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Reliability of natural gas cogeneration systems. Final report, January 1990-September 1992

Technical Report ·
OSTI ID:6639628
;
The operational reliability (OR) of 122 natural gas-fueled cogeneration systems was evaluated. The systems ranged in size from small packaged reciprocating systems of less than 100 kW to utility-scale gas turbine systems of greater than 100 MW. Data were collected during visits to the project sites and included copies of daily operations and maintenance (O M) logs. These data sources were essential to the accuracy and verifiability of OR performance statistics. Statistical data included availability, forced outage rate, and mean time between forced outages. Data analyzed included scheduled and unscheduled outage events, written descriptions of the failure cause, downtime durations, equipment operating hours, and electrical and thermal generation statistics. More than 9,500 maintenance event descriptions are described in a special OR performance analysis data base developed for the project. As a result of the work, a practical framework for collecting and organizing plant O M data is presented. Illustrative methods are included that demonstrate how reliability improvement opportunities can be identified and analyzed.
Research Organization:
Arinc Research Corp., Annapolis, MD (United States)
OSTI ID:
6639628
Report Number(s):
PB-93-161362/XAB; CNN: GRI-5089-293-1870
Country of Publication:
United States
Language:
English

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Related Subjects

02 PETROLEUM
020300 -- Petroleum-- Drilling & Production
20 FOSSIL-FUELED POWER PLANTS
200100* -- Fossil-Fueled Power Plants-- Power Plants & Power Generation
COGENERATION
COST
COST ESTIMATION
DATA
DATA BASE MANAGEMENT
DATA PROCESSING
DEUS
ELECTRIC POWER
ENERGY SOURCES
ENGINES
FLUIDS
FOSSIL FUELS
FUEL GAS
FUELS
GAS FUELS
GAS TURBINE POWER PLANTS
GASES
HEAT ENGINES
INFORMATION
INTERNAL COMBUSTION ENGINES
MANAGEMENT
MATHEMATICAL MODELS
NATURAL GAS
NUMERICAL DATA
PERFORMANCE TESTING
POWER
POWER GENERATION
POWER PLANTS
PROCESSING
RELIABILITY
STATISTICAL DATA
STEAM GENERATION
SYSTEMS ANALYSIS
TESTING