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Assessment of the feedstock supply for siting single- and multiple-feedstock biorefineries in the USA and identification of prevalent feedstocks

机译:评估美国和多原料生物档的原料供应,并在美国鉴定普遍原料

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An integrated multi-feedstock bioenergy (i.e., biofuel, biopower, or bioproduct) supply system has potential to reduce biomass supply system uncertainties and costs. This study identifies optimal configurations of multi-feedstock biomass-to-biorefinery supply chains and pertinent feedstock combinations based on spatial distribution of feedstock and lowest delivered cost to the biorefinery. We used the Supply Characterization Model (SCM) to allocate feedstock supplies to candidate biorefinery facilities. Model runs were performed for herbaceous energy crops, agriculture residue, and woody biomass available in 2017, 2022, 2025, and 2030 as estimated by the Policy Analysis System (POLYSYS) and Forest Sustainable and Economic Analysis Model (ForSEAM) models. Three feedstock supply scenarios were compared: (a) an herbaceous scenario: switchgrass, miscanthus, biosorghum, and corn stover; (b) a woody scenario: coppice wood, noncoppice wood, whole trees, and forestry residues, and (c) a mixed scenario: a combination of all feedstocks in herbaceous and woody scenarios. By 2030 the analyses predicted that 323, 168, and 473 biorefineries were sited in the herbaceous, woody, and mixed scenario, respectively, in the conterminous USA. Feedstock mixes supplied to the biorefineries were mostly dominated by a single feedstock. The most prominent feedstock mixes identified were: (1) switchgrass and miscanthus; (2) coppice and noncoppice wood; and (3) coppice wood, noncoppice wood, switchgrass and miscanthus. Biorefineries using multi-feedstock would be beneficial for growth of bioeconomy, however flexible and cost-effective conversion platforms should be developed to efficiently utilize multiple feedstocks. This analysis identifies biorefinery locations and feedstock supply mixes while minimizing delivered feedstock costs based on spatial and temporal feedstock availability. (c) 2020 Society of Chemical Industry and John Wiley & Sons, Ltd
机译:一种集成的多原料生物能源(即生物燃料,生物燃烧器或BioProduct)供应系统有可能降低生物质供应系统的不确定性和成本。该研究识别基于原料的空间分布和最低递送的成本,识别多原料生物量对生物烹饪供应链和相关原料组合的最佳配置。我们使用供应表征模型(SCM)来分配原料用品以候选生物饮食设施。 2017年,2022,2025和2030年可用的草本能源作物,农业残留物和木本生物量进行模型运行,该模型由政策分析系统(Polysys)和森林可持续和经济分析模型(Forseam)模型估计。比较了三种原料供应场景:(a)草本情景:Switchgrass,Miscanthus,Biosorghum和玉米秸秆; (b)木质场景:Coppice木材,非折叠木材,整个树木和林业残留物,以及(c)混合情景:在草本和木质场景中的所有原料组合。到2030到2030分析预测,在孔雀石美国分别在草本,木质和混合情景中围起323,168和473个生物猎物。供应给生物料的原料混合物主要由单一原料支配。鉴定的最突出的原料混合物是:(1)SwitchGrass和Miscanthus; (2)COPPICE和非耐木质; (3)COPPICE木材,非折叠木材,切换曲和MISCANTHUS。使用多原料的生物料对生物经济的生长是有益的,然而,应开发灵活且经济高效的转换平台以有效地利用多种原料。该分析识别生物炉屎位置和原料供应混合,同时基于空间和时间原料可用性最小化输送的原料成本。 (c)2020化学工业协会和约翰瓦里和儿子有限公司

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