Impact of Distributed Energy Resources on the Reliability of Critical Telecommunications Facilities: Preprint
Abstract
This paper documents a probabilistic risk assessment of existing and alternative power supply systems at a large telecommunications office. The analysis characterizes the increase in the reliability of power supply through the use of two alternative power configurations. Failures in the power systems supporting major telecommunications service nodes are a main contributor to significant telecommunications outages. A logical approach to improving the robustness of telecommunication facilities is to increase the depth and breadth of technologies available to restore power during power outages. Distributed energy resources such as fuel cells and gas turbines could provide additional on-site electric power sources 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:
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 888692
- Report Number(s):
- NREL/CP-620-40220
TRN: US200618%%339
- DOE Contract Number:
- AC36-99-GO10337
- Resource Type:
- Conference
- Resource Relation:
- Conference: To be presented at INTELEC 2006 (International Telecommunications Energy Conference), 10-14 September 2006, Providence, Rhode Island
- 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; DISTRIBUTED ENERGY RESOURCES; TELECOMMUNICATIONS FACILITIES; TELECOMMUNICATIONS; FEDERAL COMMUNICATIONS COMMISSION; FCC; UNIVERSAL POWER SYSTEMS; ELECTRICAL INFRASTRUCTURE; Energy Analysis
Citation Formats
Robinson, D G, Arent, D J, and Johnson, L. Impact of Distributed Energy Resources on the Reliability of Critical Telecommunications Facilities: Preprint. United States: N. p., 2006.
Web.
Robinson, D G, Arent, D J, & Johnson, L. Impact of Distributed Energy Resources on the Reliability of Critical Telecommunications Facilities: Preprint. United States.
Robinson, D G, Arent, D J, and Johnson, L. 2006.
"Impact of Distributed Energy Resources on the Reliability of Critical Telecommunications Facilities: Preprint". United States. https://www.osti.gov/servlets/purl/888692.
@article{osti_888692,
title = {Impact of Distributed Energy Resources on the Reliability of Critical Telecommunications Facilities: Preprint},
author = {Robinson, D G and Arent, D J and Johnson, L},
abstractNote = {This paper documents a probabilistic risk assessment of existing and alternative power supply systems at a large telecommunications office. The analysis characterizes the increase in the reliability of power supply through the use of two alternative power configurations. Failures in the power systems supporting major telecommunications service nodes are a main contributor to significant telecommunications outages. A logical approach to improving the robustness of telecommunication facilities is to increase the depth and breadth of technologies available to restore power during power outages. Distributed energy resources such as fuel cells and gas turbines could provide additional on-site electric power sources 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 = {},
url = {https://www.osti.gov/biblio/888692},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 01 00:00:00 EDT 2006},
month = {Thu Jun 01 00:00:00 EDT 2006}
}