In-situ Atmospheric Intelligence for Hybrid Power Grids: Volume 7 (Squad Energy and Power Scenario)

Abstract

The goal of this research was to better understand the implications of squad energy and power requirements/capabilities as they pertain to mission and atmospheric dependencies. The approach combined mathematical models of energy and power with relevant US Army events. The results found that including tactical resupply events with a conformable wearable photovoltaic (PV) array and a more unified conformable wearable battery reduced the unnecessary weight requirements imposed on the Soldier. As a consequence, the results imply that this enhancement can improve squad performance (mobility) and minimize Soldier cognitive burden while ensuring sufficient energy reserves. In the future, we plan to use the load requirements in combination with a power grid testbed to determine what PV requirements are needed to charge the nonstandard communication equipment batteries.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 2022
Accession Number
AD1171567

Entities

People

  • Corey M. James
  • Gail T. Vaucher
  • Gordon G. Parker
  • Michael D. Cook
  • Michael S. D'arcy
  • Michael S. Lee
  • Morris S. Berman
  • Robert Jane
  • Thomas K. Price

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Chemical Composition
  • Communication Equipment
  • Computational Science
  • Electrical Equipment
  • Electrical Grids
  • Energy Consumption
  • Energy Management
  • Energy Production
  • Energy Storage
  • Global Positioning Systems
  • Hybrid Power
  • Intelligence Collection
  • Load Monitoring
  • Mathematical Models
  • Military Operations
  • Military Personnel
  • Military Research
  • Multi-Domain Operations
  • Pulsed Power
  • Radio Communications
  • Spreadsheet Software

Readers

  • Solar Photovoltaics and Thermoelectric Devices.
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.