4.6 Article

Environmental and economic analysis of the fully integrated biorefinery

Journal

GLOBAL CHANGE BIOLOGY BIOENERGY
Volume 1, Issue 5, Pages 331-345

Publisher

WILEY
DOI: 10.1111/j.1757-1707.2009.01027.x

Keywords

Ammonia Fiber Expansion (AFEX); biorefinery; ethanol; Integrated Farm Simulation Model (IFSM); modeling

Funding

  1. United States Department of Energy, Office of Basic Energy Sciences [DE-FC02-07ER64494]
  2. Office of Biobased Technologies at Michigan State University

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Cellulosic biofuel systems have the potential to significantly reduce the environmental impact of the world's transportation energy requirements. However, realizing this potential will require systems level thinking and scale integration. Until now, we have lacked modeling tools for studying the behavior of integrated cellulosic biofuel systems. In this paper, we describe a new research tool, the Biorefinery and Farm Integration Tool (BFIT) in which the production of fuel ethanol from cellulosic biomass is integrated with crop and animal (agricultural) production models. Uniting these three subsystems in a single combined model has allowed, for the first time, basic environmental and economic analysis of biomass production, possible secondary products, fertilizer production, and bioenergy production across various regions of the United States. Using BFIT, we simulate cellulosic ethanol production embedded in realistic agricultural landscapes in nine locations under a collection of farm management scenarios. This combined modeling approach permits analysis of economic profitability and highlights key areas for environmental improvement. These results show the advantages of introducing integrated biorefinery systems within agricultural landscapes. This is particularly true in the Midwest, which our results suggest is a good setting for the cellulosic ethanol industry. Specifically, results show that inclusion of cellulosic biofuel systems into existing agriculture enhances farm economics and reduces total landscape emissions. Model results also indicate a limited ethanol price effect from increased biomass transportation distance. Sensitivity analysis using BFIT revealed those variables having the strongest effects on the overall system performance, namely: biorefinery size, switchgrass yield, and biomass farm gate price.

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