Thermodynamic modelling and real-time control strategies of solar micro gas turbine system with thermochemical energy storage

Yang, Jiamin; Xiao, Gang; Ghavami, Mohsen; Al-Zaili, Jafar; Yang, Tianfeng; Sayma, A. I.; Ni, Dong

doi:10.1016/j.jclepro.2021.127010

Cited by 21 publications

(20 citation statements)

References 20 publications

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“…The pressurized receiver stood out as the only suitable component for a micro gas turbine-based solar dish system, due to the assumed pressure drop constraint. Yang et al [83] proposed a thermodynamic model and a real-time control strategy of a solar MGT coupled with a thermochemical energy storage (TCES); the mathematical model involved the actual direct normal irradiance (DNI) and the disturbance for both short and long periods. The simulations showed a low risk of surging or choking and highlighted the better performance of constant turbine outlet temperature operation control compared to constant shaft speed control.…”

Section: Sofc-mgt Systemsmentioning

confidence: 99%

Numerical Modeling of Energy Systems Based on Micro Gas Turbine: A Review

Reale

Sannino

2022

Energies

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In the context of the great research pulse on clean energy transition, distributed energy systems have a key role, especially in the case of integration of both renewable and traditional energy sources. The stable interest in small-scale gas turbines can further increase owing to their flexibility in both operation and fuel supply. Since their not-excellent electrical efficiency, research activities on micro gas turbine (MGT) are focused on the performance improvements that are achievable in several ways, like modifying the Brayton cycle, integrating two or more plants, using cleaner fuels. Hence, during the last decades, the growing interest in MGT-based energy systems encouraged the development of many numerical approaches aimed to provide a reliable and effective prediction of the energy systems' behavior. Indeed, numerical modeling can help to individuate potentialities and issues of each enhanced layout or hybrid energy system, and this review aims to discuss the various layout solutions proposed by researchers, with particular attention to recent publications, highlighting the adopted modeling approaches and methods.

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Section: Sofc-mgt Systemsmentioning

confidence: 99%

Numerical Modeling of Energy Systems Based on Micro Gas Turbine: A Review

Reale

Sannino

2022

Energies

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“…This study allows for the analysis of the turbine condition monitoring system and reduces maintenance costs, while also improving the efficiency of the turbine control system under review. Also, Yang et al (2021) performed a thermodynamic modeling for the development Merouane Alaoui, Obaid S. Alshammari, Abdelhamid Iratni, Ahmed Hafaifa, Houssem Jerbi of a real-time control strategy applied to a solar micro gas-turbine and Eslami & Banazadeh (2021) improved the control performance for gas turbines in order to reverse performance losses with the selection of minimum control actions, while analyzing the various factors that triggered the aging and degradation of the examined gas turbine, in order to lengthen its useful life. Hence, they have improved the control loop control dynamics limitations optimally, in comparison with the conventional control techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, they have improved the control loop control dynamics limitations optimally, in comparison with the conventional control techniques. Yang et al (2021) created an optimal fuzzy controller with combined action (proportional, integral and derivative) for the improvement of control quality for a micro gas turbine, with hybridization of the optimized particle swarm optimization algorithms and of a fuzzy regulator rule using an improved Cuckoo search algorithm. The results obtained by this fuzzy adjustment structure show the improvements made to the performance of the analyzed micro gas turbine, in terms of dynamic response, speed and stabilization time as a function of the load variation of this turbine.…”

Section: Introductionmentioning

confidence: 99%

Gas Turbine Speed Monitoring Using a Generalized Predictive Adaptive Control Algorithm

ALAOUI¹,

Alshammari²,

Iratni³

et al. 2022

STUD INFORM CONTROL

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The outstanding performance of modern gas turbine power plants requires an efficient and robust control strategy in order to recover the losses caused by the undesirable effects and the instabilities related to their operation. Also, these losses can be the cause of their unstable dynamic behaviour during full-load and partial load operation in the unplanned shutdown state. Hence, choosing the right control strategy can improve the operation of this type of machine by increasing its efficiency by up to 60%. This paper proposes the implementation of an innovative control strategy based on a generalized predictive adaptive control algorithm for monitoring the rotation speed of a Solar Titan 130 gas turbine, with the purpose of considering the constraints related to the nonlinear behavior of a turbine during large variations in machine load. The aim is to automatically adjust the parameters of the regulator of the turbine's control loop in real time, with a recursive estimation of these parameters. Using the experimental input/output measurements in order to study its behavior, by integrating the predictive control estimators, ensures the superior performance of the analyzed gas turbine in terms of energy, efficiency and robustness regarding the parametric uncertainties and the variation of the turbine load.

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“…The integration of TES further increases the solar share by redistributing the thermal energy on the time scale. Moreover, its large thermal inertia also helps stabilizing turbine operation by mitigating the influence of climate condition changes. , Among the TES medium candidates, thermochemical energy storage (TCES), especially the metal-oxide, shows superior advantages of high energy density, high storage temperature, and good compatibility with air. − Thus, metal-oxide-based TCES is suitable for the solar-powered gas turbine system.…”

Section: Introductionmentioning

confidence: 99%

“…The Commonwealth Scientific and Industrial Research Organization (CSIRO) and Mitsubishi Heavy Industries (MHI) studied the integration of solar air turbine with TES via component experiments and system simulations. , In our previous work, the solar-only MGT system is studied with the addition of TCES in the CSP MGT with TES (SolGATS) project . Real-time control strategies based on proportional–integration–differentiation (PID) controllers have been proposed and implemented in thermodynamic simulations . This paper is the further investigation on the real-time system control.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of a Solar Power System with Microturbine and Thermochemical Energy Storage

Xiao

Yang

2022

Ind. Eng. Chem. Res.

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This paper presents the model predictive control (MPC) application on the solar power system with microturbine and thermochemical energy storage (TCES). To investigate the potential of a solar-powered turbine, a solar receiver and a TCES are introduced to the Brayton cycle as the replacement of the combustor. MPC is applied to offer the constrained multi-variable real-time optimization control. To increase the practicability in the solar industry, a custom-made multi-modeling approach is proposed based on the close relationship between direct normal irradiance and system states. Feedback correction mechanisms are designed to improve the prediction and target tracking accuracies. During the regulatory control under both extreme and realistic conditions, the multi-MPC (MMPC) shows stronger adaptability and reliability than proportional–integration–differentiation (PID) and higher tracking accuracies than the single-linear-model-based MPC. Although the control performance could be further improved by employing nonlinear MPC (NMPC), the much longer optimization time of NMPC was unsuitable for real-time control. MMPC is further adapted to track the grid demand, which is technically unachievable by PID in the current system. While the output power precisely follows the demand, the performance parameters can still stay close to their design values, retaining a high system efficiency. Overall, the proposed MMPC enables power demand tracking operation of solar air turbine systems, and can ensure high stability and system efficiency.

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Thermodynamic modelling and real-time control strategies of solar micro gas turbine system with thermochemical energy storage

Cited by 21 publications

References 20 publications

Numerical Modeling of Energy Systems Based on Micro Gas Turbine: A Review

Numerical Modeling of Energy Systems Based on Micro Gas Turbine: A Review

Gas Turbine Speed Monitoring Using a Generalized Predictive Adaptive Control Algorithm

Model Predictive Control of a Solar Power System with Microturbine and Thermochemical Energy Storage

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