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Energies 2017, 10(8), 1137; doi:10.3390/en10081137

Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain

1
Mechanical Engineering Department, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA
2
Environmental Sciences Division, Oak Ridge National Laboratory, One Bethel Rd., Oak Ridge, TN 37831, USA
*
Author to whom correspondence should be addressed.
Received: 28 June 2017 / Revised: 31 July 2017 / Accepted: 31 July 2017 / Published: 3 August 2017
(This article belongs to the Special Issue Biomass for Energy Country Specific Show Case Studies)
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Abstract

Variability on the physical characteristics of feedstock has a relevant effect on the reactor’s reliability and operating cost. Most of the models developed to optimize biomass supply chains have failed to quantify the effect of biomass quality and preprocessing operations required to meet biomass specifications on overall cost and performance. The Integrated Biomass Supply Analysis and Logistics (IBSAL) model estimates the harvesting, collection, transportation, and storage cost while considering the stochastic behavior of the field-to-biorefinery supply chain. This paper proposes an IBSAL-SimMOpt (Simulation-based Multi-Objective Optimization) method for optimizing the biomass quality and costs associated with the efforts needed to meet conversion technology specifications. The method is developed in two phases. For the first phase, a SimMOpt tool that interacts with the extended IBSAL is developed. For the second phase, the baseline IBSAL model is extended so that the cost for meeting and/or penalization for failing in meeting specifications are considered. The IBSAL-SimMOpt method is designed to optimize quality characteristics of biomass, cost related to activities intended to improve the quality of feedstock, and the penalization cost. A case study based on 1916 farms in Ontario, Canada is considered for testing the proposed method. Analysis of the results demonstrates that this method is able to find a high-quality set of non-dominated solutions. View Full-Text
Keywords: renewable energy; bioenergy; biofuels; biomass; supply chain network design; logistics; discrete-event simulation; optimization; simulation-based optimization renewable energy; bioenergy; biofuels; biomass; supply chain network design; logistics; discrete-event simulation; optimization; simulation-based optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Chavez, H.; Castillo-Villar, K.K.; Webb, E. Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain. Energies 2017, 10, 1137.

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