Logistics of Renewable Raw Materials

Fröhling, Magnus; Schweinle, Jörg; Meyer, Jörn-Christian; Schultmann, Frank

doi:10.1002/9783527634194.ch4

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…However, unlike fossil resources, biomass feedstock, due to low energy density, favors a cost-effective short-distance transportation, resulting in a decentralized network structure with small-or medium-scale conversion plants (Fiedler, Lange, & Schultze, 2007;Kaltschmitt, Hartmann, & Hofbauer, 2009;Kudakasseril Kurian, Raveendran Nair, Hussain, & Vijaya Raghavan, 2013;Wiese, 2013;Yue, You, & Snyder, 2014). The integration of this trade-off assumption between EoS and transportation costs requires advanced modeling techniques to assess biomass valorization pathways while incorporating various types of biomass feedstock, the multiplicity of conversion processes, and many output products (Fröhling, Schweinle, Meyer, & Schultmann, 2011;Sharma, Ingalls, Jones, & Khanchi, 2013). Numerous models analyze biomass valorization pathways (Ba et al, 2016;Garcia & You, 2015;Yadav & Yadav, 2016), but disregard the trade-off assumption (Batidzirai, 2013;Shastri, Rodriguez, Hansen, & Ting, 2012) and the price elasticity of the biomass feedstock (Panichelli & Gnansounou, 2008).…”

Section: Location Planning (Biolocate)mentioning

confidence: 99%

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

et al. 2018

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Diminishing fossil carbon resources, global warming, and increasing material and energy needs urge for the rapid development of a bioeconomy. Biomass feedstock from agro‐industrial value chains provides opportunities for energy and material production, potentially leading to competition with traditional food and feed production. Simulation and optimization models can support the evaluation of biomass value chains and identify bioeconomy development paths, potentials, opportunities, and risks. This study presents the linkage of a farm model (EFEM) and a techno‐economic location optimization model (BIOLOCATE) for evaluating the straw‐to‐energy and the innovative straw‐to‐chemical value chains in the German federal state of Baden‐Wuerttemberg taking into account the spatially distributed and price‐sensitive nature of straw supply. The general results reveal the basic trade‐off between economies of scale of the energy production plants and the biorefineries on the one hand and the feedstock supply costs on the other hand. The results of the farm model highlight the competition for land between traditional agricultural biomass utilization such as food and feed and innovative biomass‐to‐energy and biomass‐to‐chemical value chains. Additionally, farm‐modeling scenarios illustrate the effect of farm specialization and regional differences on straw supply for biomass value chains as well as the effect of high straw prices on crop choices. The technological modeling results show that straw combustion could cover approximately 2% of Baden‐Wuerttemberg's gross electricity consumption and approximately 35% of the district heating consumption. The lignocellulose biorefinery location and size are affected by the price sensitivity of the straw supply and are only profitable for high output prices of organosolv lignin. The location optimization results illustrate that economic and political framework conditions affect the regional distribution of biomass straw conversion plants, thus favoring decentralized value chain structures in contrast to technological economies of scale.

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Section: Location Planning (Biolocate)mentioning

confidence: 99%

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

et al. 2018

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“…(ii) In the second step, synthesis of EADI proceeded through two routes. (a) In the first route, DI, acetone, epichlorohydrin and 1,8-diazabicyclo [5,4,0]undec-7-ene (DBU) were charged into a three-neck round-bottom flask equipped with a mechanical stirrer. The mixture was stirred at room temperature for 3 h. Subsequently to remove the acetone, raw product was diluted with methylbenzene and then washed with deionized water several times.…”

Section: Bio-based Epoxy Resins Derived From Iamentioning

confidence: 99%

“…They are better alternatives to chemicals derived from petroleum feedstock. Gradually, they are increasing in the public consciousness, and as a result a higher demand for bio‐based materials and products is considered as an effective approach to reduce the dependency on petroleum resources and protect the living environment …”

Section: Introductionmentioning

confidence: 99%

Itaconic acid used as a versatile building block for the synthesis of renewable resource‐based resins and polyesters for future prospective: a review

Kumar

Krishnan

Samal

et al. 2017

Polymer International

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Itaconic acid, a carbohydrate‐derived aliphatic dicarboxylic acid, is a potential chemical for the synthesis of renewable resource‐based resins and polyesters. Owing to environmental reasons, there is a gradual demand for renewable resources in the chemical industry. Conversely, as a rather underappreciated side effect of this growth, novel chemical building blocks are obtained, which are not commercially derived from petrochemical sources. In this respect, itaconic acid has attracted much attention and its trifunctional structure leads to the synthesis of novel polymeric materials. This review discusses the most relevant information for bio‐based resins and polyesters resulting from itaconic acid and distinctive properties for various commercial applications. © 2017 Society of Chemical Industry

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“…This is a complex issue since it involves not only the logistical aspects [12] but also the efforts regarding agricultural technologies and biomass treatment for further conversion. From this perspective, innovation in the initial chain stage involves a wide range of knowledge domains.…”

Section: Raw Materialsmentioning

confidence: 99%

Innovation dynamics in the biobased industry

Bomtempo¹,

Alves²

2014

Chem. Biol. Technol. Agric.

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This paper studies the biobased industry evolution as an innovation process, as this approach allows us to widen the current perspective of most literature in this field, by offering insights into the current mechanism as well as the future possibilities of this industry. This new industry, which is still in its infancy, conceals a number of interrelated alternatives in four key dimensions: raw materials, conversion technologies, products, and business models. Considering an emerging industry, the selection environment is complex and the competitive patterns are not yet established. Product and process innovations occur intensely without the existence of dominant designs or enabling technologies. Entry and exit barriers are low, with coexisting innovators from different knowledge backgrounds proposing several concepts and building diverse technological trajectories. In this context, Brazil seems to possess some comparative advantages due to its experience in first-generation ethanol production and related agricultural developments, as well as the successful experience with green polyethylene. Nonetheless, this country faces important challenges concerning the four key dimensions explored in this paper. As the biobased industry develops, government support and private initiatives need to align in order to move the country to a prominent position.

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Logistics of Renewable Raw Materials

Cited by 8 publications

References 21 publications

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

Itaconic acid used as a versatile building block for the synthesis of renewable resource‐based resins and polyesters for future prospective: a review

Innovation dynamics in the biobased industry

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