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Projects: Projects for Investigator
Reference Number DTI/CC/142
Title Modelling of Particulate and Vapour Deposition in Gas Turbines Fired on Coal Derived Gases
Status Completed
Energy Categories Other Power and Storage Technologies(Electric power conversion) 20%;
Fossil Fuels: Oil Gas and Coal(Coal, Coal combustion) 70%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Oil and gas combustion) 10%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Mr JE Fakrell
No email address given
E.ON UK (formerly PowerGen)
Award Type 3
Funding Source DTI
Start Date 01 April 2001
End Date 01 June 2004
Duration 38 months
Total Grant Value £90,000
Industrial Sectors
Region East Midlands
Programme
 
Investigators Principal Investigator Mr JE Fakrell , E.ON UK (formerly PowerGen) (99.998%)
  Other Investigator Project Contact , University of Cambridge (0.001%)
Project Contact , Rolls-Royce PLC (0.001%)
Web Site
Objectives

Fuel gas derived from coal can contain various impurities such as dust and alkali salts, which can deposit on the blades of gas turbines used in cleaner coal systems and lead to increased turbine degradation. It is important to be able to estimate these deposition rates in order to assess different systems. This project is aimed at:

  • providing more accurate models for particulate deposition in gas turbines running on coal derived gases to provide greater accuracy and easier and more rapid use
  • extending an existing vapour deposition model to include additional species to better predict corrosion in such gas turbines
  • applying the models to example cases of turbines with some representative contaminant levels for both integrated gasification combined cycle (IGCC) and air blown gasification cycle (ABGC) systems
Abstract

Fuel gas derived from coal can contain various impurities such as dust and alkali salts, which can deposit on the blades of gas turbines used in cleaner coal systems and lead to increased turbine degradation. It is important to be able to estimate these deposition rates in order to assess different systems. This project is aimed at:

  • providing more accurate models for particulate deposition in gas turbines running on coal derived gases to provide greater accuracy and easier and more rapid use
  • extending an existing vapour deposition model to include additional species to better predict corrosion in such gas turbines
  • applying the models to example cases of turbines with some representative contaminant levels for both integrated gasification combined cycle (IGCC) and air blown gasification cycle (ABGC) systems

Many cleaner coal technologies, including the various IGCC and ABGC systems derive their inherently high efficiency by c oupling a gasification process with a gas turbine combined cycle unit. The coal is converted into a fuel gas that is then used to fire the combined cycle unit. Gas turbines are designed to operate on clean gaseous fuels such as natural gas, whereas the fuel gas derived from coal will contain various impurities such as dust (ash) and also alkali salts. These can cause deposit build-up, erosion and/or corrosion of the gas turbine blades, leading in turn to increased operating costs, bothin term sof replacement blades and the associated down times, and reduced efficiency. Conventional IGCC s can clean the fuel gas to very pure levels using low temperature processes. The ABGC, and second generation IGCC s will use hot gas clean up where the degree of alkali removal and dust capture may not be as efficient. This will improve the efficiency of the plant and lower capital costs, but may have deleterious effects on the gas turbine.

To predict the degree of deposition, e rosion and corrosion in the gas turbine, it is first necessary to be able to model (i) the behaviour of small particles within the turbine passages, including their impact on the blades and (ii) the deposition rate of alkali salts on the turbine blades. Current models for deposition are difficult to apply and not always physically accurate. Improved models are needed to provide better estimates of the degradation and determine the degree of cleanliness required in coal-derived fuel gases fed t o gas turbines.

A computer program will be developed to calculate the behaviour and deposition of small particles in the three dimensional flow fields typical of gas turbines. This program will incorporate the models for both inertial and turbulent effects, which current models can only consider separately.

A rig which can study particle deposition in a pipe flow, using fluorescent dye as a particle tracer will be used to study deposition of different particle sizes in a cascade of turbineblades. Initially a stationary cascade will be used, progressing later to using a rig with a rotating blade row. Model predictions will be tested against the experimental results to aid model validation.

An existing model for alkali vapour deposition assumes that the alkali metals (sodium and potassium) are present in the gas phase as chloride salts (NaCI, KCI) which is valid for UK coals. For operation with world coals, the chloride levels are expectedto be very much lower and the principal alkali salt species in the gas is likely to be the hydroxides (NaOH KOH) or oxides (Na2O, K2O). The model will therefore be reconfigured to account for these different species.

To demonstrate the capabilities of the developed models, they will be applied to turbines with some representative contaminant levels for both IGCC and ABGC systems to obtain estimates of deposition levels for both particles and alkali.

Publications DTI (2001). Particulate And Vapour Deposition In Gas Turbines Fired On Coal Derived Gases: Project Profile 295. DTI Cleaner Coal Technology Programme, URN 01/955, DTI, UK (PDF 52 KB)
Final Report Fackrell, J.E., Tabberer, R.J., Young, J.B. & Wu, Z (2005). Gas Turbines Fired on Coal Derived Gases - Modelling of Particulate and Vapour Deposition. Report No. COAL R280 DTI/Pub URN 05/661, DTI, UK (PDF 307 KB)
Added to Database 01/01/07