Abstract

Biorefineries are keen to design optimal biomass supply chains to minimize production, harvest, transport, and other costs. Such a design problem is challenging with the availability of multiple feedstocks (agricultural residues, perennials such as energy crops, short rotation woody crops), sourced from multiple harvest sheds, and transported across multiple modes (trucks, rails, and barges). This paper presents a multi-period optimization model to analyze the feasibility of collection from multiple harvest sheds. The results are demonstrated for a case study location in Alpena, MI served by truck and water transport. The model results suggest that: i) perennial biomass with higher yields would be preferred due to higher biomass production per unit area; ii) transport from farther locations are warranted only if the biomass production costs in the farther harvest sheds are cheaper by 20% - 30% compared to the adjacent harvest shed; and iii) the local situations of a biorefinery—characterized by the parametric inputs in the model—play a key role in determining the optimal feedstock composition across multiple harvest sheds. The results also support long term contracts associated with high yielding perennial feedstocks such as energy crops and short rotation woody crops.

Highlights

  • The Renewable Fuels Standard mandate in Energy Independence and Security Act (EISA) 2007 established an-How to cite this paper: Kumarappan, S. and Joshi, S. (2016) Optimal Cellulosic Biomass Contracting with Multiple Feedstocks and Locations, and Multi-Modal Transport

  • Our reference case is that only the biomass feedstocks from the adjacent harvest shed are featured in the optimal feedstock mix, i.e. biomass from farther locations are not available, which is the case analyzed previously in Kumarappan and Joshi [10]

  • This case study with four feedstocks show slightly lower costs than that reported in Kumarappan and Joshi (2014) where only two feedstocks—energy crops and agricultural residues—were considered

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Summary

Introduction

The Renewable Fuels Standard mandate in Energy Independence and Security Act (EISA) 2007 established an-. This study develops a multi-period mathematical optimization model with the objective to minimize the total biomass procurement costs, including external costs of GHG emissions, while sourcing biomass from multiple locations. It extends of the model developed earlier by Kumarppan and Joshi [10] for analyzing some of these tradeoffs with respect to a single biorefiney and a single mode of transport. Their analysis for a case study location in Kansas, indicated that most of the biomass would be collected within a 32 - 48 km (20 - 30 mile) radius from around the biorefinery. Sections four and five discuss the results and broader implications for cellulosic biorefineries

Generic Mathematical Model
Case Study
Results and Discussion
Distance of Farther Harvest Shed
Role of Environmental Costs
Conclusions and Implications
E3: Transport costs
E6: Biomass mass balance constraints
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