Author :
Armstrong, S. ; Benn, Caleb ; Kubokawa, Alicia ; Prim, Kelly
Abstract :
United States consumption of fossil fuels has been increasing at a rate of 8.4% since 1990 and is expected to grow by 28% from 2011 to 2040. Executive Order 13514, Federal Leadership in Environmental, Energy and Economic Performance, sets sustainability goals for federal agencies to reduce dependency on fossil fuels and decrease greenhouse gas emissions. The Federal Aviation Administration has over 4,300 registered vehicles in its motor fleet, and must reduce its emissions by 12.3% by 2020. This system provides an analysis of the life cycle costs and emissions reduction of the motor vehicle fleet at the William J. Hughes Technical Center. The analysis includes alternatives of low speed electric vehicles, neighborhood electric vehicles, and compressed natural gas vehicles. Three models are used to do analysis: (1) the demand model is a discrete-event simulation, used to determine the inventory needed to meet demand. Examples of demand events are mail delivery, and material shipping. The demand model´s input is a vehicle inventory, and its outputs are metrics measuring the inventory´s ability to meet demand. (2) A life cycle cost model composed of a deterministic and stochastic portions. The deterministic portion calculates preventive maintenance, overhead, and acquisition costs. The stochastic piece is a Monte Carlo simulation that projects energy consumption costs, corrective maintenance costs, and CO2 emissions through 2020. (3) A utility analysis to compare alternatives. Preliminary results indicate that the status quo inventory will not meet the requirements for GHG emission reduction. However, by reducing inventory and introducing electric vehicles, the requirements can be met while staying within current operating budgets. Based on the preliminary results, it is recommended that the FAA gradually introduce electric vehicles on an annual basis into their inventory to meet their sustainment goals by 2020.
Keywords :
Monte Carlo methods; activity based costing; air pollution control; aircraft; discrete event simulation; environmental legislation; Executive Order 13514; FAA technical center; Federal Aviation Administration; Federal Leadership in Environmental Energy and Economic Performance; Monte Carlo simulation; United States; acquisition cost; campus motor fleet analysis; compressed natural gas vehicles; demand model; discrete-event simulation; emissions reduction; fossil fuel consumption; greenhouse gas emissions reduction; life cycle cost model; low speed electric vehicles; neighborhood electric vehicles; overhead cost; preventive maintenance cost; utility analysis; Analytical models; Data models; FAA; Maintenance engineering; Petroleum; Vehicles;