A Robust Design Approach to Cost Estimation: Solar Energy for Marine Corps Expeditionary Operations

Abstract

Life Cycle Cost (LCC) assessments are of interest during the design phase for new systems. These often involve costs that must be estimated from a variety of different sub-models, including cost models constructed from historical data, forecast models that attempt to predict future economic conditions, and economy-of-scale models that impact production schedules, and more. When these disparate models are put together to obtain an overall cost model, many of these individual sources of uncertainty end up being aggregated or ignored. Consequently, the cost estimates may not provide program managers with appropriate assessments of the risk and overall variability of the new systems. We propose a structured approach for obtaining robust LCC estimates by taking into account a broad set of environmental noise conditions. This will enable program managers to better understand the uncertainty in their overall estimates, and to identify any decision factor combinations that result in both low costs and low cost variability. This may provide guidance on which of the many potential uncertainty sources require close monitoring, and which can safely be disregarded. We illustrate this approach with a model the USMC is evaluating for use in cost/benefit analysis of alternative energy systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 14, 2014
Accession Number
ADA612965

Entities

People

  • Daniel A. Nussbaum
  • Mary L. Mcdonald
  • Matthew M. Morse
  • Stephen C. Upton
  • Susan M. Sanchez

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Business Administration
  • Climate Change Adaptation
  • Cost Estimates
  • Energy
  • Energy Conservation
  • Energy Production
  • Energy Systems
  • Experimental Design
  • Life Cycle Costs
  • Life Cycles
  • Operations Research
  • Public Policy
  • Radiation
  • Renewable Energy
  • Solar Energy
  • Solar Radiation
  • United States

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Energy Conservation and Renewable Energy Engineering.
  • Logistics and Supply Chain Management.