Beyond Life Cycle Analysis: Using an Agent-Based Approach to Model the Emerging Bio-Energy Industry

CSS Publication Number: 
CSS12-11
Abstract: 

Life cycle analysis (LCA) provides a methodology to quantify the environmental impacts of a product or process throughout its entire supply chain. However when used alone, this approach fails to account for the local variability in non-homogeneous systems. Agent-based modeling (ABM) can be used to supplement life cycle analysis to account for these variances. Using spatially-explicit input parameters, a hybrid LCA / agent-based emission modeling framework was built for a theoretical farm region. Using market and policy input parameters, the development of the switchgrass biofuel and bio-electricity markets were analyzed at the local level. Though this research is currently in an early stage of development, this hybrid LCA/ABM approach has been shown to be a useful tool for assessing small scale variability and interaction amongst variables.

Keyword: 
Agent-Based Modeling (ABM)
Life Cycle Analysis (LCA)
Decision Making
Biofuels
Publication Type: 
Conference Proceeding
Proceedings of 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST)
Date Published: 
May 16, 2012
Full Citation: 
Heairet, Andrew, Sonika Choudhary, Shelie Miller and Ming Xu. “Beyond life cycle analysis: Using an agent-based approach to model the emerging bio-energy industry.” Proceedings of 2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST), May 16-18, 2012, Boston, MA: 1-5.
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Publication Status: 
Published