A steam turbine dynamic model for full scope power plant simulators

Celis, César; Pinto, Gustavo R. S.; Teixeira, Tairo; Xavier, Érica

doi:10.1016/j.applthermaleng.2017.03.131

Cited by 15 publications

(11 citation statements)

References 27 publications

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“…Following previous works [17,34], the momentum equation is not included here as no dimensions are considered in the gas turbine dynamic model utilized. Equations (1) and (2) are applied to each gas turbine component with proper values for the heat transferred and shaft power, Q h and Ẇ s , respectively.…”

Section: Gas Turbine Dynamic Modelmentioning

confidence: 99%

“…The modeling and simulation [14,15] of the complex equipment involved in power generation and their relationship with the surrounding systems comes therefore as powerful if not mandatory supporting tool. This aspect is emphasized in several research works developed in the past including those (i) highlighting the benefits of dynamic simulation as a cost-efficient tool for improving the flexibility of dispatchable power generation in transient operation [16], and (ii) seeking to enhance the equipment behavior simulation and to improve operators training practices [17]. Other key related works include those dealing with the dynamic modeling of gas turbines based on grey [18] and black [19] box models, condition monitoring data [20], constant mass flow and inter-component volume methods [21], and physical phenomena associated with combustion processes and heat exchanging prevailing mechanisms [22].…”

Section: Introductionmentioning

confidence: 99%

“…Potential savings associated with the use of these simulators in fossil fuel power plants can be significant [27]. Computer-based models for full scope simulators are similar to those used in power systems long-term dynamic simulations [17]. The referred models must be run in real time however, implying that computational cost is a primary issue here.…”

Section: Introductionmentioning

confidence: 99%

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

Celis

Pinto

Souza

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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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. Keywords Power plants • Gas turbines • Low calorific value gaseous fuels • Dynamic modeling List of symbols Variables A Area (m 2) 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) ℏ Heat transfer (film) coefficient (kW/m 2 K) I Inertia moment (kg m 2) k Characteristic parameter, constant (−) M Mass (kg) m Mass flow rate (kg/s) N Rotational speed (rad/s) N * Non-dimensional speed (−) PR Pressure ratio (−) p Pressure (kPa) Q Heat rate (kW) T Temperature (K)

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Section: Gas Turbine Dynamic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Celis

Pinto

Souza

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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“…High temperature exhaust gas travels through the HRSG gas path and exits at about 132°C. (Celis C 2017, Zimmer, Gerta 2008, Chaibakhsh A 2008. Table 4 lists the simulation results of all the power generation and power consumption units of two researched IGFC systems.…”

Section: Pure Oxygen Combustion and Hrsgmentioning

confidence: 99%

The effects of gasification technology on IGFC system efficiency

Jin

Guo³

et al. 2020

Preprint

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As one of the significant part of IGFC (integrated gasification fuel cell) system, coal gasification technology has an important effect on system efficiency as well as technological process. To figure out what kind of gasifier technology could benefit IGFC system most, we select two representative gasifiers for comparison, which are E-Gas gasifier and Shell gasifier. In this study MW-level E-gas IGFC system and Shell IGFC system models are developed respectively, moreover, the energy analysis of two systems are carried out simultaneously. The results show that SOFC DC Power efficiency and system net plant efficiency of E-gas IGFC system are 52.82% and 50.89% , both higher than Shell IGFC system, which are 49.24% and 49.74%; under the same design conditions, gasifier with high content of CH 4 would be easier to obtain higher SOFC power efficiency as well as system net efficiency. The present work is helpful to provide gasifier selection suggestions for large-scale IGFC system.

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“…Thermal fatigue cracking of steam turbine components is not the only technical problem related with turbine operation. Various thermal and mechanical inertia effects influence the operational characteristics of steam turbines and require dynamic models for accurate predictions of transient states (Celins et al, 2017). Differences in thermal expansion between rotors and casings result in altered axial clearances and their unsafe decrease during turbine operation must be avoided (Kosman et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Applicability of Notch Stress-Strain Correction Methods to Low-Cycle Fatigue Life Prediction of Turbine Rotors Subjected to Thermomechanical Loads

Banaszkiewicz

Dudda

2018

Acta Mechanica Et Automatica

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The paper analyses the possibility of using analytical methods of notch stress-strain correction in low-cycle fatigue life predictions of steam turbine rotors operating under non-isothermal conditions. The assessment was performed by comparing strain amplitudes calculated using the Neuber and Glinka-Molski methods and those predicted by the finite element analysis (FEA) employing elastic-plastic material model. The results of investigations reveal that the Neuber method provides an upper bound limit, while the Glinka-Molski method results in a lower bound limit of strain amplitude. In the case of rotor heat grooves, both methods provide equally accurate results of notch strain amplitude and are suited to estimating lower and upper bound limits of low-cycle fatigue life under non-isothermal conditions.

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A steam turbine dynamic model for full scope power plant simulators

Cited by 15 publications

References 27 publications

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

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

The effects of gasification technology on IGFC system efficiency

Applicability of Notch Stress-Strain Correction Methods to Low-Cycle Fatigue Life Prediction of Turbine Rotors Subjected to Thermomechanical Loads

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