TY - JOUR
T1 - Hybrid simulation framework for the production management of an ethanol biorefinery
AU - Kim, Sojung
AU - Kim, Sumin
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/3
Y1 - 2022/3
N2 - To make ethanol cost-competitive with gasoline, it is critical to devise a cost-effective production plan for ethanol refineries. However, unlike with petroleum refineries, the managers of the corn-based ethanol refineries are faced with multiple challenges. Particularly, the refineries should have a consistent production rate despite the uncertain yield of feedstock production that results from a dynamic environment, including climate change. In this study, a hybrid simulation framework was developed for operating biofuel refineries. The framework consisted of two major simulation platforms: (1) Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) for yield estimation of feedstock considering dynamic environmental factors and (2) simulation-based optimization with agent-based simulation (ABS) to identify the optimal production plan in terms of operational cost based on yield and relevant parameters given by ALMANAC. In ABS, eight major operations (e.g., milling, cooking, liquefaction, and fermentation) of a refinery were modeled via AnyLogic® ABS software to accurately compute operational costs. We used a geographic information system (GIS) map to compute transportation costs between feedstock farms, refineries, and consumers’ facilities. The proposed framework was demonstrated using real data of feedstock and ethanol production in Tazewell County, Illinois, U.S. The experiments identified that the ethanol production planning without considering feedstock loss could cause overproduction at a refinery. The daily overproduction costs with 28% dry matter and 45% dry matter are 23.56% and 14.07% of their total operational costs, respectively. The framework will provide a reliable and practical ethanol production plan considering feedstock supply under dynamic environmental factors.
AB - To make ethanol cost-competitive with gasoline, it is critical to devise a cost-effective production plan for ethanol refineries. However, unlike with petroleum refineries, the managers of the corn-based ethanol refineries are faced with multiple challenges. Particularly, the refineries should have a consistent production rate despite the uncertain yield of feedstock production that results from a dynamic environment, including climate change. In this study, a hybrid simulation framework was developed for operating biofuel refineries. The framework consisted of two major simulation platforms: (1) Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC) for yield estimation of feedstock considering dynamic environmental factors and (2) simulation-based optimization with agent-based simulation (ABS) to identify the optimal production plan in terms of operational cost based on yield and relevant parameters given by ALMANAC. In ABS, eight major operations (e.g., milling, cooking, liquefaction, and fermentation) of a refinery were modeled via AnyLogic® ABS software to accurately compute operational costs. We used a geographic information system (GIS) map to compute transportation costs between feedstock farms, refineries, and consumers’ facilities. The proposed framework was demonstrated using real data of feedstock and ethanol production in Tazewell County, Illinois, U.S. The experiments identified that the ethanol production planning without considering feedstock loss could cause overproduction at a refinery. The daily overproduction costs with 28% dry matter and 45% dry matter are 23.56% and 14.07% of their total operational costs, respectively. The framework will provide a reliable and practical ethanol production plan considering feedstock supply under dynamic environmental factors.
KW - Agent-based modeling
KW - Corn grain
KW - Crop growth model
KW - Ethanol
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85119432925&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2021.111911
DO - 10.1016/j.rser.2021.111911
M3 - Article
AN - SCOPUS:85119432925
SN - 1364-0321
VL - 155
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
M1 - 111911
ER -