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A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework

机译:包含在新的能源-水关系知识发现框架中的分析方法的调查

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The energy-water nexus, or the dependence of energy on water and water on energy, continues to receive attention as impacts on both energy and water supply and demand from growing populations and climate-related stresses are evaluated for future infrastructure planning. Changes in water and energy demand are related to changes in regional temperature, and precipitation extremes can affect water resources available for energy generation for those regional populations. Additionally, the vulnerabilities to the energy and water nexus are beyond the physical infrastructures themselves and extend into supporting and interdependent infrastructures. Evaluation of these vulnerabilities relies on the integration of the disparate and distributed data associated with each of the infrastructures, environments and populations served, and robust analytical methodologies of the data. A capability for the deployment of these methods on relevant data from multiple components on a single platform can provide actionable information for interested communities, not only for individual energy and water systems, but also for the system of systems that they comprise. Here, we survey the highest priority data needs and analytical methods for inclusion on such a platform.
机译:能源与水的关系,即能源对水的依赖以及水对能源的依赖,由于日益增长的人口对能源和水供需的影响以及与气候有关的压力而被评估,以备将来的基础设施规划之用,继续受到关注。水资源和能源需求的变化与区域温度的变化有关,极端降雨会影响那些区域人口可用于能源生产的水资源。此外,能源和水联系的脆弱性不仅限于物理基础架构本身,还扩展到支持和相互依赖的基础架构。对这些漏洞的评估取决于与服务的每个基础架构,环境和总体相关联的分散和分布式数据的集成,以及可靠的数据分析方法。在单个平台上的多个组件上的相关数据上部署这些方法的能力不仅可以为感兴趣的社区提供可操作的信息,不仅可以为单个的能源和水系统,还可以为它们所组成的系统提供信息。在这里,我们调查了最高优先级数据需求和分析方法,以将其包含在该平台中。

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