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

Journal Article · · Big Earth Data
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Univ. at Buffalo, NY (United States). Computer Science and Engineering Dept.; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Urban Dynamics Inst.
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Science and Engineering Division
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Urban Dynamics Inst.

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 in this paper, we survey the highest priority data needs and analytical methods for inclusion on such a platform.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1560337
Alternate ID(s):
OSTI ID: 1488702
Journal Information:
Big Earth Data, Vol. 2, Issue 3; ISSN 2096-4471
Country of Publication:
United States
Language:
English

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Figures / Tables (5)