Modelling and optimisation of biomass supply chains: a review

Atashbar, Nasim Zandi; Labadie, Nacima; Prins, Christian

doi:10.1080/00207543.2017.1343506

Cited by 101 publications

(50 citation statements)

References 97 publications

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“…As with all agricultural products, seasonal harvest necessitates long-term storage in order to provide the emerging bioenergy industry with a continuous feedstock supply throughout the year. Presently, herbaceous feedstock supply logistics operations and associated models are centered around dry bales, with long-term storage existing as a field-side operation, in satellite storage facilities, or at a centralized storage facility at the biorefinery gate (Hess et al, 2009;Shah et al, 2017;Zandi Atashbar et al, 2017). The challenge with agricultural residues is that harvest conditions are optimized for the primary product, and thus there is less flexibility to control properties such as moisture content.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Assessment of a Chopped Feedstock Logistics Supply Chain for Corn Stover

et al. 2018

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Storing corn stover in wet, anaerobic conditions is an active management approach to reduce the risk of significant aerobic degradation and catastrophic loss due to fire. An estimated 50% of the corn stover available in the U.S. is too wet at the time of harvest to be stored safely in baled formats and is compatible with wet, anaerobic storage through ensiling. A logistics system based on field-chopping and particle size reduction early in the supply chain removes the dependency on field-drying of corn stover prior to baling, allows for an expanded harvest window, results in diminished size reduction requirements at the biorefinery, and is compatible with ensiling as a storage approach. The unit operations were defined for this chopped logistics system, which included field chopping, bulk transportation to a biorefinery site, on-site preprocessing to meet biorefinery size and ash specifications, industrial-scale storage through ensiling, and delivery of corn stover at a rate of 2,000 tonnes per day for ∼50% of the year. The chopped system was compared to the conventional bale system for 30% moisture (wet basis) corn stover, a likely delivered moisture content for baled corn stover harvested wet. Techno-economic analysis showed that the chopped logistics system is cost competitive, costing only 10% more than the baled logistics system, meanwhile reducing the energy consumption by 48% and greenhouse gas release by 60%. In summary, a chopped logistics system utilizing on-site preprocessing and storage at a biorefinery gate is an economically viable approach to provide a stable source of corn stover for use when dry bales are not available, meanwhile reducing the risk of loss in long-term storage.

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Section: Introductionmentioning

confidence: 99%

Techno-Economic Assessment of a Chopped Feedstock Logistics Supply Chain for Corn Stover

et al. 2018

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“…Zandi Atashbar et al (2018) comentan que la mayoría de las investigaciones que estudian la gestión de la cadena de suministro en el sector de la biomasa proceden de las áreas de agricultura o química. Los investigadores de dichas áreas son expertos en estos temas, pero, hay muy pocos especialistas en el área de investigación de operaciones que estén involucrados en el sector de la biomasa, siendo un ámbito importante de investigación y de aporte, por el conocimiento adquirido de otras áreas del sector industrial.…”

Section: Sector: Biomasaunclassified

Un análisis de revisiones de modelos y algoritmos para la optimización de planes de aprovisionamiento, producción y distribución de la cadena de suministro

Guzmán

Mula

Andrés

2020

DyO

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El propósito de este artículo es analizar los diferentes modelos y algoritmos utilizados para la optimización de planes de aprovisionamiento, producción y distribución en la cadena de suministro a través de las últimas revisiones de la literatura realizadas en este campo. Este estudio pretende proporcionar a los investigadores un punto de partida para la selección de modelos y algoritmos para la resolución de este tipo de problemas en la cadena de suministro y presentar varias líneas de investigación futuras.Palabras clave: Cadena de suministro; planificación; optimización; modelos; algoritmos; revisión de la literatura

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“…[18] The use of mathematical models to analyze the performance of the bioenergy supply chain has been widely studied in the literature. [19] Some authors, such as those of references [4,20,21], describe the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. According to references [5,22], one of the most important barriers to the development of a strong bioenergy sector is the cost of the biomass supply chain-specifically, the cost of SCR preparation, transport, and storage.…”

Section: Literature Review-bioenergy Supply Chain Optimizationmentioning

confidence: 99%

Supply Chain Optimization for Energy Cogeneration Using Sugarcane Crop Residues (SCR)

Manyoma-Velásquez¹,

Manotas-Duque²

2019

Sustainability

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Access to clean and non-polluting energy has been defined as a Sustainable Development Goal (SDG). In this context, countries such as Colombia have promoted policies and incentives for the implementation of energy projects with non-conventional sources of energy. One of the main energy alternatives available is related to the use of residual biomass left by agribusiness supply chains, such as sugarcane. In Colombia, sugar cane is grown and harvested all year round, due to the local tropical climate. The model we propose addresses the question of the selection of the plots whose crop residue will be transported for energy production on a given day. We built a Mixed-Integer Programming model to decide which plots to harvest on a given day. Although no additional energy is generated in the model, the results show that it is feasible to replace all coal used in the boilers with sugarcane crop residues (SCRs) for power cogeneration. Sustainability 2019, 11, 6565 2 of 15The use of agricultural crop residues in electrical co-generation processes has been widely discussed in the literature. Some authors, such as those of reference [3], systematically describe energy needs and targets, biofuel feedstocks, conversion processes, and provide a comprehensive review of biomass supply chain (BSC) design and modeling. In reference [4], the authors describe the key challenges and opportunities in the modeling and optimization of biomass-to-bioenergy supply chains. The optimization process of a biomass supply chain is essential to overcome barriers and uncertainties that may inhibit the development of a sustainable and competitive bioenergy market. In reference [5], the authors give an overview of the optimization techniques and models, focusing on decisions regarding the design and management of the upstream segment of the biomass-for-bioenergy supply chain. Another research approach is related to the integration of different optimization objectives in biomass supply chain models. There is a recent tendency to integrate economic, environmental, and social aspects in the evaluation and optimization of biomass supply chains. Some authors (for example, those of reference [6]) have reviewed the studies that assessed or optimized economic, social, and environmental aspects of forest biomass supply chains for the production of bioenergy and bio-products.The structure of this paper is as follows: In Section 1.2, we present a literature review of bioenergy supply chain optimization decisions. In Section 2, the optimization model is explained, taking into account the parameters, variables, objective functions, and constraints. Sections 3 and 4 present the results and discussion. Section 5 presents conclusions and future research options. The Julia code of the model is included as an appendix.

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Modelling and optimisation of biomass supply chains: a review

Cited by 101 publications

References 97 publications

Techno-Economic Assessment of a Chopped Feedstock Logistics Supply Chain for Corn Stover

Techno-Economic Assessment of a Chopped Feedstock Logistics Supply Chain for Corn Stover

Un análisis de revisiones de modelos y algoritmos para la optimización de planes de aprovisionamiento, producción y distribución de la cadena de suministro

Supply Chain Optimization for Energy Cogeneration Using Sugarcane Crop Residues (SCR)

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