Modeling of a combined cycle power plant

The combined cycle power plant is a non-linear, closed loop system, which consists of high-pressure (HP) superheater, HP evaporator, HP economizer, lowpressure (LP) evaporator, HP drum, HP deaerator, condenser, HP and LP steam turbines and gas turbine. The two types of turbines in the plant i.e. the...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohamad Idris, Faridah
Format:	Thesis
Language:	English
Published:	2001
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/6666/1/FaridahMohamadIdrisMFKE2001.PDF
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.6666
record_format	uketd_dc
spelling	my-utm-ep.66662018-09-27T04:01:53Z Modeling of a combined cycle power plant 2001-11 Mohamad Idris, Faridah TK Electrical engineering. Electronics Nuclear engineering The combined cycle power plant is a non-linear, closed loop system, which consists of high-pressure (HP) superheater, HP evaporator, HP economizer, lowpressure (LP) evaporator, HP drum, HP deaerator, condenser, HP and LP steam turbines and gas turbine. The two types of turbines in the plant i.e. the gas turbine and the HP and LP steam turbines operate concurrently to generate power to the plant. The exhaust gas which originate from the combustion chamber drives the gas turbine, after which it flows into the heat recovery steam generator (HRSG) to generate superheated steam to be used in driving the HP and LP steam turbines. In this thesis, the combined cycle power plant is modeled at component level using the physical method. Assuming that there is delay in transport, except for the gas turbine system, the mass and heat balances are applied on the components of the plant to derive the governing equations of the components. These time dependent equations, which are of first order differential types, are then solved for the mass and enthalpy of the component. The solutions were simulated using Matlab Simulink using measured plant data. Where necessary there is no plant data available, approximated data were used. The generalized regression neural networks are also used to generate extra sets of simulation data for the HRSG system. Comparisons of the simulation results with its corresponding plant data showed good agreements between the two and indicated that the models developed for the components could be used to represent the combined cycle power plant under study. 2001-11 Thesis http://eprints.utm.my/id/eprint/6666/ http://eprints.utm.my/id/eprint/6666/1/FaridahMohamadIdrisMFKE2001.PDF application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62380 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohamad Idris, Faridah Modeling of a combined cycle power plant
description	The combined cycle power plant is a non-linear, closed loop system, which consists of high-pressure (HP) superheater, HP evaporator, HP economizer, lowpressure (LP) evaporator, HP drum, HP deaerator, condenser, HP and LP steam turbines and gas turbine. The two types of turbines in the plant i.e. the gas turbine and the HP and LP steam turbines operate concurrently to generate power to the plant. The exhaust gas which originate from the combustion chamber drives the gas turbine, after which it flows into the heat recovery steam generator (HRSG) to generate superheated steam to be used in driving the HP and LP steam turbines. In this thesis, the combined cycle power plant is modeled at component level using the physical method. Assuming that there is delay in transport, except for the gas turbine system, the mass and heat balances are applied on the components of the plant to derive the governing equations of the components. These time dependent equations, which are of first order differential types, are then solved for the mass and enthalpy of the component. The solutions were simulated using Matlab Simulink using measured plant data. Where necessary there is no plant data available, approximated data were used. The generalized regression neural networks are also used to generate extra sets of simulation data for the HRSG system. Comparisons of the simulation results with its corresponding plant data showed good agreements between the two and indicated that the models developed for the components could be used to represent the combined cycle power plant under study.
format	Thesis
qualification_level	Master's degree
author	Mohamad Idris, Faridah
author_facet	Mohamad Idris, Faridah
author_sort	Mohamad Idris, Faridah
title	Modeling of a combined cycle power plant
title_short	Modeling of a combined cycle power plant
title_full	Modeling of a combined cycle power plant
title_fullStr	Modeling of a combined cycle power plant
title_full_unstemmed	Modeling of a combined cycle power plant
title_sort	modeling of a combined cycle power plant
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2001
url	http://eprints.utm.my/id/eprint/6666/1/FaridahMohamadIdrisMFKE2001.PDF
_version_	1747814683692236800

Modeling of a combined cycle power plant

Similar Items