Waste-to-bioethanol supply chain network: A deterministic model

•A decision-making strategy for organic waste to bioethanol SCN is developed.•Techno-Economic Assessment of bioethanol SCN is considered.•A deterministic programming model for bioethanol SCN is developed.•A case study of bioethanol SCN in South Korea in 2030 is presented. Bioethanol (bio-EtOH) is co...

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Bibliographic Details
Published in:Applied energy Vol. 300; p. 117381
Main Authors: Kwon, Oseok, Han, Jeehoon
Format: Journal Article
Language:English
Published: Elsevier Ltd 15.10.2021
Subjects:
anaerobic digestion
bioethanol
Biofuel
biorefining
case studies
deterministic models
energy
Ethanol
Facility location
gasoline
Organic waste
organic wastes
South Korea
supply chain
Supply chain management
South Korea
Facility location
Organic waste
Supply chain management
Biofuel
Ethanol
ISSN:0306-2619, 1872-9118
Online Access:Get full text
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Summary:•A decision-making strategy for organic waste to bioethanol SCN is developed.•Techno-Economic Assessment of bioethanol SCN is considered.•A deterministic programming model for bioethanol SCN is developed.•A case study of bioethanol SCN in South Korea in 2030 is presented. Bioethanol (bio-EtOH) is commonly used as a renewable biofuel additive for gasoline. A novel technology producing bio-EtOH from anaerobic digestion of organic waste (OW) has recently attracted attention. This work presents a deterministic mixed integer linear programming model for the optimal location of OW-based bio-EtOH biorefineries. The proposed model considers OW treatment location, bio-EtOH biorefineries, and truck transport links as a supply chain network (SCN) approach. The objective function of the developed model is to minimize the total bio-EtOH levelized cost (ELC) while satisfying the model constraints consisting of equalities (e.g., mass and energy balances for the bio-EtOH biorefinery) and inequalities (e.g., capacity of the bio-EtOH refinery, truck transport) to meet the regional demands of bio-EtOH. To validate the optimization model, a case study based on a real scenario for South Korea in 2030 was conducted for different bio-EtOH blending rates (E10, E20, E85, E100). The case study results indicate that ELC of E10 containing 10% bio-EtOH from OW products combined with gasoline is USD 3.65/gallon. As the blending rate of bio-EtOH increases, ELC increases to USD 4.36/gallon for E20, USD 8.99/gallon for E85, and USD 10.05/gallon for E100. The optimization results can help determine SCN strategies for an OW-based biofuel economy.
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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2021.117381