A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass
Abstract
In this paper we propose a model to design the supply chain for densified biomass. Rail is typically used for longhaul, high-volume shipment of densified biomass. This is the reason why a hub-and-spoke network structure is used to model this supply chain. The model is formulated as a multi-objective, mixed-integer programing problem under economic, environmental, and social criteria. The goal is to identify the feasibility of meeting the Renewable Fuel Standard (RFS) by using biomass for production of cellulosic ethanol. The focus is not just on the costs associated with meeting these standards, but also exploring the social and environmental benefits that biomass production and processing offers by creating new jobs and reducing greenhouse gas (GHG) emissions. We develop an augmented ?-constraint method to find the exact Pareto solution to this optimization problem. We develop a case study using data from the Mid-West. The model identifies the number, capacity and location of biorefineries needed to make use of the biomass available in the region. The model estimates the delivery cost of cellulosic ethanol under different scenario, the number new jobs created and the GHG emission reductions in the supply chain.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- DOE - EE
- OSTI Identifier:
- 1214252
- Report Number(s):
- INL/CON-14-32055
- DOE Contract Number:
- DE-AC07-05ID14517
- Resource Type:
- Conference
- Resource Relation:
- Conference: 2014 Industrial and Systems Engineering Research Conference,Montreal, Canada,05/31/2014,06/03/2014
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; Multi-objective optimization, Hub-and-spoke supply
Citation Formats
Jacobson, Jacob J., Roni, Md. S., Cafferty, Kara G., and Eksioglu, Sandra D. A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass. United States: N. p., 2014.
Web.
Jacobson, Jacob J., Roni, Md. S., Cafferty, Kara G., & Eksioglu, Sandra D. A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass. United States.
Jacobson, Jacob J., Roni, Md. S., Cafferty, Kara G., and Eksioglu, Sandra D. 2014.
"A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass". United States. https://www.osti.gov/servlets/purl/1214252.
@article{osti_1214252,
title = {A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass},
author = {Jacobson, Jacob J. and Roni, Md. S. and Cafferty, Kara G. and Eksioglu, Sandra D.},
abstractNote = {In this paper we propose a model to design the supply chain for densified biomass. Rail is typically used for longhaul, high-volume shipment of densified biomass. This is the reason why a hub-and-spoke network structure is used to model this supply chain. The model is formulated as a multi-objective, mixed-integer programing problem under economic, environmental, and social criteria. The goal is to identify the feasibility of meeting the Renewable Fuel Standard (RFS) by using biomass for production of cellulosic ethanol. The focus is not just on the costs associated with meeting these standards, but also exploring the social and environmental benefits that biomass production and processing offers by creating new jobs and reducing greenhouse gas (GHG) emissions. We develop an augmented ?-constraint method to find the exact Pareto solution to this optimization problem. We develop a case study using data from the Mid-West. The model identifies the number, capacity and location of biorefineries needed to make use of the biomass available in the region. The model estimates the delivery cost of cellulosic ethanol under different scenario, the number new jobs created and the GHG emission reductions in the supply chain.},
doi = {},
url = {https://www.osti.gov/biblio/1214252},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 01 00:00:00 EDT 2014},
month = {Sun Jun 01 00:00:00 EDT 2014}
}