A Simplified Hybrid Approach to Dynamic Model a Real HRSG

Rossi, Iacopo; Sorce, Alessandro; Traverso, Alberto; Pascucci, Fabio

doi:10.1115/gt2015-42654

Cited by 3 publications

(13 citation statements)

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“…These hypothesis, well confirmed by data, have been already validated against experimental measurements in [33] and they led to an absolute average error lower than 10°C for all the HXs, 2 kg/s for steam flow rate and 4 bar for the pressure drums. In Fig.…”

Section: Modeling Approachsupporting

confidence: 75%

“…Since Gulen et al have previously proposed the modelling approach [32] and its implementation has been already discussed and validated [33], so it is briefly described in the following section. It is important to remark that the model has to be defined in respect of the target GTCC plant taken into consideration.…”

Section: Modeling Approachmentioning

confidence: 99%

“…This is based on real field data measurements and consists of a calibration of the numerical parameters involved in the model computation. The training is refined by considering R2 results of the statistical analysis, in order to obtain a good fitting of the experimental data [33]. It should be remarked that influence of ambient conditions on the recovery process is strong, thus the model should not be used outside the ambient temperature range used during the training process.…”

Section: Modeling Approachmentioning

confidence: 99%

“…Some other minor parameters are involved in the training process, such as pressure function or fitting exponent a. More information and considerations, together with the model validation for normal operating conditions, can be found in [33]. This research is mainly focused on start-up simulation.…”

Section: Training Processmentioning

confidence: 99%

“…This was critically analyzed in [33] by the Authors, and validation against experimental data has been presented…”

Section: Introductionmentioning

confidence: 99%

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Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach

2017

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Section: Modeling Approachsupporting

confidence: 75%

Section: Modeling Approachmentioning

confidence: 99%

Section: Modeling Approachmentioning

confidence: 99%

Section: Training Processmentioning

confidence: 99%

“…This was critically analyzed in [33] by the Authors, and validation against experimental data has been presented…”

Section: Introductionmentioning

confidence: 99%

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Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach

2017

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Butane-based heat pump for advanced GTCC applications: static and dynamic model validation

Anfosso

Gini

Mantelli

et al. 2022

J. Phys.: Conf. Ser.

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The Thermochemical Power Group (TPG) of the University of Genoa is investigating innovative solutions to increase the flexibility of gas turbine combined cycles (GTCC) and extend their operative range by integrating large size high performance heat pumps. Achieving this goal would make GTCCs more competitive in the future energy market, which will be characterized by a heavy presence of non-dispatchable renewable energy sources. Within this framework, the authors designed and built a new experimental facility to emulate advanced GTCCs at laboratory scale, integrating a 100 kWel micro gas turbine (MGT), a 10 kWel heat pump (HP) and a 180 kWh cold thermal energy storage (TES), with scale-up equations and dynamic models, capable of hardware-in-the-loop tests. The focus of this article is on the HP, which uses n-butane (R600) as working fluid and can be used both to heat and cool down the MGT compressor intake. The HP features one superheater and a 6-cylinder reciprocating compressor, which rotational speed can be continuously varied from 900rpm to 1800rpm. A dynamic model of the HP was developed in TRANSEO, with dedicated Matlab-Simulink® models. This model includes all the components of the HP closed loop, making it possible to simulate its performance and monitor all the main process parameters, such as compressor operation and condensing pressure. This model can be used to simulate the HP in various conditions, including part-load and transient operations, and to aid the design of the advanced GTCC control system. The evaporator and condenser models solve a system of non-linear equations to compute pressure, temperature, and distribution of the different phases of the working fluid along the heat exchangers. Such phase distribution is computed following a moving boundary approach. An experimental campaign was carried out to collect data regarding the stationary performance of the HP. Values of COP and thermal power were analysed as a function of compressor speed and pressure at the condenser, keeping the conditions at the evaporator constant. Then, its transient behaviour was characterized, observing its response to step changes of both evaporator and condenser thermal loads. The model was then successfully calibrated and validated on both stationary and transient data, showing good accuracy. Based on these results, it will be possible to integrate the HP model within larger system simulation tools. Having an accurate digital twin of the whole GTCC integrating HPs and TES will make possible to develop and verify complex control logics on many different scenarios, relying on a safe model-in-the-loop setup, before actual implementation in the field.

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Physics-Based Dynamic Models of Three SOFC/GT Emulator Test Rigs

Rossi

Traverso

Hohloch

et al. 2017

Journal of Engineering for Gas Turbines and Power

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This paper presents the development, implementation, and validation of a simplified dynamic modeling approach to describe solid oxide fuel cell gas turbine (SOFC/GT) hybrid systems (HSs) in three real emulator test rigs installed at University of Genoa (Italy), German Aerospace Center (DLR, Germany), and National Energy Technology Laboratory (NETL, USA), respectively. The proposed modeling approach is based on an experience-based simplification of the physical problem to reduce model computational efforts with minimal expense of accuracy. Traditional high fidelity dynamic modeling requires specialized skills and significant computational resources. This innovative approach, on the other hand, can be easily adapted to different plant configurations, predicting the most relevant dynamic phenomena with a reduced number of states: such a feature will allow, in the near future, the model deployment for monitoring purposes or advanced control scheme applications (e.g., model predictive control). The three target systems are briefly introduced and dynamic situations analyzed for model tuning, first, and validation, then. Relevance is given to peculiar transients where the model shows its reliability and its weakness. Assumptions introduced during model definition for the three different test rigs are discussed and compared. The model captured significant dynamic behavior in all analyzed systems (in particular those regarding the GT) and showed influence of signal noise on some of the SOFC computed outputs.

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A Simplified Hybrid Approach to Dynamic Model a Real HRSG

Cited by 3 publications

References 0 publications

Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach

Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach

Butane-based heat pump for advanced GTCC applications: static and dynamic model validation

Physics-Based Dynamic Models of Three SOFC/GT Emulator Test Rigs

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