An Evaluation of Compressed Work Schedules and Their Impact on Electricity Use

Abstract

As the largest energy consumer in the United States, the Department of Defense must consider all fiscally responsible means to improve energy efficiency. Budgetary and environmental concerns are a catalyst for numerous initiatives designed to reduce energy consumption. Congressional mandates outline the rate at which agencies must reduce facility energy use. In this study, Monte Carlo simulation was used to compare electricity consumption, costs, and emissions produced under 5-day work weeks versus compressed work schedules in two buildings at Wright-Patterson Air Force Base in Ohio. The research provides energy managers a template for evaluating compressed work schedules as a means to improve energy efficiency. The study found that the relationship between the amount of electricity consumed on duty and non-duty days determines the effectiveness of compressed work schedules in improving energy efficiency. Electricity use in the test facilities on non-duty days was 72 to 90 percent of duty-day consumption. The resulting difference in electricity consumption, costs, and emissions was less than one percent when implementing compressed work schedules. Compressed work schedules can incrementally improve energy efficiency for facilities with lower levels of electricity consumption on non-duty days. Therefore, energy managers will achieve greater gains in energy efficiency by improving the facilities themselves rather than focusing on the use of the buildings.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA518646

Entities

People

  • Ryan R. Archambault-miliner

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Business Administration
  • Climate Change
  • Climate Change Adaptation
  • Department Of Defense
  • Energy Conservation
  • Energy Consumption
  • Energy Efficiency
  • Energy Management
  • Environment
  • Management Personnel
  • Monte Carlo Method
  • National Governments
  • Personnel Management
  • Test Facilities
  • United States

Fields of Study

  • Engineering

Readers

  • Aerospace logistics and air mobility.
  • Computational Linguistics
  • Energy Conservation and Renewable Energy Engineering.