scholarly journals Use of Artificial Neural Networks for the Simulation of Combined Cycle Transients

1997 ◽  
Author(s):  
Umberto Desideri ◽  
Francesco Fantozzi ◽  
Gianni Bidini ◽  
Philippe Mathieu
Keyword(s):  
Neural Networks ◽  
Monitoring System ◽  
Combined Cycle ◽  
Pollutant Emissions ◽  
Plant Performance ◽  
Load Range ◽  
On Line ◽  
Transient Data ◽  
Combined Cycles ◽  
Economic Assets

Due to techno-economic assets, the demand of combined cycles (CC) is currently growing. Nowadays, in a diversified electricity mix, these plants are often used on a load cycling duty or in the intermediate load range. The ability to start quickly and reliably may be a decisional criterion for the selection of the plant, in addition to the design performance, the cost and the pollutant emissions. Therefore, together with the simulation of CC transients, a proper monitoring system aimed at keeping high plant performance during the transients is required. With the help of advanced measurement and monitoring devices, artificial intelligence (AI) techniques as expert systems (ES) and neural networks (NN) can fulfill this duty. The goal of this paper is to show that a NN technique can be used reliably to obtain the response of a complex energetic system, such as CCs, during a slow transient and consequently as part of an on-line monitoring system. In this work, a CC power plant is simulated by dividing it into three blocks, which are representative of the three main elements of the CC: namely the gas turbine (GT), the heat recovery steam generator (HRSG) and the steam turbine (ST). To each of them a NN is associated. Once the training and testing of the NNs is carried out, the blocks are then arranged in a series cascade, the output of a block being the input of the subsequent one. With this solution, the NN-based system is able to produce the transient response of a CC plant when the input information are the GT inlet parameters. The transient data, not easy to obtain from measurements on existing plants, are provided by the CCDYN simulator (Dechamps, 1995). The performance obtained by the NN based system are observed to be in good agreement with those given by CCDYN, the latter being validated on the basis of measurements in an existing plant. The NN code, providing the departures of the measured data from the predicted ones, can be considered as a proper system for on-line monitoring and diagnosis.

Simulation of power plant transients with artificial neural networks: Application to an existing combined cycle

1998 ◽  
Vol 212 (5) ◽  
pp. 299-313 ◽  
Author(s):  
F Fantozzi ◽  
U Desideri
Keyword(s):  
Neural Networks ◽  
Monitoring System ◽  
High Performance ◽  
Combined Cycle ◽  
Transient Behaviour ◽  
Cascade Arrangement ◽  
On Line ◽  
Combined Cycles ◽  
The Difference ◽  
Using Data

To maintain the high performance of gas-turbine-based combined cycles, transients must be properly taken into account in the design phase and efficiently monitored in the operational phase, because they are not negligible time intervals. The use of artificial intelligence techniques such as expert systems, fuzzy sets and neural networks (NNs), coupled with advanced measurement and monitoring devices, can provide a reliable and efficient monitoring system. An existing two-pressure-level combined cycle has been simulated by dividing its simplified model into blocks representative of the main elements. An NN is associated with each of these blocks. Once the training and testing of the NN are complete, using data from a simulator, the blocks are put either in a cascade arrangement or in a parallel arrangement, providing reliable systems that can predict the load-change transient behaviour of the entire plant. The parallel approach was then tested on data from the real plant. The excessive simplification introduced with the simulator required the addition of selected real cases to the training set that are able to fit the NN response to reality. The results obtained are encouraging for use in an on-line monitoring system which evaluates the difference between the measured data and the predicted data.

A Case Study of Optimizing Combined Cycle Performance at Kalaeloa

2009 ◽  
Author(s):  
Helmer Andersen
Keyword(s):  
Power Plants ◽  
Performance Monitoring ◽  
Combined Cycle ◽  
Plant Performance ◽  
Operational Performance ◽  
Cycle Performance ◽  
Monitoring Tools ◽  
Online Performance Monitoring ◽  
On Line

Fuel is by far the largest expenditure for energy production for most power plants. New tools for on-line performance monitoring have been developed for reducing fuel consumption while at the same time optimizing operational performance. This paper highlights a case study where an online performance-monitoring tool was employed to continually evaluate plant performance at the Kalaeloa Combined Cycle Power Plant. Justification for investment in performance monitoring tools is presented. Additionally the influence of various loss parameters on the cycle performance is analyzed with examples. Thus, demonstrating the potential savings achieved by identifying and correcting the losses typically occurring from deficiencies in high impact component performance.

scholarly journals Compressor Washing Maintains Plant Performance and Reduces Cost of Energy Production

1994 ◽  
Author(s):  
Jean-Pierre Stalder ◽  
Peter van Oosten
Keyword(s):  
Energy Production ◽  
Combined Cycle ◽  
Plant Performance ◽  
Atmospheric Conditions ◽  
Output Level ◽  
Maintenance Program ◽  
Cost Of Energy ◽  
Combined Cycle Plant ◽  
On Line ◽  
High Output

This paper reports about the results of a field test conducted over a period of 8000 operating hours on the effect of combined on line and off line compressor washing on a 66 MW gas turbine operating in a combined cycle plant at UNA’s Lage Weide 5 power plant in Utrecht. Observations have shown a sustained high output level close to the nominal guaranteed rating, despite difficult atmospheric conditions. Investigations on the correlations between fouling gradients in the compressor and atmospheric conditions are also presented. The evaluation of the results demonstrate the importance of implementing an optimised regime of on line and off line washing in the preventive turbine maintenance program. It will improve the plant profitability by reducing the costs of energy production.

Software for the Performance Evaluation of Combined Cycles

1986 ◽  
Author(s):  
Philip Levine ◽  
Edward Dougherty ◽  
Clark Dohner
Keyword(s):  
Performance Evaluation ◽  
Power Plant ◽  
Software Package ◽  
Combined Cycle ◽  
Performance Model ◽  
Electric Power Research Institute ◽  
Plant Performance ◽  
Analysis Program ◽  
Combined Cycles ◽  
Schedule Performance

This paper describes a software package developed under the auspices of the Electric Power Research Institute to monitor combined cycle power plant performance. By monitoring plant performance a usefull data base can be created. When trended and compared against a performance model this database can be used to schedule performance maintenance and repairs, and to evaluate the benefits of maintenance and/or upgrade options. The software is named EMAP, an acronym for “Efficiency Maintenance Analysis Program”, and is available through EPRI.

scholarly journals Solid Oxide Fuel Cell Combined Cycles

1996 ◽  
Author(s):  
Frank P. Bevc ◽  
Wayne L. Lundberg ◽  
Dennis M. Bachovchin
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Power Plants ◽  
Combined Cycle ◽  
Solid Oxide ◽  
Plant Performance ◽  
Gaseous Emissions ◽  
Oxide Fuel ◽  
Plant Design ◽  
Combined Cycles

The integration of the solid oxide fuel cell (SOFC) and combustion turbine technologies can result in combined-cycle power plants, fueled with natural gas. that have high efficiencies and clean gaseous emissions. Results of a study are presented in which conceptual designs were developed for three power plants based upon such an integration, and ranging in rating from 3 to 10 MW net ac. The plant cycles are described, and characteristics of key components are summarized. In addition, plant design-point efficiency estimates are presented, as well as values of other plant performance parameters.

scholarly journals Feasibility of mini combined cycles for naval applications

2018 ◽  
Vol 245 ◽  
pp. 07008 ◽  
Author(s):  
Dario Barsi ◽  
Carlo Costa ◽  
Francesca Satta ◽  
Pietro Zunino ◽  
Vitaly Sergeev
Keyword(s):  
Energy Production ◽  
High Efficiency ◽  
Combined Cycle ◽  
Pollutant Emissions ◽  
Large Power ◽  
Combined Use ◽  
Combined Cycles ◽  
Definition Of ◽  
The Individual ◽  
Near Future

The objective of energy production with low environmental impact will have, in the near future, high potential of development also for naval applications. The containment of pollutant emissions can be achieved by the combined use of an innovative mini gas-steam combined cycle with thermal energy cogeneration to feed the ship thermal utilities, in place of the current Diesel engine application, and liquefied natural gas as fuel (LNG). The present work is focused on the definition of the architecture of the plant, by selecting optimal distribution of pressure and temperature and repartition of power between Gas Turbine (GT), Steam Turbine (ST) and thermal utilities, as well as on the choice and sizing of the individual components. The main purpose is the definition of a compact, high efficiency, system. The proposed basic mini-cycle ranges from 2 MW to 10 MW electric power. Thanks to the combined heat and power cogeneration plant adopted, for an overall electrical efficiency of about 30%, a total return (thermal + electricity) of about 75% can be achieved. An example of plant providing large power, in a partially modular arrangement is also proposed.

Simulation of Solarized Combined Cycles: Comparison Between Hybrid GT and ISCC Plants

2013 ◽  
Author(s):  
G. Barigozzi ◽  
G. Franchini ◽  
A. Perdichizzi ◽  
S. Ravelli
Keyword(s):  
Solar Energy ◽  
Combined Cycle ◽  
Operating Conditions ◽  
Plant Performance ◽  
Heat Recovery Boiler ◽  
Gas Combustion ◽  
Combined Cycles ◽  
Computer Codes ◽  
Natural Gas Combustion ◽  
The One

The present paper investigates two different Solarized Combined Cycle layout configurations. In the first scheme, a solarized gas turbine is coupled to a solar tower. Pressurized air at compressor exit is sent to the solar tower receiver before entering the GT combustor. Here temperature is increased up to the nominal turbine inlet value through natural gas combustion. In the second CC layout, solar energy is collected by line focusing parabolic trough collectors and used to produce superheated steam in addition to the one generated in the heat recovery boiler. The goal of the paper is to compare the thermodynamic performance of these CSP technologies when working under realistic operating conditions. Commercial software and in-house computer codes were combined together to predict CSP plant performance both on design and off-design conditions. Plant simulations have shown the beneficial effect of introducing solar energy at high temperature in the Joule-Brayton cycle and the drawback in terms of GT performance penalization due to solarization. Results of yearly simulations on a one hour basis for the two considered plant configurations are presented and discussed. Main thermodynamic parameters such temperatures, pressure levels, air and steam flow rates are reported for two representative days.

Survey of Integrated Gasification Combined Cycle Power Plant Performance Estimates

1980 ◽  
Author(s):  
J. W. Larson
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Coal Gasification ◽  
Combined Cycle ◽  
Pollutant Emissions ◽  
Plant Performance ◽  
Integrated Gasification Combined Cycle ◽  
Technical Literature ◽  
Combined Cycle Power Plant ◽  
Integrated Gasification

The idea of a combined cycle power plant integrated with a coal gasification process has attracted broad interest in recent years. This interest is based on unique attributes of this concept which include potentially low pollutant emissions, low heat rate and competitive economics as compared to conventional steam plants with stack gas scrubbing. Results from a survey of technical literature containing performance and economic predictions have been compiled for comparison and evaluation of this new technique. These performance and economic results indicate good promise for near-term commercialization of an integrated gasification combined cycle power plant using current gas turbine firing temperatures. Also, these data show that advancements in turbine firing temperature are expected to provide sufficiently favorable economics for the concept to penetrate the market now held by conventional steam power plants.

Sign in / Sign up

Export Citation Format

Share Document