Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota
Faced with increasing concerns over the negative environmental impact due to human and industrial activities, biomass industry practitioners and policy makers have great interest in green supply chains to reduce carbon emissions from supply chain activities. There are many studies which model the bi...
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Language: | English |
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Wiley
2019-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2019/5978753 |
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author | Yong Shin Park Joseph Szmerekovsky Alan Dybing |
author_facet | Yong Shin Park Joseph Szmerekovsky Alan Dybing |
author_sort | Yong Shin Park |
collection | DOAJ |
description | Faced with increasing concerns over the negative environmental impact due to human and industrial activities, biomass industry practitioners and policy makers have great interest in green supply chains to reduce carbon emissions from supply chain activities. There are many studies which model the biomass supply chain and its environmental impact. However, animal waste sourced biogas supply chain has not received much attention in the literature. Biogas from animal manure not only provides energy efficiency, but also minimizes carbon emissions compared to existing biomass products. Therefore, this study proposes a mixed integer linear program that minimizes total supply costs and carbon emissions from an animal waste sourced biogas supply chain while it also incorporates carbon price in the model to see the impact of a carbon policy on tactical and strategic supply chain decisions. To validate the model proposed, a case study of North Dakota is adopted where there is a high potential for a biogas plant to be developed. The results of our optimization experiment indicate that supply chain performance in terms of both costs and emissions is very sensitive to a carbon pricing mechanism. |
format | Article |
id | doaj-art-6265ae82b9684bd5ad1abb7484a959ef |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-6265ae82b9684bd5ad1abb7484a959ef2025-02-03T06:10:58ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/59787535978753Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North DakotaYong Shin Park0Joseph Szmerekovsky1Alan Dybing2Department of Management, Bill Munday School of Business, St. Edward’s University, Austin, TX 78704, USADepartment of Transportation, Logistics, and Finance, College of Business, North Dakota State University, Fargo, ND 58108, USADepartment of Transportation, Logistics, and Finance, College of Business, North Dakota State University, Fargo, ND 58108, USAFaced with increasing concerns over the negative environmental impact due to human and industrial activities, biomass industry practitioners and policy makers have great interest in green supply chains to reduce carbon emissions from supply chain activities. There are many studies which model the biomass supply chain and its environmental impact. However, animal waste sourced biogas supply chain has not received much attention in the literature. Biogas from animal manure not only provides energy efficiency, but also minimizes carbon emissions compared to existing biomass products. Therefore, this study proposes a mixed integer linear program that minimizes total supply costs and carbon emissions from an animal waste sourced biogas supply chain while it also incorporates carbon price in the model to see the impact of a carbon policy on tactical and strategic supply chain decisions. To validate the model proposed, a case study of North Dakota is adopted where there is a high potential for a biogas plant to be developed. The results of our optimization experiment indicate that supply chain performance in terms of both costs and emissions is very sensitive to a carbon pricing mechanism.http://dx.doi.org/10.1155/2019/5978753 |
spellingShingle | Yong Shin Park Joseph Szmerekovsky Alan Dybing Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota Journal of Advanced Transportation |
title | Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota |
title_full | Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota |
title_fullStr | Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota |
title_full_unstemmed | Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota |
title_short | Optimal Location of Biogas Plants in Supply Chains under Carbon Effects: Insight from a Case Study on Animal Manure in North Dakota |
title_sort | optimal location of biogas plants in supply chains under carbon effects insight from a case study on animal manure in north dakota |
url | http://dx.doi.org/10.1155/2019/5978753 |
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