Analyzing the Efficiency of Horizontal Photovoltaic Cells at Air Force Installations in Various Climate Regions

Abstract

The U.S. Air Force relies heavily on electrically powered facilities to ensure mission-critical capabilities can be carried out. Without a resilient electrical system in place, the U.S. Air Force could be without power for extended periods, resulting in severe implications. Installing a photovoltaic array on an installation is one strategy to improve energy resiliency. The amount of power a photovoltaic array can produce is reliant on its geographical location, position and weather characteristics. This research presents the development of linear regression models based upon 14 case studies from global Department of Defense (DoD) installations to predict horizontal photovoltaic power output. The model incorporates Koeppen-Geiger climate classifications with location-specific weather and geographical variables to predict horizontal photovoltaic power production. Both Koeppen-Geiger climate and weather variables were determined to provide added value to the model. From the analysis, it was determined that weather variables were able to account for 22% more variation within the validation set compared to climate variables.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1077142

Entities

People

  • Parker A. Hines

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air National Guard
  • Cells
  • Data Science
  • Data Set
  • Data Sets
  • Department Of Defense
  • Digital Data
  • Energy Systems
  • Engineering
  • Fossil Fuels
  • Governments
  • Grids
  • Jet Propulsion
  • Light Sources
  • Measurement
  • Observatories
  • Photovoltaic Effect
  • Production
  • Regression Analysis
  • Renewable Energy
  • Solar Cells
  • Solar Energy
  • Solar Panels
  • United States
  • United States Government

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.