Combined Measurement Uncertainty on Two Dependent Performance Tests

2005 ◽  
Author(s):  
Mehdi Soltani ◽  
Ron Dieck ◽  
Sang Ip
Keyword(s):  
Power Plant ◽  
Uncertainty Analysis ◽  
Measurement Uncertainty ◽  
Performance Test ◽  
Heat Rate ◽  
Combined Cycle ◽  
Combined Cycle Power Plant ◽  
Systematic Uncertainties ◽  
Electrical Output ◽  
Test Uncertainty

Measurement uncertainty analysis plays an important role in the evaluation process of the net electrical output and the net heat rate during a power plant performance test. Aside from the technical aspect of the test, it bears very significant commercial consequences for the test parties. The ASME Performance Test Codes (PTC19.1) provides elaborative guidelines for test uncertainty analysis. In a combined cycle power plant test, the test uncertainty is heavily influenced by the measuring devices, corrections to reference conditions, and the method by which the test is conducted. A rigorous measurement uncertainty analysis is required to document and minimize the potential gap between the test results and the “actual true” net electrical output and net heat rate of the plant. The purpose of this paper is to estimate the measurement uncertainty of a combined cycle power plant consisting of two power trains. It includes the consideration of correlated uncertainties. Each power train is comprised of a gas turbine, a Heat Recovery Steam Generator (HRSG) and a steam turbine. For the multiple train power plants, some of the measured parameters are not independent and therefore the systematic errors are partially correlated. In this paper, the correlated systematic uncertainties and their contribution to the total uncertainty are evaluated. The uncertainty results are compared with the case when the systematic uncertainties resulting from correlated errors are ignored. Not properly considering the correlated terms may under estimate the uncertainties by over 30%.

HRSG Duct Firing Revisited

2018 ◽  
Author(s):  
S. Can Gülen
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Power Output ◽  
Gas Turbines ◽  
Heat Recovery ◽  
Fossil Fuel ◽  
Heat Rate ◽  
Combined Cycle ◽  
Efficiency Improvement ◽  
Combined Cycle Power Plant

Duct firing in the heat recovery steam generator (HRSG) of a gas turbine combined cycle power plant is a commonly used method to increase output on hot summer days when gas turbine airflow and power output lapse significantly. The aim is to generate maximum possible power output when it is most needed (and, thus, more profitable) at the expense of power plant heat rate. In this paper, using fundamental thermodynamic arguments and detailed heat and mass balance simulations, it will be shown that, under certain boundary conditions, duct firing in the HRSG can be a facilitator of efficiency improvement as well. When combined with highly-efficient aeroderivative gas turbines with high cycle pressure ratios and concomitantly low exhaust temperatures, duct firing can be utilized for small but efficient combined cycle power plant designs as well as more efficient hot-day power augmentation. This opens the door to efficient and agile fossil fuel-fired power generation opportunities to support variable renewable generation.

scholarly journals Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1022
Author(s):  
Yondha Dwika Arferiandi ◽  
Wahyu Caesarendra ◽  
Herry Nugraha
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Plant ◽  
Input Parameter ◽  
Heat Rate ◽  
Combined Cycle ◽  
Ann Model ◽  
Combined Cycle Power Plant ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Heat rate of a combined cycle power plant (CCPP) is a parameter that is typically used to assess how efficient a power plant is. In this paper, the CCPP heat rate was predicted using an artificial neural network (ANN) method to support maintenance people in monitoring the efficiency of the CCPP. The ANN method used fuel gas heat input (P1), CO2 percentage (P2), and power output (P3) as input parameters. Approximately 4322 actual operation data are generated from the digital control system (DCS) in a year. These data were used for ANN training and prediction. Seven parameter variations were developed to find the best parameter variation to predict heat rate. The model with one input parameter predicted heat rate with regression R2 values of 0.925, 0.005, and 0.995 for P1, P2, and P3. Combining two parameters as inputs increased accuracy with regression R2 values of 0.970, 0.994, and 0.984 for P1 + P2, P1 + P3, and P2 + P3, respectively. The ANN model that utilized three parameters as input data had the best prediction heat rate data with a regression R2 value of 0.995.

Advanced Coal Gasification Combined Cycle Power Plant

1985 ◽  
Author(s):  
J. Pavel ◽  
M. B. Blinn ◽  
G. B. Haldipur
Keyword(s):  
Power Plant ◽  
Coal Gasification ◽  
Heat Rate ◽  
Combined Cycle ◽  
Advanced Technology ◽  
Operating Costs ◽  
Fuel Gas ◽  
Combined Cycle Power Plant ◽  
Particulate Removal ◽  
Net Power Output

This paper describes the conceptual design of an advanced technology coal gasification combined cycle power plant which has significant advantages over other power generation technologies. The plant is expected to provide lower capital and operating costs and superior environmental acceptability than other modes of generation. The design is based on the KRW Energy Systems Inc.’s pressurized fluidized bed coal gasification system. Hot cleaning of the fuel gas is accomplished using concepts being developed at the Waltz Mill pilot plant. Desulfurization of the fuel gas is by injection of dolomite into the gasifier bed. Final particulate removal is accomplished by an external filter. Net power output from the plant is 73 MW and the overall plant heat rate is 8760 Btu/KWh (HHV).

Performance Tests After High Pressure Turbine Retrofit for Maanshan Nuclear Power Plant Unit 1

2013 ◽  
Author(s):  
Yea-Kuang Chan ◽  
Yu-Ching Tsai ◽  
Chin-Jang Chang ◽  
Chun-Chang Lu ◽  
Ping-Ling Hsieh
Keyword(s):  
High Pressure ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Performance Test ◽  
Test Procedure ◽  
Heat Rate ◽  
Performance Tests ◽  
High Pressure Turbine ◽  
Electrical Output

The purpose of the performance test for Unit 1 of Maanshan nuclear power plant is to determine the electrical output and heat rate after the retrofit of the high pressure turbine in the latest refueling outage in 2012. The performance test was conducted in order to verify that the actual improvement in electrical output resulting from the replacement of the high pressure turbine meets the vendor’s guarantee. A total of two performance test runs was conducted in accordance with the ASME performance test code (PTC) 6. The measured electrical powers for the two test runs were 977.4 and 975.0 MWe, respectively, and the average value was 976.2 MWe. After correcting the electrical power to the rated conditions specified in the performance test procedure, the gross electric output was 983.2 MWe. The corrected heat rate for the two performance tests were 10365 and 10353 kJ/kW, respectively. The deviation between the two corrected heat rates was 0.11% and thereby satisfying the test code of 0.25% for the permitted test deviation. Moreover, the performance test results also demonstrated that the improvement in gross electrical output was 17.6 MWe comparing with the pre-retrofit performance test, which exceeded the 10.0 MWe basic performance guarantee by 7.6 MWe.

Upgraded M501G Operating Experience

2005 ◽  
Author(s):  
H. Arimura ◽  
Y. Iwasaki ◽  
Y. Fukuizumi ◽  
S. Shiozaki ◽  
V. Kallianpur
Keyword(s):  
Power Plant ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Operating Experience ◽  
Heat Rate ◽  
Combined Cycle ◽  
Combined Cycle Power Plant

In 2003 the M501G at Mitsubishi’s in-house combined cycle power plant facility located at Takasago (T-Point) was upgraded. The upgrade was accomplished by replacing some of the existing hardware in the M501G gas turbine, for further improvements in output and heat rate. The verification testing at this power plant has been continuing with MHI’s latest upgraded combustor technology, that has successfully demonstrated NOx levels at 15ppm and 9ppm or lower emission levels in Mitsubishi’s G and F gas turbines, respectively. The upgraded M501G has been officially designated as the M501G1 gas turbine. This paper describes the upgraded hardware and the operating experience at the T-Point power plant.

Sign in / Sign up

Export Citation Format

Share Document