Optimization of harvest and logistics for multiple lignocellulosic biomass feedstocks in the northeastern United States. (15th April 2020)

• Record Type: Journal Article
• Authors: Wang, Yuxi; Wang, Jingxin; Schuler, Jamie; Hartley, Damon; Volk, Timothy; Eisenbies, Mark
• Is Part Of: Energy. Volume 197(2020)
• Publication Date: 2020-04-15
• Subjects: Biomass feedstock -- Energy crops -- Bioenergy -- Bioproducts -- Supply chain management -- Modeling and optimization; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2020.117260
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: A mixed-integer linear programming model was developed to optimize the multiple biomass feedstock supply chains, including feedstock establishment, harvest, storage, transportation, and preprocessing. The model was applied for analyses of multiple biomass feedstocks at county level for 13 states in the northeastern United States. In the base case with a demand of 180, 000 dry Mg/year of biomass, the delivered costs ranged from $67.90 to $86.97 per dry Mg with an average of $79.58/dry Mg. The biomass delivered costs by county were from $67.90 to 150.81 per dry Mg across the northeastern U.S. Considered the entire study area, the delivered cost averaged $85.30/dry Mg for forest residues, $84.47/dry Mg for hybrid willow, $99.68 for switchgrass and $97.87 per dry Mg for Miscanthus. Seventy seven out of 387 counties could be able to deliver biomass at $84 per dry Mg or less a target set by US DOE by 2022. A sensitivity analysis was also conducted to evaluate the effects of feedstock availability, feedstock price, moisture content, procurement radius, and facility demand on the delivered cost. Our results showed that procurement radius, facility capacity, and forest residue availability were the most sensitive factors affecting the biomass delivered costs. Highlights: Developed a novel MILP model for optimizing multiple biomass feedstock supply chains. Conducted analyses at both regional and state levels. 20% counties in Northeast U.S. were able to deliver biomass to meet the DOE target by 2022. Identified important factors affecting biomass delivered cost.