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Development of surrogate-optimization models for a novel transcritical power cycle integrated with a small modular reactor

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Energy and AI 2024年第1期15卷 15-25页

作者： Yili Zhang jacob bryan Geordie Richards Hailei Wang Department of Mechanical&Aerospace Engineering Utah State UniversityLoganUT 84322USA

In recent years,various types of surrogate optimization models have been proposed to reduce the computational time and to improve the emulation *** this study,by leveraging an ANN surrogate model developed earlier,a comprehensive and efficient optimization algorithm is conceived for the global optimal design of an integrated regenerative methanol transcritical *** combines a unique converging/diverging classifier model into the surrogate model to form a surrogate-based model,which significantly improves the prediction accuracy of the objective *** binary classifiers are explored and the multi-layer feed-forward(MLF)neural network classifier is *** addition,within the five global optimizers being explored,the basinhopping(BH)and dual-annealing(DA)are *** optimal surrogate-based model and global optimizers are then combined to form a unique surrogate-optimizer *** surrogate-optimizer model is slightly outperformed by the physics-based model in terms of the optimization results,the time consumption of the surrogate-optimizer model during the optimization searching process is 99%less than that of the physicsbased *** the results,the surrogate-optimizer model is slightly outperformed by the physics-based model in terms of the optimization results,where the Levelized Cost of Energy(LCOE)of the Surrogate-DA and Surrogate-BH models are 77.912 and 78.876$/MWh,respectively,compared to the 77.190$/MWh of the Baseline model with fairly close penalties between *** the meantime,the time consumption of the surrogate-optimizer model during the optimization searching process is 99%less than that of the physics-based model.

关键词： Surrogate model Optimization Binary classifier model Global optimizer Thermodynamic model Transcritical cycle Small modular reactors

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High-g Shocking Testing of the Martlet Wireless Sensing System

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Sound & Vibration 2018年第3期52卷 6-11页

作者： Xi Liu Xinjun Dong Yang Wang Lauren Stewart jacob Dodson bryan Joyce School of Civil and Environmental Engineering Georgia Inst.of TechnologyAtlantaGAUSA Air Force Research Laboratory Munitions DirectorateEglin AFBFLUSA Energy Technology and Materials Division University of Dayton Research Inst.Eglin AFBFLUSA

This article reports the latest development of a wireless sensing system,named Martlet,on high-g shock acceleration *** Martlet sensing node design is based on a Texas Instruments Piccolo microcontroller,with clock frequency programmable up to 90 *** high clock frequency of the microcontroller enables Martlet to support high-frequency data acquisition and high-speed onboard *** addition,the extensible design of the Martlet node conveniently allows incorporation of multiple sensor *** this study,a high-g accelerometer interface board is developed to allow Martlet to work with the selected microelectromechanical system(MEMS)high-g *** low-pass and highpass filters,amplification gains are also implemented on the high-g accelerometer interface *** impact experiments are conducted to validate the performance of the Martlet wireless sensing system with the high-g accelerometer *** results of this study show that the performance of the wireless sensing system is comparable to the cabled system.

关键词： Shock test wireless sensors data acquisition system hydraulic blast actuator Martlet wireless sensing unit

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