In this study, a mixed integer linear programming model that integrates multimodal transport—truck and rail—into the switchgrass-based bioethanol supply chain was formulated. The objective of this study was to minimize the total cost for cultivation and harvesting, infrastructure, the storage process, bioethanol production, and transportation. Strategic decisions, including the number and location of intermodal facilities and biorefineries, and tactical decisions, such as the amount of biomass shipped, processed, and converted into bioethanol, were validated by using North Dakota as a case study. It was found that the multimodal transport scenario was more cost effective than a single mode of transport (truck) and resulted in a lower cost for bioethanol. A sensitivity analysis was conducted to demonstrate the impact of key factors in the decision to use multimodal transport in a switchgrass-based bioethanol supply chain and on the cost of bioethanol.
Integrated Multimodal Transportation Model for a Switchgrass-Based Bioethanol Supply Chain: Case Study in North Dakota
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2628 , 1 ; 32-41
2017-01-01
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Integrated Multimodal Transportation Model for a Switchgrass-Based Bioethanol Supply Chain
Online Contents | 2017
|Transportation Profile: North Dakota
NTIS | 2002
Transportation System Needs Assessment in North Dakota Using GIS-Based Techniques
British Library Conference Proceedings | 1996
|North Dakota highway safety study
Engineering Index Backfile | 1955
|