Real Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

2021 ◽  
Author(s):  
Elias Tsoutsanis ◽  
Moussa Hamadache ◽  
Roger Dixon
Keyword(s):  
Real Time ◽  
Gas Turbines ◽  
Power Plants ◽  
Diagnostic Method ◽  
Transient Conditions ◽  
Hybrid Power

Real Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

2020 ◽  
Author(s):  
Elias Tsoutsanis ◽  
Moussa Hamadache ◽  
Roger Dixon
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Power Plants ◽  
Wind Farm ◽  
Diagnostic Method ◽  
Transient Conditions ◽  
Engine Model ◽  
Hybrid Power ◽  
Hybrid Power Plant

Abstract Recent expansion of renewable power plants have transformed the role and operation of gas turbines to a great extent. From the base load operation era we are moving into a flexible and dynamic engine operation of gas turbines. In particular, aero derivative engines that have the capacity to start up, shut down in a short time frame are becoming quite popular for both hybrid power plant arrangements and distributed electricity generation. Advances in computational intelligence, such as digital twins, have amplified the importance of condition monitoring, diagnostics and prognostics capabilities in the face of gas turbine operation. Given the dynamic operating profile of the gas turbines, it is of paramount importance to develop, tune and deploy engine models that are accurate and robust to accommodate their nonlinear behavior. Performing diagnostics in transient conditions has recently gained attention, since the gas turbines are acting as partners of renewables and they have a supporting role. Among a family of diagnostics methods, one that has real time capabilities is based on zero-dimensional engine models. This paper present a novel diagnostic approach for determining the health of a gas turbine when it works in conjunction with a wind farm in hybrid power plant. In contrary to our earlier works, where we have mathematically modeled component maps to derive the health of an engine, in this paper we propose a model-based diagnostic method without reconstructing component maps according to their degradation. Once the engine model is initially adapted to its clean condition, it is subsequently tuned in real time to reflect the changes in both the operation and degradation with respect to a benchmark engine model. Time evolving multiple component degradation scenarios for a gas turbine operating in conjunction with a wind farm, are simulated to test the accuracy and efficiency of the proposed method. From a bank of simulated measurements, data trending is performed which facilitates the detection of degradation and provides useful conclusions about the health state of the engine. This diagnostic method is suitable for gas turbines that spend most of their life time in part-load and transient operation and it forms a simple and useful tool for operators in planning their assets maintenance in a computational efficient and accurate manner.

Real-Time Diagnostic Method of Gas Turbines Operating Under Transient Conditions in Hybrid Power Plants

2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Elias Tsoutsanis ◽  
Moussa Hamadache ◽  
Roger Dixon
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Power Plants ◽  
Diagnostic Method ◽  
Health State ◽  
Engine Operation ◽  
Transient Conditions ◽  
Engine Model ◽  
Hybrid Power

Abstract The expansion of renewable power plants has transformed the role and operation of gas turbines to a great extent. From the base load operation era, we are moving into a flexible and dynamic engine operation of gas turbines. Advances in computational intelligence have amplified the importance of condition monitoring, diagnostics, and prognostics capabilities in the face of gas turbine operation. Performing diagnostics in transient conditions is beneficial since the gas turbines are now acting as partners of renewables. This article presents a novel diagnostic approach for determining the health of a gas turbine when it works in conjunction with a wind farm in a hybrid power plant. In this article, we propose a model-based diagnostic method without reconstructing component maps according to their degradation. Once the engine model is adapted to its clean condition, it is tuned in real-time to reflect the changes in both the operation and degradation with respect to a benchmark engine model. Time evolving multiple component degradation scenarios are simulated to test the accuracy and efficiency of the proposed method. From a bank of simulated measurements, data trending is performed which facilitates the detection of degradation and provides useful conclusions about the health state of the engine. This diagnostic method is suitable for gas turbines that spend most of their life time in part-load and transient operation and it can be a useful tool for gas turbine operators in planning their assets maintenance in a computational efficient and accurate manner.

scholarly journals Generalized High Speed Simulation of Gas Turbine Engines

1990 ◽  
Author(s):  
Nanahisa Sugiyama
Keyword(s):  
Real Time ◽  
Gas Turbine ◽  
Gas Turbines ◽  
High Speed ◽  
Power Plants ◽  
Turbine Engines ◽  
Gas Turbine Engines ◽  
Jet Engines ◽  
Industrial Gas Turbine ◽  
High Degree

This paper describes a real-time or faster-than-real-time simulation of gas turbine engines, using an ultra high speed, multi-processor digital computer, designated the AD100. It is shown that the frame time is reduced significantly without any loss of fidelity of a simulation. The simulation program is aimed at a high degree of flexibility to allow changes in engine configuration. This makes it possible to simulate various types of gas turbine engines, including jet engines, gas turbines for vehicles and power plants, in real-time. Some simulation results for an intercooled-reheat type industrial gas turbine are shown.

High Efficiency-Coal and Gas (HE-C&G): A Hybrid Power Plant Concept Iintegrating ABB’s GT24/GT26 Gas Turbines With Conventional Steam Power Plants for Competitive Power Generation With High Dispatch Flexibility

1997 ◽  
Author(s):  
Mircea Fetescu
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Gas Turbines ◽  
Power Plants ◽  
High Efficiency ◽  
Steam Power ◽  
Combustion Gas ◽  
Hybrid Power ◽  
Steam Power Plants ◽  
Hybrid Power Plant

The electric power generation world is currently confronted with new challenges: deregulation, open competition, new players entering the business, new regulations governing the return on investment, increased complexity and risk. In order to maintain or enhance their competitive position the electricity generators have as main objectives to lower generating costs, increase operating and dispatching flexibility and manage fuel related risks: availability, supply diversification, prices and price escalation and finally to capture value added profits. In order to meet new requirements of electricity generators, ABB has developed a hybrid power plant concept integrating the sequential combustion gas turbines GT24/GT26 with existing or new conventional steam power plants: the High Efficiency Coal and Gas (HE-C&G). The HE-C&G, with its unique design, operating and dispatching flexibility, provides our customers with the benefits of competitive power generation: the owner/operator can optimise — on line — the plant fuel and O&M costs, increase the availability, extend economic life and lower the environmental impact of the power plant. And even more, the HE-C&G creates the ability to benefit of the market opportunities: buy cheaper fuels and sell the electricity when profitable. This paper evaluates the feasibility of combining conventional steam power plants with sequential combustion gas turbines GT24/GT26 and recommends the HE-C&G as one of the most competitive alternatives for power generation, especially for re-evaluation of existing assets and positioning in the competitive environment.

Development of Hybrid Power Systems Based on Direct Fuel Cell/Turbine Cycle

2005 ◽  
Author(s):  
Hossein Ghezel-Ayagh ◽  
Robert Sanderson ◽  
Jim Walzak
Keyword(s):  
Fuel Cell ◽  
Power Systems ◽  
Gas Turbine ◽  
Hybrid Systems ◽  
Gas Turbines ◽  
Power Plants ◽  
High Efficiency ◽  
Mechanical Design ◽  
Thermodynamic Cycle ◽  
Hybrid Power

FuelCell Energy Inc. (FCE) is developing ultra high efficiency Direct FuelCell/Turbine® (DFC/T®) hybrid power plants. Present activities are focused both on the demonstration of the DFC/T concept in small packaged hybrid power generation units for distributed generation, and the design of multi-megawatt (Multi-MW) hybrid systems for the wholesale electric power market. The development of Multi-MW DFC/T systems has been focused on the on the design of power plants with efficiencies approaching 75% (LHV of natural gas). The design efforts included thermodynamic cycle analysis of key gas turbine parameters such as compression ratio. The power plant designs were studied for near-term deployment utilizing the existing commercially available gas turbines and long-term deployment requiring advanced gas turbine technologies. A new fuel cell cluster concept was developed for mechanical design of Multi-MW systems. The concept utilizes the existing one-MW fuel cell modules as the building block for the Multi-MW hybrid systems.

Reliability Index of Wind-Solar Hybrid Power Plants using the Expected Energy Not Supplied Method

2019 ◽  
Vol 8 (4) ◽  
pp. 9449-9456
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Electricity Market ◽  
Reliability Index ◽  
Power Plants ◽  
Initial Conditions ◽  
Hybrid Plant ◽  
Total Power ◽  
Hybrid Power ◽  
Hybrid Power Plant

This paper proposes the reliability index of wind-solar hybrid power plants using the expected energy not supplied method. The location of this research is wind-solar hybrid power plants Pantai Baru, Bantul, Special Region of Yogyakarta, Indonesia. The method to determine the reliability of the power plant is the expected energy not supplied (EENS) method. This analysis used hybrid plant operational data in 2018. The results of the analysis have been done on the Pantai Baru hybrid power plant about reliability for electric power systems with EENS. The results of this study can be concluded that based on the load duration curve, loads have a load more than the operating kW of the system that is 99 kW. In contrast, the total power contained in the Pantai Baru hybrid power plant is 90 kW. This fact makes the system forced to release the load. The reliability index of the power system in the initial conditions, it produces an EENS value in 2018, resulting in a total value of 2,512% or 449 kW. The EENS value still does not meet the standards set by the National Electricity Market (NEM), which is <0.002% per year. Based on this data, it can be said that the reliability of the New Coast hybrid power generation system in 2018 is in the unreliable category.

Influence of the synthesis method of tert-butylated triphenyl phosphates on the operational properties of fire-resistant fluids

2021 ◽  
Vol 02 ◽  
pp. 32-37
Author(s):  
A.S. Medzhibovskiy ◽  
◽  
A.S. Kolokolnikov ◽  
A.O. Savchenko ◽  
G.A. Poldushova ◽  
...  
Keyword(s):  
Gas Turbines ◽  
Power Plants ◽  
Phosphorus Oxychloride ◽  
Raw Materials ◽  
Hydrolytic Stability ◽  
Synthesis Method ◽  
Acid Number ◽  
Release Time ◽  
Triphenyl Phosphate ◽  
Prolonged Contact

Three substituted aryl esters of orthophosphoric acid are the base component of fire-resistant fluids used in the lubricating and electro-hydraulic control system at steam and gas turbines of power plants. In this paper, we studied the possibility of improving the physicochemical and performance properties of phosphates, which are made of the raw materials available in the Russian Federation: phenol and 4-tert-butylphenol by reducing the content of an undesirable component - unsubstituted triphenyl phosphate, which is particularly vulnerable towards water. According to the results of the work, the conclusions were made: - a decrease in the content of triphenyl phosphate to a level of 1% and below leads to some improvement (reduction) of the air release time and an increase in the hydrolytic stability (represented as reducing the change in acid number after prolonged contact with water) of the fire-resistant fluid based on mixed esters. The degree of change of these properties is quantified. - it is possible to achieve the minimum content of triphenyl phosphate by changing the phosphorylation technology. By carrying out the process stepwise, the possibility of the interaction of phosphorus oxychloride with unsubstituted phenol is substantially eliminated, that is why there is almost no probability of an undesirable component formation in the resulting mixture of esters.

Real-Time Thermodynamic Performance Monitoring and Optimum Thermoeconomic Operation of Power Plants

2011 ◽  
Author(s):  
G. Hariharan ◽  
B. Kosanovic
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Real Time ◽  
Power Plants ◽  
Operating Conditions ◽  
Recursive Least Squares ◽  
Time Data ◽  
Real Time Data ◽  
One Step ◽  
Inputs And Outputs

The ability of modern power plant data acquisition systems to provide a continuous real-time data feed can be exploited to carry out interesting research studies. In the first part of this study, real-time data from a power plant is used to carry out a comprehensive heat balance calculation. The calculation involves application of the first law of thermodynamics to each powerhouse component. Stoichiometric combustion principles are applied to calculate emissions from fossil fuel consuming components. Exergy analysis is carried out for all components by the combined application of the first and second laws of thermodynamics. In the second part of this study, techniques from the field of System Identification and Linear Programming are brought together in finding thermoeconomically optimum plant operating conditions one step ahead in time. This is done by first using autoregressive models to make short-term predictions of plant inputs and outputs. Then, parameter estimation using recursive least squares is used to determine the relations between the predicted inputs and outputs. The estimated parameters are used in setting up a linear programming problem which is solved using the simplex method. The end result is knowledge of thermoeconomically optimum plant inputs and outputs one step ahead in time.

Air Flow Real-time Optimization Strategy for Fuel Cell Hybrid Power Sources with Fuel Flow Based on Load-following

Fuel Cells ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 809-823 ◽  
Author(s):  
N. Bizon ◽  
G. Iana ◽  
E. Kurt ◽  
P. Thounthong ◽  
M. Oproescu ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Cell Hybrid ◽  
Optimization Strategy ◽  
Power Sources ◽  
Hybrid Power ◽  
Load Following ◽  
Fuel Flow ◽  
Time Optimization ◽  
Real Time Optimization
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