Potential U.S. Production of Liquid Hydrocarbons from Biomass with Addition of Massive External Heat and Hydrogen Inputs Supplementary Dataset

This dataset provides a detailed assessment of U.S. biomass production potential and their potential for conversion into liquid hydrocarbon fuels under various market scenarios. It builds on the dataset from the U.S. Department of Energy and U.S. Department of Agriculture's Billion Ton Report 2023 (BTR2023), by incorporating additional sources of carbon: adjusting BTR2023 assumptions and considering more speculative biomass resources. The dataset is organized in the following columns, each resource is assessed based on its abundance within the corresponding market case: Class / Sub-Class / Resource: Categorises biomass resources into classes and sub-classes, based on those found in the BTR2023, with speculative additions appended. Dry Feedstock Mass: On a resource-by-resource basis, quantifies biomass production across five market scenarios, ranging from current production to speculative upper-bound estimates. It includes contributions from agriculture, forestry, and waste sectors, with additional speculative sources from practices such as double cropping, reclaimed land, and macroalgae cultivation. (million dry tons per year) Energy from Burning: Presents the maximum recoverable energy from burning the dry biomass resources. (quadrillion BTU per year) Dry Feedstock Mass Carbon: Presents the percentage carbon content of each biomass resource. (%) Dry Mass Carbon: Presents the (theoretical maximum) absolute carbon content of each resource (available for conversion into liquid hydrocarbons). (billion kg per year) Mass Diesel: Presents the equivalent mass of produced liquid hydrocarbons of diesel, according to the IEA standard. (billion kg) Mol Carbon: Presents the annual available amount of biomass-derived carbon. (mol C per year) Equivalent Diesel Energy Estimate: Estimates the amount of diesel-equivalent fuel that could be produced from available biomass under the assumption of ideal conversion process, and external, low-carbon hydrogen and heat inputs. (million barrel per year & quadrillion BTU per year) Hydrogen Demand: Provides annual hydrogen requirements for each scenario, reflecting the role of hydrogen in removing oxygen from biomass during conversion processes. (billion kg per year) This dataset supports a systematic evaluation of how U.S. biomass resources, when paired with massive external heat and hydrogen inputs, could meet a significant portion of national liquid hydrocarbon demand while achieving net-negative carbon emissions. It is intended for policymakers, researchers, and industry stakeholders to explore sustainable pathways for decarbonizing the transportation and chemical sectors.本数据集对美国生物质生产潜力，以及其在多种市场情景下转化为液态烃燃料的潜力进行了详细评估。本数据集以美国能源部（U.S. Department of Energy）与美国农业部（U.S. Department of Agriculture）发布的《2023年十亿吨报告》（Billion Ton Report 2023, BTR2023）的数据集为基础，新增了碳来源：调整了BTR2023的假设条件，并纳入了更多推测性生物质资源。本数据集按以下列组织，各资源均根据对应市场情景下的丰度进行评估： 1. 类别/子类别/资源（Class / Sub-Class / Resource）：参照BTR2023中的分类方式，将生物质资源划分为类别与子类别，并追加了推测性新增资源。 2. 干原料质量（Dry Feedstock Mass）：针对各单项资源，量化了五种市场情景下的生物质产量，范围涵盖当前生产水平至推测性上限估算。数据涵盖农业、林业与废弃物部门的贡献，还包括复种、复垦土地、大型藻类养殖等途径的新增推测性资源。（单位：每年百万干吨） 3. 燃烧可回收能量（Energy from Burning）：展示了燃烧干生物质资源可获得的最大可回收能量。（单位：每年千万亿英热单位） 4. 干原料碳含量（Dry Feedstock Mass Carbon）：展示了各生物质资源的碳含量百分比。（单位：百分比） 5. 干物质碳量（Dry Mass Carbon）：展示了各资源的（理论最大）绝对碳含量（可用于转化为液态烃）。（单位：每年十亿千克） 6. 柴油等效质量（Mass Diesel）：根据国际能源署（IEA）标准，展示了产出的液态烃对应的柴油等效质量。（单位：十亿千克） 7. 生物质碳摩尔量（Mol Carbon）：展示了每年可获得的生物质衍生碳总量。（单位：每年摩尔碳） 8. 等效柴油能量估算值（Equivalent Diesel Energy Estimate）：在转化工艺理想、且可获得外部低碳氢气与热源输入的假设下，估算了可从可用生物质中产出的柴油等效燃料总量。（单位：每年百万桶与每年千万亿英热单位） 9. 氢气需求量（Hydrogen Demand）：提供了各情景下的年度氢气需求，反映了氢气在生物质转化过程中脱除氧的作用。（单位：每年十亿千克） 本数据集支持系统性评估：当搭配大量外部热源与氢气输入时，美国生物质资源可在多大程度上满足国内液态烃燃料需求，同时实现净负碳排放。本数据集旨在供政策制定者、研究人员与行业利益相关方探索交通与化工领域脱碳的可持续路径。