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On dynamic modeling of industrial gas turbines based on low calorific value (LCV) gaseous fuels

  • Technical Paper
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Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

Global energy demand is expected to increase in the following two decades. Operational flexibility of power generation systems is a key aspect when assessing potential solutions seeking to help meeting this expected increase in global energy demand. In low calorific value (LCV) gaseous fuels-fired power plants, it is paramount to consider the effects of the employed LCV/lean-gases-based fuels on the associated gas turbine systems and surrounding equipment. Moreover, because of the industrial processes usually occurring upstream these power plants, the fuel supply conditions change significantly during their normal operation. Gas turbines based on LCV gaseous fuels thus present a quite distinct engine behavior, and their modeling is therefore challenging. The dynamic modeling of such engines is the main focus of this work. Accordingly, the gas turbine dynamic model developed here is initially discussed, along with topics, such as gas turbine mass flow rates, cooling systems effectiveness and gas turbine component characteristics, relevant to the dynamic modeling of LCV fuels-based power plants. The use of the developed model for the simulation of an actual combined cycle power plant with cogeneration based on a LCV fuel is next highlighted. The main results show that overall acceptable agreements between computed parameters and actual power plant operating data are obtained. The corresponding average discrepancies range from 1 to 6%. In spite of the large number of factors directly influencing the numerical results obtained from the real-time simulations carried out, the power plant operating data trends are in general well reproduced by the computed results. The obtained results highlight in particular both the model applicability to operating scenarios presenting significant gradients in gas turbine characteristic parameters, and the need of including in the modeling key processes present in power plants actual operation.

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Abbreviations

A :

Area (m2)

a :

Characteristic parameter, constant (−)

b :

Characteristic parameter, constant (−)

Cp:

Specific heat at constant pressure (kJ/kg K)

c :

Characteristic parameter, constant (−)

h :

Specific enthalpy (kJ/kg)

\( \hbar \) :

Heat transfer (film) coefficient (kW/m2K)

I :

Inertia moment (kg m2)

k :

Characteristic parameter, constant (−)

M :

Mass (kg)

\( \dot{m} \) :

Mass flow rate (kg/s)

N :

Rotational speed (rad/s)

N * :

Non-dimensional speed (−)

PR:

Pressure ratio (−)

p :

Pressure (kPa)

\( \dot{Q} \) :

Heat rate (kW)

T :

Temperature (K)

t :

Time (s)

U :

Heat transfer coefficient (kW/m2 K)

u :

Specific Internal energy (kJ/kg)

V :

Volume (m3)

\( \dot{W} \) :

Power (kW)

\( \varGamma \) :

Characteristic parameter (−)

\( \Delta \) :

Delta (change) (−)

\( \varepsilon \) :

Effectiveness (−)

\( \eta \) :

Efficiency (−)

\( \rho \) :

Density (kg/m3)

\( \phi \) :

Equivalence ratio (−)

amb:

Ambient

c :

Cold side

cc:

Combustion chamber

db:

Dry bulb

f:

Fuel, filter

h:

Hot side

i:

Inlet

m:

Metal

o:

Outlet

r:

Reference

s:

Shaft

v:

Valve

wb:

Wet bulb

2:

Combustion chamber entry

3:

Combustion chamber exit

BFG:

Blast furnace gas

BTU:

British thermal unit

FAR:

Fuel-air ratio

HRSG:

Heat recovery steam generator

IGCC:

Integrated gasification combined cycle

IGV:

Inlet guide vane

ISO:

International Organization for Standardization

LCV:

Low calorific value

LHV:

Lower heating value

OEM:

Original equipment manufacturer

TIT:

Turbine inlet temperature

References

  1. World Energy Outlook 2016, International Energy Agency, www.worldenergyoutlook.org

  2. United Nations, Climate Change, The Paris Agreement, http://unfccc.int/paris_agreement/items/9485.php

  3. Kakaras E, Doukelis A, Prelipceanu A, Karellas S (2006) Inlet air cooling methods for gas turbine based power plants. J Eng Gas Turbines Power 128:312–317

    Article  Google Scholar 

  4. Al-Ibrahim AM, Varnham A (2010) A review of inlet air-cooling technologies for enhancing the performance of combustion turbines in Saudi Arabia. Appl Therm Eng 30:1879–1888

    Article  Google Scholar 

  5. Farzaneh-Gord M, Deymi-Dashtebayaz M (2011) Effect of various inlet air cooling methods on gas turbine performance. Energy 36:1196–1205

    Article  Google Scholar 

  6. Sahraei MH, McCalden D, Hughes R, Ricardez-Sandoval LA (2014) A survey on current advanced IGCC power plant technologies, sensors and control systems. Fuel 137:245–259

    Article  Google Scholar 

  7. Tsakomakas NG, Pilavachi PA, Polyzakis AL (2012) An economic comparison assessment of lignite and biomass IGCC power plants. Appl Therm Eng 38:26–30

    Article  Google Scholar 

  8. Modesto M, Nebra SA (2009) Exergoeconomic analysis of the power generation system using blast furnace and coke oven gas in a Brazilian steel mill. Appl Therm Eng 29:2127–2136

    Article  Google Scholar 

  9. Zhou B, Ye H, Zhang H, Li M (2016) Process monitoring of iron-making process in a blast furnace with PCA-based methods. Control Eng Pract 47:1–14

    Article  Google Scholar 

  10. Kim YS, Lee JJ, Kim TS, Sohn JL (2011) Effects of syngas type on the operation and performance of a gas turbine in integrated gasification combined cycle. Energy Convers Manag 52:2262–2271

    Article  Google Scholar 

  11. Rodrigues M, Walter A, Faaij A (2007) Performance evaluation of atmospheric biomass integrated gasifier combined cycle systems under different strategies for the use of low calorific gases. Energy Conver Manag 48:1289–1301

    Article  Google Scholar 

  12. Lee JJ, Kim YS, Cha KS, Kim TS, Sohn JL, Joo YJ (2009) Influence of system integration options on the performance of an integrated gasification combined cycle power plant. Appl Energy 86:1788–1796

    Article  Google Scholar 

  13. Pinto GRS (2015) Avaliação do desempenho de usinas termelétricas a ciclo combinado integradas com gaseificação via integração de programas especialistas, M.Sc. Dissertation, COPPE/Universidade Federal do Rio de Janeiro, RJ, Brazil

  14. Cellier FE, Kofman E (2006) Continuous system simulation. Springer, Berlin

    MATH  Google Scholar 

  15. Aminov Z, Nakagoshi N, Xuan TD, Higashi O, Alikulov K (2016) Evaluation of the energy efficiency of combined cycle gas turbine. Case study of Tashkent thermal power plant, Uzbekistan. Appl Therm Eng 103:501–509

    Article  Google Scholar 

  16. Alobaid F, Mertens N, Starkloff R, Lanz T, Heinze C, Epple B (2016) Progress in dynamic simulation of thermal power plants. Prog Energy Combust Sci 59:79–162

    Article  Google Scholar 

  17. Celis C, Pinto GRS, Teixeira T, Xavier E (2017) A steam turbine dynamic model for full scope power plant simulators. Appl Therm Eng 120:593–602

    Article  Google Scholar 

  18. Mehrpanahi A, Payganeh G, Arbabtafti M (2017) Dynamic modeling an industrial gas turbine in loading and unloading condition using a gray box method. Energy 120:1012–1024

    Article  Google Scholar 

  19. Mehrpanahi A, Payganeh G, Arbabtafti M, Hamidavi A (2017) Semi-simplified black-box dynamic modeling of an industrial gas turbine based on real performance characteristics. J Eng Gas Turbines Power 139:121601

    Article  Google Scholar 

  20. Mehrpanahi A, Hamidavi A, Ghorbanifar A (2018) A novel dynamic modeling of an industrial gas turbine using condition monitoring data. Appl Therm Eng 143:507–520

    Article  Google Scholar 

  21. Tsoutsanisa E, Meskinb N (2019) Dynamic performance simulation and control of gas turbines used for hybrid gas/wind energy applications. Appl Therm Eng 147:122–142

    Article  Google Scholar 

  22. Barsali S, De Marco A, Giglioli R, Ludovici G, Possenti A (2015) Dynamic modelling of biomass power plant using micro gas turbine. Renew Energy 80:806–818

    Article  Google Scholar 

  23. Chen M, Zhang Y, Liang Y, Peng D (2012) The application of optimization of gradual steps in blended-fuel power plant. In: Wang FL, Lei J, Lau RWH, Zhang J (eds) Multimedia and signal processing, communications in computer and information science, vol 346. Springer, Berlin, pp 491–498

    Google Scholar 

  24. Song J, Zhang A, Zheng H (2013) Study on dynamic optimization model of surplus gas distribution in iron and steel plant. Adv Mater Res 610–613:2228–2231

    Google Scholar 

  25. Mattos HAS, Bringhenti C, Cavalca DF, Silva OFR, Campos GB, Tomita JT (2016) Combined cycle performance evaluation and dynamic response simulation. J Aerosp Technol Manag 8:491–497

    Article  Google Scholar 

  26. Leyzerovich AS (2008) Steam turbines for modern fossil-fuel power plants. The Fairmont Press, Lilburn

    Google Scholar 

  27. Electric Power Research Institute (EPRI) (1993) Justification of simulators for fossil fuel power plants, Technical Report TR-102690, EPRI, USA

  28. Schobeiri MT, Attia M, Lippke C (1994) GETRAN: a generic, modularly structured computer code for simulation of dynamic behavior of aero- and power generation gas turbine engines. J Eng Gas Turbines Power 116:483–494

    Article  Google Scholar 

  29. Kulikov GG, Thompson HA (eds) (2004) Dynamic modelling of gas turbines—identification, simulation, condition monitoring and optimal control. Springer, London

    Google Scholar 

  30. Kim JH, Song TW, Kim TS (2001) Model development and simulation of transient behavior of heavy duty gas turbines. J Eng Gas Turbines Power 123:589–594

    Article  Google Scholar 

  31. Schobeiri MT (1986) A general computational method for simulation and prediction of transient behavior of gas turbines. In: ASME international gas turbine conference and exhibit, Dusseldorf, Germany

  32. Crosa G, Pittaluga F, Trucco A, Beltrami F, Torelli A, Traverso F (1998) Heavy-duty gas turbine plant aerothermodynamic simulation using simulink. J Eng Gas Turbines Power 120:550–556

    Article  Google Scholar 

  33. Simani S, Fantuzzi C (2006) Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype. Mechatronics 16:341–363

    Article  Google Scholar 

  34. Shin JY, Jeon YJ, Maeng DJ, Kim JS, Ro ST (2002) Analysis of the dynamic characteristics of a combined-cycle power plant. Energy 27:1085–1098

    Article  Google Scholar 

  35. Alves, M. A., Transitório não-adiabático de turbinas a gás, PhD Thesis, Instituto Tecnológico de Aeronáutica, Brazil (2003)

  36. Ferreira SB (2002) Thermoeconomic analysis and optimization of biomass fuel gas turbines, Ph.D. Thesis, Cranfield University, UK

  37. Roldan-Villasana EJ, Cardoso-Goroztieta MJ, Tavira-Mondragon JA, Rossano MB (2010) Lumped Parameters modelling of the waterwalls of a power plant steam generator. In: IEEE fourth UKSim European symposium on computer modeling and simulation, Pisa, Italy

  38. Cengel YA, Boles MA (2015) Thermodynamics, an engineering approach, 8th edn. McGraw-Hill Education, New York

    Google Scholar 

  39. Celis C, de Avellar VP, Ferreira SB, Braga SL (2007) Evaluation of different alternatives of power augmentation for an existing combined cycle power plant in Brazil, ASME Turbo Expo 2007: Power for Land, Sea, and Air

  40. Razak AMY (2007) Industrial gas turbines—performance and operability. Woodhead Publishing Limited, Cambridge

    Book  Google Scholar 

  41. Cohen H, Rogers GFC, Saravanamuttoo HIH (1996) Gas turbine theory, 4th edn. Longman Group Limited, Essex

    Google Scholar 

  42. Asgari H, Chen X, Morini M, Pinelli M, Sainudiin R, Spina PR, Venturini M (2016) NARX models for simulation of the start-up operation of a single-shaft gas turbine. Appl Therm Eng 93:368–376

    Article  Google Scholar 

  43. Rossi I, Sorce A, Traverso A (2017) Gas turbine combined cycle start-up and stress evaluation: a simplified dynamic approach. Appl Energy 190:880–890

    Article  Google Scholar 

  44. Ata AB, Alobaid F, Heinze C, Almoslh A, Sanfeliu A, Epple B (2020) Comparison and validation of three process simulation programs during warm start-up procedure of a combined cycle power plant. Energy Conver Manag 207:112547

    Article  Google Scholar 

Download references

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Correspondence to Cesar Celis.

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Technical Editor: Jose A. R. Parise.

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Celis, C., Pinto, G.R.S., de Souza, J.P.I. et al. On dynamic modeling of industrial gas turbines based on low calorific value (LCV) gaseous fuels. J Braz. Soc. Mech. Sci. Eng. 42, 238 (2020). https://doi.org/10.1007/s40430-020-02331-4

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  • DOI: https://doi.org/10.1007/s40430-020-02331-4

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