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Title: Impact of distributed energy resources on the reliability of a critical telecommunications facility.

Abstract

This report documents a probabilistic risk assessment of an existing power supply system at a large telecommunications office. The focus is on characterizing the increase in the reliability of power supply through the use of two alternative power configurations. Telecommunications has been identified by the Department of Homeland Security as a critical infrastructure to the United States. Failures in the power systems supporting major telecommunications service nodes are a main contributor to major telecommunications outages. A logical approach to improve the robustness of telecommunication facilities would be to increase the depth and breadth of technologies available to restore power in the face of power outages. Distributed energy resources such as fuel cells and gas turbines could provide one more onsite electric power source to provide backup power, if batteries and diesel generators fail. The analysis is based on a hierarchical Bayesian approach and focuses on the failure probability associated with each of three possible facility configurations, along with assessment of the uncertainty or confidence level in the probability of failure. A risk-based characterization of final best configuration is presented.

Authors:
; ; ;  [1]
  1. National Renewable Energy Laboratory, Golden, CO
Publication Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
921741
Report Number(s):
SAND2006-1277
TRN: US200806%%137
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 30 DIRECT ENERGY CONVERSION; AVAILABILITY; CONFIGURATION; ELECTRIC POWER; FUEL CELLS; GAS TURBINES; POWER SYSTEMS; PROBABILITY; RELIABILITY; RISK ASSESSMENT; SECURITY; Risk assessment.; Infrastructure (Economics); United States; Telecommunication systems; United States.

Citation Formats

Robinson, David, Zuffranieri, Jason V, Atcitty, Christopher B, and Arent, Douglas. Impact of distributed energy resources on the reliability of a critical telecommunications facility.. United States: N. p., 2006. Web. doi:10.2172/921741.
Robinson, David, Zuffranieri, Jason V, Atcitty, Christopher B, & Arent, Douglas. Impact of distributed energy resources on the reliability of a critical telecommunications facility.. United States. https://doi.org/10.2172/921741
Robinson, David, Zuffranieri, Jason V, Atcitty, Christopher B, and Arent, Douglas. 2006. "Impact of distributed energy resources on the reliability of a critical telecommunications facility.". United States. https://doi.org/10.2172/921741. https://www.osti.gov/servlets/purl/921741.
@article{osti_921741,
title = {Impact of distributed energy resources on the reliability of a critical telecommunications facility.},
author = {Robinson, David and Zuffranieri, Jason V and Atcitty, Christopher B and Arent, Douglas},
abstractNote = {This report documents a probabilistic risk assessment of an existing power supply system at a large telecommunications office. The focus is on characterizing the increase in the reliability of power supply through the use of two alternative power configurations. Telecommunications has been identified by the Department of Homeland Security as a critical infrastructure to the United States. Failures in the power systems supporting major telecommunications service nodes are a main contributor to major telecommunications outages. A logical approach to improve the robustness of telecommunication facilities would be to increase the depth and breadth of technologies available to restore power in the face of power outages. Distributed energy resources such as fuel cells and gas turbines could provide one more onsite electric power source to provide backup power, if batteries and diesel generators fail. The analysis is based on a hierarchical Bayesian approach and focuses on the failure probability associated with each of three possible facility configurations, along with assessment of the uncertainty or confidence level in the probability of failure. A risk-based characterization of final best configuration is presented.},
doi = {10.2172/921741},
url = {https://www.osti.gov/biblio/921741}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 01 00:00:00 EST 2006},
month = {Wed Mar 01 00:00:00 EST 2006}
}