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摘要翻译：
本文对全球所有主要自然能源的经济能源潜力进行了评估。这项工作是基于广泛的文献综述和使用自然资源评估数据的计算。经济潜力以成本-供应曲线的形式提出，包括可再生能源的能源流量，或化石和核资源的固定数量，特别强调不确定性，采用了一种能够进行直接比较的一致方法。为了通过现有的资源评估数据和相关的不确定性进行插值，基于不同类型资源的统计特性，给出了一个理论框架和计算方法，并通过数据进行了实证验证，贯穿始终。这项工作的目的是为自然能源资源提供一个全球数据库，以便纳入能源系统模型，同时能够引入自然资源评估的不确定性。补充材料提供了理论细节和数据和参数表，使这个广泛的数据库能够适应各种能源系统建模框架。
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英文标题：
《An assessement of global energy resource economic potentials》
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作者：
J. F. Mercure and P. Salas
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最新提交年份：
2012
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分类信息：
一级分类：Mathematics 数学
二级分类：Dynamical Systems 动力系统
分类描述：Dynamics of differential equations and flows, mechanics, classical few-body problems, iterations, complex dynamics, delayed differential equations
微分方程和流动的动力学，力学，经典的少体问题，迭代，复杂动力学，延迟微分方程
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一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Quantitative Finance 数量金融学
二级分类：General Finance 一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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英文摘要：
This paper presents an assessment of global economic energy potentials for all major natural energy resources. This work is based on both an extensive literature review and calculations using natural resource assessment data. Economic potentials are presented in the form of cost-supply curves, in terms of energy flows for renewable energy sources, or fixed amounts for fossil and nuclear resources, with strong emphasis on uncertainty, using a consistent methodology that allow direct comparisons to be made. In order to interpolate through available resource assessment data and associated uncertainty, a theoretical framework and a computational methodology are given based on statistical properties of different types of resources, justified empirically by the data, and used throughout. This work aims to provide a global database for natural energy resources ready to integrate into models of energy systems, enabling to introduce at the same time uncertainty over natural resource assessments. The supplementary material provides theoretical details and tables of data and parameters that enable this extensive database to be adapted to a variety of energy systems modelling frameworks.
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PDF链接：
https://arxiv.org/pdf/1205.4693
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