeling is a bottom-up approach that can imitate heterogenous objects in a changing environment. Therefore, it is an excellent tool to simulate markets with fierce competition and fast revolution. This work demonstrates the application of agent-based modeling by discussing three different topics related to critical material demand and supply induced by clean energy products.
The first application focused on LED residential lighting market. LED lighting market grew rapidly and introduced potential demand on several critical materials including indium. The work modeled consumers as heterogenous and irrational agents in network purchasing new bulbs based

Funding

National Science Foundation Grant No. 1336534

Critical Materials Institute

History

Degree Type

Doctor of Philosophy

Department

Environmental and Ecological Engineering

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Fu Zhao

Additional Committee Member 2

John W. Sutherland

Additional Committee Member 3

Seokcheon Lee

Additional Committee Member 4

Hongyue Jin