The Experts below are selected from a list of 903 Experts worldwide ranked by ideXlab platform
Thomas Christiansen - One of the best experts on this subject based on the ideXlab platform.
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Risk-Based Assessment of Unplanned Outage Events and Costs for Combined-Cycle Plants
Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2013Co-Authors: Dale Grace, Thomas ChristiansenAbstract:Unexpected Outages and maintenance costs reduce plant availability and can consume significant resources to restore the unit to service. This paper describes a survey and analysis of Unplanned Outage events for 388 combined-cycle plants, based on 164 D/E-Class and 224 F-Class gas turbines. The 15-year timeframe included over 3000 unit-years of data. The causes and durations of forced Outages and unscheduled maintenance were identified, and overall reliability and availability were established for each class of plant. Costs to restore the unit to service for each main Outage cause were estimated, as were net revenues lost due to Unplanned Outages. A statistical approach to estimated costs and lost revenues provides a risk-based means to quantify the impact of Unplanned events on plant cash flow as a function of class of gas turbine and plant subsystem. The risk-based assessment defines the range of probable costs of Unplanned Outage events.
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Risk-Based Assessment of Unplanned Outage Events and Costs for Combined-Cycle-Plants
Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers; Industrial and Cogeneration, 2012Co-Authors: Dale Grace, Thomas ChristiansenAbstract:Unexpected Outages and maintenance costs reduce plant availability and can consume significant resources to restore the unit to service. Although companies may have the means to estimate cash flow requirements for scheduled maintenance and on-going operations, estimates for Unplanned maintenance and its impact on revenue are more difficult to quantify, and a large fleet is needed for accurate assessment of its variability. This paper describes a study that surveyed 388 combined-cycle plants based on 164 D/E-class and 224 F-class gas turbines, for the time period of 1995 to 2009. Strategic Power Systems, Inc. (SPS®), manager of the Operational Reliability Analysis Program (ORAP®), identified the causes and durations of forced Outages and unscheduled maintenance and established overall reliability and availability profiles for each class of plant in 3 five-year time periods. This study of over 3,000 unit-years of data from 50 Hz and 60 Hz combined-cycle plants provides insight into the types of events having the largest impact on Unplanned Outage time and cost, as well as the risks of lost revenue and Unplanned maintenance costs which affect plant profitability. Outage events were assigned to one of three subsystems: the gas turbine equipment, heat recovery steam generator (HRSG) equipment, or steam turbine equipment, according to the Electric Power Research Institute’s Equipment Breakdown Structure (EBS). Costs to restore the unit to service for each main Outage cause were estimated, as were net revenues lost due to Unplanned Outages. A statistical approach to estimated costs and lost revenues provides a risk-based means to quantify the impact of Unplanned events on plant cash flow as a function of class of gas turbine, plant subsystem, and historical timeframe. This statistical estimate of the costs of Unplanned Outage events provides the risk-based assessment needed to define the range of probable costs of Unplanned events. Results presented in this paper demonstrate that non-fuel operation and maintenance costs are increased by roughly 8% in a typical combined-cycle power plant due to Unplanned maintenance events, but that a wide range of costs can occur in any single year.Copyright © 2012 by ASME
Dale Grace - One of the best experts on this subject based on the ideXlab platform.
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Risk-Based Assessment of Unplanned Outage Events and Costs for Combined-Cycle Plants
Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2013Co-Authors: Dale Grace, Thomas ChristiansenAbstract:Unexpected Outages and maintenance costs reduce plant availability and can consume significant resources to restore the unit to service. This paper describes a survey and analysis of Unplanned Outage events for 388 combined-cycle plants, based on 164 D/E-Class and 224 F-Class gas turbines. The 15-year timeframe included over 3000 unit-years of data. The causes and durations of forced Outages and unscheduled maintenance were identified, and overall reliability and availability were established for each class of plant. Costs to restore the unit to service for each main Outage cause were estimated, as were net revenues lost due to Unplanned Outages. A statistical approach to estimated costs and lost revenues provides a risk-based means to quantify the impact of Unplanned events on plant cash flow as a function of class of gas turbine and plant subsystem. The risk-based assessment defines the range of probable costs of Unplanned Outage events.
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Risk-Based Assessment of Unplanned Outage Events and Costs for Combined-Cycle-Plants
Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers; Industrial and Cogeneration, 2012Co-Authors: Dale Grace, Thomas ChristiansenAbstract:Unexpected Outages and maintenance costs reduce plant availability and can consume significant resources to restore the unit to service. Although companies may have the means to estimate cash flow requirements for scheduled maintenance and on-going operations, estimates for Unplanned maintenance and its impact on revenue are more difficult to quantify, and a large fleet is needed for accurate assessment of its variability. This paper describes a study that surveyed 388 combined-cycle plants based on 164 D/E-class and 224 F-class gas turbines, for the time period of 1995 to 2009. Strategic Power Systems, Inc. (SPS®), manager of the Operational Reliability Analysis Program (ORAP®), identified the causes and durations of forced Outages and unscheduled maintenance and established overall reliability and availability profiles for each class of plant in 3 five-year time periods. This study of over 3,000 unit-years of data from 50 Hz and 60 Hz combined-cycle plants provides insight into the types of events having the largest impact on Unplanned Outage time and cost, as well as the risks of lost revenue and Unplanned maintenance costs which affect plant profitability. Outage events were assigned to one of three subsystems: the gas turbine equipment, heat recovery steam generator (HRSG) equipment, or steam turbine equipment, according to the Electric Power Research Institute’s Equipment Breakdown Structure (EBS). Costs to restore the unit to service for each main Outage cause were estimated, as were net revenues lost due to Unplanned Outages. A statistical approach to estimated costs and lost revenues provides a risk-based means to quantify the impact of Unplanned events on plant cash flow as a function of class of gas turbine, plant subsystem, and historical timeframe. This statistical estimate of the costs of Unplanned Outage events provides the risk-based assessment needed to define the range of probable costs of Unplanned events. Results presented in this paper demonstrate that non-fuel operation and maintenance costs are increased by roughly 8% in a typical combined-cycle power plant due to Unplanned maintenance events, but that a wide range of costs can occur in any single year.Copyright © 2012 by ASME
Shan Hua-ping - One of the best experts on this subject based on the ideXlab platform.
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Summarization of Converter Transformer Operation and Maintenance of EHVDC Power Transmission Systems
Power system technology, 2009Co-Authors: Shan Hua-pingAbstract:In China, EHVDC power transmission systems have been put into operation for twenty years.In this paper, the statistics and analysis on faults and detects of EHVDC converter transformers and smoothing reactors are carried out, and the conclusion that the incorrect operations and insulation bushing faults are the main reason leading to Unplanned Outage of converter transformers and smoothing reactors is obtained.For main faults and detects of converter transformers and smoothing reactors, some suggestions on their operation and maintenance are proposed to remedy the insufficiency in operation and maintenance of EHVDC equipments.
Chen Guo-nian - One of the best experts on this subject based on the ideXlab platform.
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Analysis of Unplanned Outage of Unit in Jiangsu Electric Power System
Jiangsu Electrical Engineering, 2006Co-Authors: Chen Guo-nianAbstract:Based on the analysis of Unplanned Outage of unit in Jiangsu electric power system for several years,finding out the main factors which affect the Unplanned Outage of unit,put forwarding the measures which can reduce the Unplanned Outage of unit,providing some methods to improve the reliability for generating unit in Jiangsu Electric power system.
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Reliability analysis of large units of Jiangsu Power Grid
East China Electric Power, 2006Co-Authors: Chen Guo-nianAbstract:The reliability of large units with 10-year-long operation record in Jiangsu Power Grid is analyzed,and the internal changing principle of reliability indices for these units is obtained through comparison.The major factors causing Unplanned Outage are analyzed,providing reference for reliability improvement for units.
Xu Hongru - One of the best experts on this subject based on the ideXlab platform.
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Application of Generators Unplanned Outage Monitoring of Shanxi Power Grid
2015Co-Authors: Xu HongruAbstract:To solve the problem of generators Unplanned Outage in Shanxi power grid, we developed the monitoring module of harmonious dispatch supporting system by using its on-line monitoring function. By analyzing, we can predict in advance the potential risks and the cause of generators Unplanned Outage. The application effectively filled the blank of the impact on the security and stability of Shanxi Power Grid, which not only prepared for the power balance in days or a few days ago, but also made a strong technical support for the safe and stable operation of the power grid.
