Multi-scale process and supply chain modelling: from feedstock to process and products

Hosseini, Seyed Ali; Abedpour, Atiyeh; Yu, Mingyen

doi:10.1016/b978-0-444-59507-2.50113-x

Cited by 4 publications

(7 citation statements)

References 6 publications

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“…Therefore, how to organize the production and logistics to take full advantage of bioenergy resources is crucial, from the aspect of either supply chain or manufacturing. Especially for sustainable development, supply chain network design and logistics problems throughout the whole production and transportation process should be conducted [7,8].…”

Section: Introductionmentioning

confidence: 99%

Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study

Jin

et al. 2020

Processes

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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.

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Section: Introductionmentioning

confidence: 99%

Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study

Jin

et al. 2020

Processes

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“…This is then multiplied by the transportation cost per unit vehicle respectively. Since the biomasses are transported to the plant individually, we look at the unit transportation cost of the biomass in terms of the plant k rather than the cultivation, as shown by equation (14). (14) (15) (16) When comes to taxation and subsidies, the total taxation charge is related to the profit before tax as well as the government taxation rate every year.…”

Section: Conversion Technologymentioning

confidence: 99%

“…Moreover, there has been some reasonable technological development in bioconversion methods over the past decide. However, a question that has gone unconsidered in the literature is how technological developments in processing technologies and the life cycle of bioethanol feedstock will affect the overall supply chain [14].…”

Section: Introductionmentioning

confidence: 99%

“…Dunnett et al [11] demonstrated the use of mixed integer linear programming model to determine production capacity allocation, optimized layout and flow of a distributed network of a biomass to heat supply chain system using a state-task-network approach. Franceschin et al [12] and Giarola et al [13] addressed the design of the bioethanol SC under multiple technological options with the help of mixed integer linear programming optimization and Hosseini et al [14] described the key challenges in bioenergy supply chain modelling and developed a framework and methodology to show how multi-scale modelling can answer these supply chain questions.…”

Section: Introductionmentioning

confidence: 99%

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Technology selection for bioethanol production: supply chain perspective

Yu¹,

Hosseini²,

Korokas³

2014

Bioethanol

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There is a large body of literatures regarding the choice and optimization of different processes for bioethanol and bio-commodities production. However, most of these works are focusing either on single unit of operation or single conversion facility. As these operations are heavily related, it is essential to consider all of them at the supply chain level. In this work, an optimization model for biomass to ethanol supply chain is developed, which takes into account economics and environments as primary objectives. The developed model is used to compare the efficiency of several pre-treatment methods: Dilute-Sulphuric acid, Organosolv and Soaking in Ethanol and Aqueous Ammonia pre-treatment methods, together with Thermochemical conversion in Minnesota, USA. It can be concluded that currently, Dilute-Sulphuric acid pretreatment is still the most profitable method for ethanol production. However, Organosolv pre-treatment process is the most promising technology accessed since it captures most of the lignin present in the feedstock, which is a significant source of CO 2 emission if sent for combustion. We believe that the future of technology selection for biomass conversion should be focusing on the holistic view of the entire supply chain, and our approach represents a dependable way to obtain the required results.

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“…However, Biorefineries are only a part of an entire supply chain and to achieve their sustainability, a value chain approach which ensures energy access and affordability must be taken into consideration by planning and designing these biorefineries with respect to their supply chains. This involves all activities involved in making strategic decisions ranging from feedstock selection to actual production and consumption by the end-user Abedpour;Yu, 2012;Jungmeier, 2015;Palmeros Parada;Osseweijer;Posada Duque, 2017).…”

Section: Introductionmentioning

confidence: 99%

Strategic planning of sustainable integrated biofuel and petroleum fuel supply chains

Moses¹

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Multi-scale process and supply chain modelling: from feedstock to process and products

Cited by 4 publications

References 6 publications

Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study

Carbon-Efficient Production Scheduling of a Bioethanol Plant Considering Diversified Feedstock Pelletization Density: A Case Study

Technology selection for bioethanol production: supply chain perspective

Strategic planning of sustainable integrated biofuel and petroleum fuel supply chains

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