relation: https://khub.utp.edu.my/scholars/10170/
title: Modelling and System Identification of Gas Fuel Valves in Rowen's Model for Dry Low Emission Gas Turbine
creator: Omar, M.
creator: Ibrahim, R.
creator: Abdullah, M.F.
creator: Tarik, M.H.M.
description: A Dry-Low Emission (DLE) gas turbine is introduced due to a stringent requirement of government policy on Carbon Monoxide (CO) and Nitrogen Oxide (NOx) emissions in industry. The establishment demands a reliable model for dynamic and stability study where the conventional gas turbine model need to be adjusted. A well-established model for a gas turbine study is Rowen's model but it still need to be modified to fit DLE gas turbine requirement. The most significant difference is the introduction of Pilot Gas Fuel Valve in DLE instead of only Main Gas Fuel Valve. Thus, the objective of this research is to model and perform system identification of gas fuel valves in Rowen's Model for DLE gas turbine suitability. The operational data were used to model main and pilot fuel valve in system identification and integrated into the widely used Rowen's model. The result of the transfer functions were compared and the first order transfer function exhibits a good fit and high accuracy model for DLE gas turbine and the operational behavior of pilot gas fuel valve. The modification of Rowen's model is able to produce a high accuracy model for DLE gas turbine and the operational behavior of pilot gas fuel valve can be studied after the integration. © 2018 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2018
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Omar, M. and Ibrahim, R. and Abdullah, M.F. and Tarik, M.H.M.  (2018) Modelling and System Identification of Gas Fuel Valves in Rowen's Model for Dry Low Emission Gas Turbine.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062781611&doi=10.1109%2fICBDAA.2018.8629705&partnerID=40&md5=5cd8ee2a7f6295f571a91e166609dd34
relation: 10.1109/ICBDAA.2018.8629705
identifier: 10.1109/ICBDAA.2018.8629705