LAPSE:2021.0181
Published Article
LAPSE:2021.0181
Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study
Xinchao Li, Xin Jin, Shan Lu, Zhe Li, Yue Wang, Jiangtao Cao
April 16, 2021
This paper presents a dual-objective optimization model for production scheduling of bioethanol plant with carbon-efficient strategies. The model is developed throughout the bioethanol production process. Firstly, the production planning and scheduling of the bioethanol plant’s transportation, storage, pretreatment, and ethanol manufacturing are fully considered. Secondly, the carbon emissions in the ethanol manufacturing process are integrated into the model to form a dual-objective optimization model that simultaneously optimizes the production plan and carbon emissions. The effects of different biomass raw materials with optional pelletization density and pretreatment methods on production scheduling are analyzed. The influence of demand and pretreatment cost on selecting a pretreatment method and total profit is considered. A membership weighted method is developed to solve the dual-objective model. The carbon emission model and economic model are integrated into one model for analysis. An example is given to verify the effectiveness of the optimization model. At the end of the paper, the limitation of this study is discussed to provide directions for future research.
Keywords
bioethanol plant, carbon emission, dual-objective optimization, Scheduling
Suggested Citation
Li X, Jin X, Lu S, Li Z, Wang Y, Cao J. Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study. (2021). LAPSE:2021.0181
Author Affiliations
Li X: School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China
Jin X: School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China [ORCID]
Lu S: Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen 518055, China
Li Z: College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Wang Y: School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China [ORCID]
Cao J: School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China
Journal Name
Processes
Volume
8
Issue
9
Article Number
E1189
Year
2020
Publication Date
2020-09-18
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8091189, Publication Type: Journal Article
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LAPSE:2021.0181
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doi:10.3390/pr8091189
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Apr 16, 2021
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Calvin Tsay
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