Performance adaptation of a 100 kW microturbine

Kiaee, Mehrdad; Tousi, Abolghasem M.; Toudefallah, M.

doi:10.1016/j.applthermaleng.2015.04.075

Cited by 22 publications

(6 citation statements)

References 16 publications

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“…Equations (6) and (7) show the recuperator effect on the compressor exit air temperature and pressure before entering the burner. 31 where: ε is the recuperator effectiveness. equation (8) presents the off-design behavior of recuperator effectiveness and to calculate pressure loss of recuperator, equations (9) and (10) would be used.…”

Section: Mgt Running Line Simulationmentioning

confidence: 99%

A methodology for identifying the most suitable measurements for engine level and component level gas path diagnostics of a micro gas turbine

Talebi

Tousi

Madadi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Recently, the utilization of micro gas turbines in smart grids are rising that makes the part-load operation principal situation of the engine service. This leads to faster life consumption that increases the importance of the diagnostics process. Gas path analysis is an effective method for gas turbine diagnostics. Complex dynamics of gas turbine induces challenging conditions to perform applicable gas path analysis. This study aims to facilitate MGT gas path diagnostics through reducing the number of monitoring parameters and preparation a pattern for engine level and component level health assessment in both full and part load operation of a recuperated micro gas turbine. To attain this goal a model is proposed to simulate MGT off-design performance which is validated against experimental data in healthy and degraded operation modes. Fouling in compressor, turbine and recuperator and erosion in compressor and turbine as the most common degradations in the gas turbine are considered. The fault simulation is performed by changing the health parameters of gas path components. According to the result investigation, a matrix comprises deviation contours of four parameters, Power, fuel flow, compressor discharge pressure, and exhaust gas temperature is presented and analyzed. The analysis shows that monitoring these parameters makes it possible to perform engine level and component level diagnostics through evaluating a binary code (generated by mentioned parameter variations) against the fault effects pattern in different load fractions and fault severities. The simulation also showed that the most power drop occurred under the compressor fouling by about 8.7% while the most reduction in thermal efficiency is observed under recuperator fouling by about 7.84%. Furthermore, the investigation showed the maximum decrease in the surge margin induced by the compressor fouling during the lower part-load operation by about 45.7% while in the higher loads created by the turbine fouling by about 14%.

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Section: Mgt Running Line Simulationmentioning

confidence: 99%

A methodology for identifying the most suitable measurements for engine level and component level gas path diagnostics of a micro gas turbine

Talebi

Tousi

Madadi

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…The lower heating values of the fuel, air mass flow rate, and fuel flow rate [17] are correlated and are expressed in Eqs. (4)- (7).…”

Section: Combustion Chambermentioning

confidence: 99%

“…It can be concluded from the study that the micro-gas-turbine performance calculation is strongly affected by the choice of constants in the compressor and turbine performance formulas. M. Kiaee et al [7] simulated a commercial single-shaft variable-speed micro gas turbine, the Turbec T100, using a performance adaptation method. Design-and off-design-point adaptation algorithms were investigated.…”

Section: Introductionmentioning

confidence: 99%

The Performance Prediction of a 30-KW Multi-Fueled Micro Gas Turbine

Matum¹,

Tjprc²

2019

IJMPERD

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This study focuses on the performance prediction of a 30-kW micro gas turbine, using natural gas, ethanol from sugarcane, and biogas from palm-oil residues. The theories of thermodynamics, fluid mechanics, and mathematical modelling were applied. To clarify the full-load and part-load performance of the micro gas turbine, a compressor performance characteristic map and a turbine performance characteristic map were developed. A steady-state thermodynamic model of the micro gas turbine was developed and validated against the manufacturing data for a Capstone C30 micro gas turbine, the results from testing a Capstone C30, and the analytical results. Natural gas properties were applied for model-validation purposes and the results were found to be in good agreement. The effects of the fuel variation on the electrical efficiency, fuel consumption, heat recovery at the recuperator, exhaust temperature, and power output of the micro gas turbine were investigated. This study found no significant difference in the micro-gasturbine performance when the fuel was changed from natural gas to renewable energy; i.e., ethanol and biogas. However, utilizing renewable energy instead of natural gas required much more fuel to be fed into the system, which increased the fuel expenses and operational costs.

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“…Comprehensive analysis of some microturbine behaviors such as turbine ramping times, ramp-up and ramp-down times during load changes is reported by Robert [27]. Wang et al have studied the general characteristics and optimization of single shaft microturbine at variable speed operation [28] while Kiaee et al reported algorithm for estimating the specifications and characteristic equations for the compressor and the turbine [29]. Performance study of the cogeneration system using a microturbine has been reported by Ho et al, while Myat et al reported the entropy generation minimization technique to optimize the cogeneration systems introducing the temperature cascading arrangement [30][31][32].…”

Section: Introductionmentioning

confidence: 98%