Date of Award

3-10-2010

Document Type

Thesis

Degree Name

Master of Science in Cost Analysis

Department

Department of Systems Engineering and Management

First Advisor

Eric J. Unger, PhD

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, cost, and emissions produced under 5-day workweeks and compressed work schedules. The research provides energy managers a template for evaluating compressed work schedules as a means to improve energy efficiency. The study found 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, cost, 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.

AFIT Designator

AFIT-GCA-ENV-10-M01

DTIC Accession Number

ADA518646

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