Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty

O'Neill, Eric G.; Martinez-Feria, Rafael A.; Basso, Bruno; Maravelias, Christos T.

doi:10.1016/j.compchemeng.2022.107724

Title: Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty

Journal Article · Fri Apr 01 00:00:00 EDT 2022 · Computers and Chemical Engineering

DOI:https://doi.org/10.1016/j.compchemeng.2022.107724· OSTI ID:1845155

; Martinez-Feria, Rafael A.; Basso, Bruno;

This paper proposes an integrated stochastic mixed-integer linear programming model for biofuel supply chain and landscape design optimization that considers the interactions between uncertainty in biomass yield, spatially explicit feedstock availability, supply chain configuration, operational decisions, and the system's environmental impact. By modeling crop establishment and fertilization as strategic decisions made before the realization of uncertainty, model solutions identify integrated supply chain configurations better suited to mitigate uncertain biomass yields. Importantly, the paper presents an approach for gathering and processing the large amount of necessary real-world data, including an accurate accounting of soil carbon sequestration. A case study located in Michigan, USA, demonstrating the capabilities of the integrated model with realistic data, is presented. Results at a variety of harvesting site resolutions and number of uncertainty scenarios, show that large-scale instances, at fine spatial resolutions, identify attractive environmental solutions and that solving the stochastic problem leads to an economic benefit.

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Research Organization:: Univ. of Wisconsin, Madison, WI (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: DE–SC0018409; SC0018409

OSTI ID:: 1845155

Alternate ID(s):: OSTI ID: 1977014

Journal Information:: Computers and Chemical Engineering, Journal Name: Computers and Chemical Engineering Vol. 160 Journal Issue: C; ISSN 0098-1354

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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