Atmospheric Renewable Energy Research, Volume 4: Atmospheric Renewable Energy Field Study Number 2 (ARE2)

Abstract

Harvesting energy from local resources (such as the sunlight) and integrating these into traditional microgrids is one way to establish tactical power grid independence. Traditional generators have an optimum setting for maximizing fuel economy. Coupling these generators with solar power requires anticipating and exploiting ideal atmospheric contributions that best match the traditional generators optimum operating requirements. This ideal was the goal behind the Atmospheric Renewable Energy Field Study number 2 (ARE2). ARE2 has produced a novel and detailed power, solar radiation, and cloud/sky documentation data set. The potential services provided by the data set range from basic research seeking to investigate improved understanding of cloud impacts on solar radiation to practical research applications that seek to develop algorithms to empower diagnostic and predictive solar radiation tools tailored specifically for grid power production. This report was written to establish a common starting point for those seeking to use and exploit this data set.

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Document Details

Document Type
Technical Report
Publication Date
Oct 30, 2017
Accession Number
AD1040872

Entities

People

  • Clayton Walker
  • Gail Tirrell Vaucher
  • Jenna Forrester
  • Michael Curtice
  • Renea Young
  • Sean D'arcy

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Cloud Cover
  • Data Acquisition
  • Data Processing
  • Data Sets
  • Electrical Grids
  • Energy
  • Generators
  • Global Positioning Systems
  • Load Monitoring
  • Radiation
  • Renewable Energy
  • Solar Energy
  • Solar Radiation
  • Sunlight
  • Training

Readers

  • Computer Science.
  • Economics
  • Energy Conservation and Renewable Energy Engineering.