Theoretical model with experimental validation of a regenerative blower for hydrogen recirculation in a PEM fuel cell system

Badami, Marco; Mura, Massimiliano

doi:10.1016/j.enconman.2009.10.022

Cited by 69 publications

(27 citation statements)

References 1 publication

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“…The performance characteristics of each kind of blowers or compressors are different, even the same kind are not similar due to manufacturing factors and environmental factors. Although many studies on blower modelling have been done, such as those methods based on theoretical analysis (Yoo et al 2005), numerical modelling (Badami and Mura 2010) and experimental investigation (Badami and Mura 2012), more research is still needed to improve the models in order to predict the behaviors of the blower in a fuel cell system more accurately.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Performance Modelling of the Regenerative Blower for Air Supply of SOFC System with Random Forest and Bayesian Optimization

Zhao

Wu²,

Xiong

et al. 2020

Preprint

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Abstract Air starvation is a serious hazard during the operation of a solid oxide fuel cell (SOFC) system. So, an accurate performance model of the air supply system is needed for the control of air flow rate and the reduction of air starvation. The performance modelling of a regenerative blower, which is used for the air supply of a 5 kW SOFC system during power generation, is proposed based on the methods of random forest (RF) and Bayesian Optimization (BO). The performance model is first built through the RF method. The BO algorithm is then used to adjust the hyper-parameters of the model. The developed model can predict the outlet air flow rate through the operation data of regenerative blower, i.e. the rotation speed of impeller, the inlet and outlet pressure, humidity and temperature, without specific geometrical parameters. A series of operation data obtained from an experimental test rig are adopted to train and validate the presented method. Finally, the prediction performance of the developed algorithm is compared with different machine learning methods, such as decision tree regression, deep neural network. Results show that the proposed method can predict the outlet air flow rate under different working conditions with minimum prediction errors within 3.5% and acceptable computational cost. Therefore, the developed algorithm is promising for performance modelling of the blower, which can be used to predict the outlet flow rate and control the air supply system at SOFC in our next research.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Performance Modelling of the Regenerative Blower for Air Supply of SOFC System with Random Forest and Bayesian Optimization

Zhao

Wu²,

Xiong

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…They reported a 3.17% increase in pressure for the new design compared to the reference when operated under the same design flow condition. Badami and Mura [12] carried out theoretical and experimental investigations for a regenerative blower used for hydrogen recirculation in an FEM fuel cell system. They proposed a theoretical model based on the momentum exchange theory for a side channel impeller and compared theoretical data to experimental data on blower performance.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Microbubble Pump with Novel ‘S-Shape’ Impeller by Experimental and Numerical Analysis at Design and Off-Design Operating Conditions

Ali

Jang

2021

Applied Sciences

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A microbubble pump with a novel ‘S-shape’ impeller is introduced to evaluate pump performance under design and off-design conditions. The robustly designed ‘S-shape’ impeller has a continuously connected impeller blade, which improves the structural strength of the impeller blades as well as pump performance. Pump performance is evaluated by experimental measurements and numerical simulations at three different flow conditions. An experimental apparatus for measuring pump performance is fabricated, and pressure, flowrate, and pump torque are measured in real-time at each flow condition, and the measured data are saved using a data logging system. In order to analyze the reliability of the measured data, evaluations of uncertainty and errors are performed for each of the flow conditions. A commercial code, ANSYS CFX, is introduced to analyze the flow field inside the pump impeller and the pump performance. Throughout the microbubble pump’s performance analysis under design and off-design conditions, turbulent kinetic energy has a higher value as the flowrate is relatively small compared to the design flow condition. It is noted that violent mixing between the internal flow inside the impeller and the channel flow increases turbulent kinetic energy. The higher turbulent kinetic energy observed in the lower-flow condition corresponds to the higher relative uncertainty. In the design flow condition, the highest magnitudes of the recirculating flow are observed as compared to the other two flow conditions. The highest recirculating flow observed at the design flow condition helps to achieve a better momentum exchange, thus increasing the overall efficiency of pump.

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“…Senoo [3] compared the turbulent shear force theory with the momentum exchange theory using mathematical models and showed that the two theories were interchangeable. Badami and Mura [4] also proposed a theoretical model of a regenerative blower utilizing two components: a tangential component, which determines the effective flow rate, and a meridional component that determines the circulatory flow rate.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of a Novel ‘S-shape’ Impeller Blade for a Microbubble Pump

2019

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The newly designed impeller blade, a so-called novel ‘S-shape’ blade, used for microbubble pumps has been introduced to enhance pump performance. Unlike a conventional blade having separated blades, like cantilever-shape blades, the newly designed impeller has a continuous blade, thus having a relatively robust structure as compared to a conventional impeller. The optimal blade design of the ‘S-shape’ blade has been demonstrated to obtain a higher pump efficiency. To analyze the three-dimensional flow field inside the pump by numerical simulation, a general analysis code, ANSYS CFX, is employed in the present work. The computed pump efficiency has a maximum error of 4 percent compared to the experimental data. The optimal design of the pump impeller blade is based on geometric constraints considering blade manufacturing, and uses three design variables: the number of blades, the blade thickness and the radius of the blade rib. The response surface method, a global optimization method, is employed to optimize the pump impeller blade. Throughout the blade optimization of the ‘S-shape’ blade, it is found that the chief influence on the pump efficiency is the number of the impeller blades. Pump efficiency, an object function, is increased by up to 35.3 percent, which corresponds to a 3.7 percent increase compared to the reference one. It is no use to say that the ‘S-shape’ blade having a continuously connected blade has more rigid characteristics. The larger pressure increases of the optimized pump along with the volute casing wall is observed from the middle position of the rotational direction, which comes from the increase of momentum energy due to larger circulating flow inside each blade passage as compared to the reference one. The detailed flow field inside the pump blades is also analyzed and compared.

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Theoretical model with experimental validation of a regenerative blower for hydrogen recirculation in a PEM fuel cell system

Cited by 69 publications

References 1 publication

WITHDRAWN: Performance Modelling of the Regenerative Blower for Air Supply of SOFC System with Random Forest and Bayesian Optimization

WITHDRAWN: Performance Modelling of the Regenerative Blower for Air Supply of SOFC System with Random Forest and Bayesian Optimization

Performance Analysis of a Microbubble Pump with Novel ‘S-Shape’ Impeller by Experimental and Numerical Analysis at Design and Off-Design Operating Conditions

Optimal Design of a Novel ‘S-shape’ Impeller Blade for a Microbubble Pump

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