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首页> 外文期刊>Biofuels, bioproducts & biorefining: Biofpr >Quantifying spatial dependencies, trade-offs and uncertainty in bioenergy costs: An Australian case study (1) - least cost production scale
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Quantifying spatial dependencies, trade-offs and uncertainty in bioenergy costs: An Australian case study (1) - least cost production scale

机译:量化生物能源成本的空间依赖性,权衡和不确定性:澳大利亚案例研究(1) - 最少的成本生产规模

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This paper analyzes costs of several biofuel production pathways in Australia from crop residues (stubble), a lignocellulosic feedstock. As well as land (and sea) transport suitable biofuels, we also consider electricity, and aviation biofuels. Some biofuel cost calculations assume a minimum processing plant scale, often based on contemporary fossil fuels production scales. The more theoretical approach here minimizes production cost by trading off processing and transport costs. Optimal scales and process component costs depend on feedstock spatial concentration; however total costs are less strongly dependent. Lower concentrations correspond to smaller processing plant and greater collection areas and costs. Processing costs are added to feedstock production and transport costs to derive biofuel supply cost ranges as a function of feedstock concentration in an Australian context. Sensitivity analysis then identifies significant parameters and confidence interval estimates. A companion paper generates Australian nationally aggregated supply cost curves. (c) 2014 Society of Chemical Industry and John Wiley & Sons, Ltd
机译:本文分析了澳大利亚几种生物燃料生产途径的成本,从作物残留物(茬),一种木质纤维素原料。以及土地(和海)运输合适的生物燃料,我们还考虑电力和航空生物燃料。一些生物燃料成本计算假设最低的加工厂规模,通常基于现代化石燃料生产尺度。此处越是理论上的方法通过交易加工和运输成本来最大限度地降低生产成本。最佳尺度和过程成本成本取决于原料空间浓度;然而,总成本依赖性较小。较低浓度对应于较小的加工厂和更大的收集区域和成本。加工成本被添加到原料生产和运输成本中,以获得生物燃料供应成本范围作为澳大利亚背景下的原料浓度的函数。然后,灵敏度分析识别显着的参数和置信区间估计。伴侣纸产生澳大利亚国家汇总供应成本曲线。 (c)2014化学工业协会和约翰瓦里和儿子有限公司

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