A new approach to generate turbine map data in the sub-idle operation regime of gas turbines. (15th April 2019)
- Record Type:
- Journal Article
- Title:
- A new approach to generate turbine map data in the sub-idle operation regime of gas turbines. (15th April 2019)
- Main Title:
- A new approach to generate turbine map data in the sub-idle operation regime of gas turbines
- Authors:
- Kim, Jeong Ho
Kim, Tong Seop - Abstract:
- Abstract: Gas turbines are likely to face critical situations such as compressor surge and stall in the sub-idle operation region. Thus, it is important to predict the operation characteristics of gas turbines accurately by using simulations in the sub-idle region. However, sufficient information about the component performance maps in the sub-idle region is generally not available, and extrapolation methods are usually used to generate data. However, extrapolation methods tend to generate physically invalid data points in very low-speed regimes, which sometimes cause critical numerical problems in simulations of engine performance. This study proposes a new method to generate performance data in the sub-idle region of turbine performance maps through interpolation. A zero point is introduced where the pressure ratio is one and the mass flow rate is zero. Performance data were generated between the existing performance curve and the zero point using the interpolation. To validate the proposed method, it was applied to publicly available turbine performance maps. It was confirmed that the proposed method improves the numerical matching between the compressor and turbine maps and thus expands the predictable operating regime by as much as 23.3% compared to a conventional extrapolation method. Highlights: A method is proposed to generate data in the low-speed region of turbine maps. A zero point was assigned, and data were generated using the interpolation. The interpolationAbstract: Gas turbines are likely to face critical situations such as compressor surge and stall in the sub-idle operation region. Thus, it is important to predict the operation characteristics of gas turbines accurately by using simulations in the sub-idle region. However, sufficient information about the component performance maps in the sub-idle region is generally not available, and extrapolation methods are usually used to generate data. However, extrapolation methods tend to generate physically invalid data points in very low-speed regimes, which sometimes cause critical numerical problems in simulations of engine performance. This study proposes a new method to generate performance data in the sub-idle region of turbine performance maps through interpolation. A zero point is introduced where the pressure ratio is one and the mass flow rate is zero. Performance data were generated between the existing performance curve and the zero point using the interpolation. To validate the proposed method, it was applied to publicly available turbine performance maps. It was confirmed that the proposed method improves the numerical matching between the compressor and turbine maps and thus expands the predictable operating regime by as much as 23.3% compared to a conventional extrapolation method. Highlights: A method is proposed to generate data in the low-speed region of turbine maps. A zero point was assigned, and data were generated using the interpolation. The interpolation method was compared with the conventional extrapolation method. The proposed method expanded the predictable operating regime of the gas turbine considerably. The method would be useful for gas turbine simulation in the sub-idle regime. … (more)
- Is Part Of:
- Energy. Volume 173(2019)
- Journal:
- Energy
- Issue:
- Volume 173(2019)
- Issue Display:
- Volume 173, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 173
- Issue:
- 2019
- Issue Sort Value:
- 2019-0173-2019-0000
- Page Start:
- 772
- Page End:
- 784
- Publication Date:
- 2019-04-15
- Subjects:
- Gas turbine -- Sub-idle -- Turbine performance map -- Interpolation -- Low-speed region
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2019.02.110 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16413.xml