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Streamlining the Design Tradespace for Earth Imaging ConstellationsSatellite constellations and Distributed Spacecraft Mission (DSM) architectures offer unique benefits to Earth observation scientists and unique challenges to cost estimators. The Cost and Risk (CR) module of the Tradespace Analysis Tool for Constellations (TAT-C) being developed by NASA Goddard seeks to address some of these challenges by providing a new approach to cost modeling, which aggregates existing Cost Estimating Relationships (CER) from respected sources, cost estimating best practices, and data from existing and proposed satellite designs. Cost estimation through this tool is approached from two perspectives: parametric cost estimating relationships and analogous cost estimation techniques. The dual approach utilized within the TAT-C CR module is intended to address prevailing concerns regarding early design stage cost estimates, and offer increased transparency and fidelity by offering two preliminary perspectives on mission cost. This work outlines the existing cost model, details assumptions built into the model, and explains what measures have been taken to address the particular challenges of constellation cost estimating. The risk estimation portion of the TAT-C CR module is still in development and will be presented in future work. The cost estimate produced by the CR module is not intended to be an exact mission valuation, but rather a comparative tool to assist in the exploration of the constellation design tradespace. Previous work has noted that estimating the cost of satellite constellations is difficult given that no comprehensive model for constellation cost estimation has yet been developed, and as such, quantitative assessment of multiple spacecraft missions has many remaining areas of uncertainty. By incorporating well-established CERs with preliminary approaches to approaching these uncertainties, the CR module offers more complete approach to constellation costing than has previously been available to mission architects or Earth scientists seeking to leverage the capabilities of multiple spacecraft working in support of a common goal.
Document ID
20170000388
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Nag, Sreeja
(Bay Area Environmental Research Inst. Moffett Field, CA, United States)
Hughes, Steven P.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Le Moigne, Jacqueline J.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
January 12, 2017
Publication Date
September 13, 2016
Subject Category
Computer Programming And Software
Economics And Cost Analysis
Report/Patent Number
GSFC-E-DAA-TN35648
Meeting Information
Meeting: AIAA Space 2016
Location: Long Beach, CA
Country: United States
Start Date: September 13, 2016
End Date: September 15, 2016
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNX12AD05A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Science Data Processing
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