Development and application of BioFeed model for optimization of herbaceous biomass feedstock production

Shastri, Yogendra; Hansen, Alan C.; Rodríguez, L. F.; Ting, K. C.

doi:10.1016/j.biombioe.2011.03.035

Cited by 44 publications

(36 citation statements)

References 28 publications

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“…Another important aspect of a low cost lignocellulosic biomass supply is efficient storage and pre-processing methods [5]. The fact that grass is harvested at low dry matter (DM) typically of 18e20% DM makes dry storage at >90% DM troublesome.…”

Section: Introductionmentioning

confidence: 99%

Ensiling as biological pretreatment of grass (Festulolium Hykor): The effect of composition, dry matter, and inocula on cellulose convertibility

Ambye‐Jensen

Johansen

Didion

et al. 2013

Biomass and Bioenergy

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. (2013). Ensiling as biological pretreatment of grass (Festulolium Hykor): The effect of composition, dry matter, and inocula on cellulose convertibility. Biomass & Bioenergy, 58, 303-312. DOI: 10.1016/j.biombioe.2013 Our reference: JBB 3333 Dear Author, Please check your proof carefully and mark all corrections at the appropriate place in the proof (e.g., by using on-screen annotation in the PDF file) or compile them in a separate list. Note: if you opt to annotate the file with software other than Adobe Reader then please also highlight the appropriate place in the PDF file. To ensure fast publication of your paper please return your corrections within 48 hours.For correction or revision of any artwork, please consult http://www.elsevier.com/artworkinstructions.Any queries or remarks that have arisen during the processing of your manuscript are listed below and highlighted by flags in the proof. Location in articleQuery / Remark: Click on the Q link to find the query's location in text Please insert your reply or correction at the corresponding line in the proof Q1 As Refs.[3] and [28] were identical, the latter has been removed from the reference list and subsequent references have been renumbered. Q2Please confirm that given names and surnames have been identified correctly.Please check this box or indicate your approval if you have no corrections to make to the PDF file , Thank you for your assistance. HighlightsEnsiling is studied as a pretreatment for cellulolytic conversion of grass.Ensiling is shown to improve enzymatic cellulose convertibility of grass. Low dry matter improved the ensiling process for organic acids production. High levels of lactic acid after ensiling improved enzymatic cellulose conversion. Grass composition prior to ensiling affected ensiling and cellulose convertibility. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 b i o m a s s a n d b i o e n e r g y x x x ( 2 0 1 3 ) 1 production, but the low dry matter in grass at harvest calls for new pretreatment strategies for cellulosic conversion. In this study, ensiling was tested as a biological pretreatment method of the high yielding grass variety Festulolium Hykor. The biomass was harvested in four cuts over a growing season. Three important factors of ensiling: biomass composition, dry matter (DM) at ensiling, and inoculation of lactic acid bacteria, were assessed in relation to subsequent enzymatic cellulose hydrolysis. The organic acid profile after ensiling was dependant on the composition of the grass and the DM, rather than on the inocula.High levels of organic acids, notably lactic acid, produced during ensiling improved enzymatic cellulose convertibility in the grass biomass. Ensiling of less mature grass gave higher convertibility. Low DM at ensiling (<25%) resulted in the highest cellulose convertibilities, which ranged from 32 to 70% of the available cellulose in the four cuts after ensiling. The study confirms...

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Section: Introductionmentioning

confidence: 99%

Ensiling as biological pretreatment of grass (Festulolium Hykor): The effect of composition, dry matter, and inocula on cellulose convertibility

Ambye‐Jensen

Johansen

Didion

et al. 2013

Biomass and Bioenergy

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“…Models were used to investigate impact of size reduction and compression of biomass on supply chain costs and to study how long-term decisions interact with short-time decisions. Visualization tools and vehicle dispatch schemes were developed to display model results and optimize vehicle operating schedules (Shastri et al 2011(Shastri et al , 2014aLin et al 2014). …”

Section: Systems Approach For Problem Solving and Decision Makingmentioning

confidence: 99%

Engineering solutions for food-energy-water systems: it is more than engineering

et al. 2016

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physical framework comprised of systems informatics, information analysis methods and tools, and systems analytics and decision support could provide a viable approach for addressing FEW system challenges. A fundamental requirement for implementing the framework is data. Needed data are often difficult to obtain; for example, while much agricultural production system data are collected, the data are not generally available. A priority for addressing FEW system challenges must be development of mechanisms for widespread curation and sharing of data; a few such efforts are underway. Implementing the framework also requires many collaborations. Creating new collaborations among multiple disciplines and organizations to implement the framework could be aided by convergence thinking, which engages approaches to problem solving that transcend disciplines and integrates knowledge from the physical, biological, social, and mathematical sciences and engineering to form comprehensive and integrated thinking at the interfaces of areas. A variety of organizations, private and public, can help in facilitating collaboration and partnerships among the disciplines. Government agencies, industry, academia, and professional societies can all play significant roles in furthering collaboration to address challenges in integrated FEW systems using a systems approach.

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“…Engineering research has focused significantly on improving technology, operations, and system design for feedstock production [11][12][13][14][15][16][17][18]. This research is extremely important to identify better technologies, system bottlenecks, and operating practices.…”

Section: Introductionmentioning

confidence: 99%

“…The important decision-making steps for each class are modeled using a set of rules, which includes economic as well as social aspects of decision making. BioFeed model has been used to model and optimize crop production operations by farmers [11,12]. The regulatory aspects are also factored into the decision-making process.…”

Section: Introductionmentioning

confidence: 99%

Agent-Based Analysis of Biomass Feedstock Production Dynamics

et al. 2011

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The success of the bioenergy sector based on lignocellulosic feedstock will require a sustainable and resilient transition from the current agricultural system focused on food crops to one also producing energy crops. The dynamics of this transition are not well understood. It will be driven significantly by the collective participation, behavior, and interaction of various stakeholders such as farmers within the production system. The objective of this work is to study the system dynamics through the development and application of an agent-based model using the theory of complex adaptive systems. Farmers and biorefinery, two key stakeholders in the system, are modeled as independent agents. The decision making of each agent as well as its interaction with other agents is modeled using a set of rules reflecting the economic, social, and personal attributes of the agent. These rules and model parameters are adapted from literature. Regulatory mechanisms such as Biomass Crop Assistance Program are embedded in the decision-making process. The model is then used to simulate the production of Miscanthus as an energy crop in Illinois. Particular focus has been given on understanding the dynamics of Miscanthus adaptation as an agricultural crop and its impact on biorefinery capacity and contractual agreements. Results showed that only 60% of the maximum regional production capacity could be reached, and it took up to 15 years to establish that capacity. A 25% reduction in the land opportunity cost led to a 63% increase in the steadystate productivity. Sensitivity analysis showed that higher initial conversion of land by farmers to grow energy crop led to faster growth in regional productivity.

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Development and application of BioFeed model for optimization of herbaceous biomass feedstock production

Cited by 44 publications

References 28 publications

Ensiling as biological pretreatment of grass (Festulolium Hykor): The effect of composition, dry matter, and inocula on cellulose convertibility

Ensiling as biological pretreatment of grass (Festulolium Hykor): The effect of composition, dry matter, and inocula on cellulose convertibility

Engineering solutions for food-energy-water systems: it is more than engineering

Agent-Based Analysis of Biomass Feedstock Production Dynamics

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