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43 results on '"Stark, Bernard H."'

2. Probing Techniques for GaN Power Electronics:How to Obtain 400+ MHz Voltage and Current Measurement Bandwidths without Compromising PCB Layout

Author

Dymond, Harry C P, Wang, Yushi, Jahdi, Saeed, and Stark, Bernard H

Subjects
Wide bandgap devices, infinity sensor, PCB layout, probing, current sensing
Abstract

Printed circuit board (PCB) layout critically influences the performance of GaN power electronic circuits, in terms of switching speed, overshoots, ringing, and generated EMI. Typically, low-impedance layout of gate-drive loops and switching cells is vital for performance. This paper briefly examines the circuit impedances required for adequate performance, and the bandwidth needed for measurement of switching waveforms. It is shown that many high-bandwidth voltage and current probing methods are not compatible with the circuit-layout requirements. The paper then presents PCB layout and probing techniques, including an updated version of the “Infinity” current sensor, that achieve both high-fidelity, wide-bandwidth (400+ MHz) voltage and current measurements, and clean, efficient switching.

Published
2022

6. Converter circuit design, semiconductor device selection and analysis of parasitics for micropower electrostatic generators

Author

Stark, Bernard H., Mitcheson, Paul D., Miao, Peng, Green, Tim C., Yeatman, Eric M., and Holmes, Andrew S.

Subjects
Circuit design -- Analysis, Electric current converters -- Usage, Metal oxide semiconductor field effect transistors -- Analysis, Circuit designer, Integrated circuit design, Electric current converter, Semiconductor device, Business, Electronics, Electronics and electrical industries
Abstract

For various medical monitoring and sensing applications it is desirable to power the electronics by scavenging energy from any locally available source. An electrostatic motion-driven generator for low-frequency (human body) motion has been developed by the authors using microelecromechanical system technology. The prototype generates pulses of 250 V on a 10-pF capacitor. This paper examines the design of a circuit and semiconductor devices to convert this energy to a low voltage. Because of the very small charge involved, the effects of leakage and parasitic stored charge are important. Converters for this application using silicon-on-insulator metal--oxide--semiconductor field-effect transistors and insulated gate bipolar transistors are compared using physics-based finite-element simulation. The overall effectiveness of the generation process is shown to be composed of several terms which are functions of system parameters such as generator flight time, semiconductor device area, and circuit inductance. It is shown that device area is a compromise between leakage current, charge storage, and on-state voltage. It can, for a given generator and inductance, be optimized to provide the maximum energy yield. Parasitic series inductance is shown to be of little importance to the circuit efficiency; however, parasitic capacitance has a significant influence. Index Terms--Buck converter, insulated gate bipolar transistor (IGBT), lateral power semiconductor device, microelecromechanical system (MEMS), micro generator, micropower electrostatic generators, metal-oxide semiconductor field-effect transistor (MOSFET), silicon-on-insulator (SOI).

Published
2006

7. Comparison of SOI power device structures in power converters for high-voltage, low-charge electrostatic microgenerators

Author

Stark, Bernard H. and Green, T.C.

Subjects
Power converters -- Research, Silicon-on-isolator -- Design and construction, Metal oxide semiconductor field effect transistors -- Design and construction, Business, Electronics, Electronics and electrical industries
Abstract

The alternative device topologies that may greatly increase the energy yield for a given system size by increasing both the generation efficiency and conversion efficiency are examined. An insulated gate bipolar transistors and a MOS-triggered thyristor, both based on previous silicon-on-insulator MOSFET designs are examined for their switching speed and losses using physics-based finite element simulation.

Published
2005

29. Correlating Site-Specific Meteorological Data and Power Availability for Small-Scale, Multi-Source Renewable Energy Systems

Author

Clark, James D. and Stark, Bernard H.

Subjects
Distributed powergeneration, Energy Analysis, Forecasting
Abstract

The paper presents a modelling methodology for small scale multi-source renewable energy systems. Using historical site-specific weather data, the relationships of cost, availability and energy form are visualised as a function of the sizing of photovoltaic arrays, wind turbines, and battery capacity. The specific dependency of each site on its own particular weather patterns show that unique solutions exist for each site. It is shown that in certain cases the capital component cost can be halved if the desired theoretical demand availability is reduced from 100% to 99%., {"references":["H. Yang, L. Lu, and W. Zhou, \"A novel optimization sizing model for\nhybrid solar-wind power generation system,\" Solar Energy, vol. 81, pp.\n76-84, 2007.","D. B. Nelson, M. H. Nehrir, and C. Wang, \"Unit sizing and cost analysis\nof stand-alone hybrid wind/PV/fuel cell power generation systems,\"\nRenewable Energy, vol. 31, pp. 1641-1656, 2006.","G. C. Seeling-Hochmuth, \"A combined optimisation concet for the\ndesign and operation strategy of hybrid-PV energy systems,\" Solar\nEnergy, vol. 61, pp. 77-87, 1997.","G. C. Seeling-Hochmuth, Optimisation of Hybrid Energy Systems\nSizing and Operation Control, 1999 ed: Kassel University Press GmbH,\n1998.","W. D. Kellogg, M. H. Nehrir, G. Venkataramanan, and V. Gerez,\n\"Generation unit sizing and cost analysis for stand-alone wind,\nphotovoltaic, and hybrid wind/PV systems,\" Energy conversion, ieee\ntransactions on, vol. 13, pp. 70-75, 1998.","P. Hjorth and A. Bagheri, \"Navigating towards sustainable development:\nA system dynamics approach,\" Futures, vol. 38, pp. 74-92, 2006.","O. Gergaud, B. Robin, D. Multon, and H. Ben Ahmed, \"Energy\nModeling of a Lead-Acid Battery Within Hybrid Wind / Photovoltaic\nSystems,\" presented at Proc. EPE, Toulouse, 2003.","M. Taleb, \"Performance of a Maximum Power Point Tracker (MPPT)\nPhotovoltaic Generator (PVG),\" Electric Power Components and\nSystems, vol. 35, pp. 367-375, 2007.","M. K. Deshmukh and S. S. Deshmukh, \"Modeling of hybrid renewable\nenergy systems,\" Renewable and Sustainable Energy Reviews, vol. 12,\npp. 235-249, 2008.\n[10] A. N. Celik, \"The system performance of autonomous photovoltaic-wind\nhybrid energy systems using synthetically generated weather data,\"\nRenewable Energy, vol. 27, pp. 107-121, 2002.\n[11] A. I. l. Merter Üner, \"Typical weather data of main Turkish cities for\nenergy applications,\" International Journal of Energy Research, vol. 24,\npp. 727-748, 2000.\n[12] S. Ransome and P. Funtan, \"Why hourly averaged measurement data is\ninsufficient to model PV system performance accurately,\" presented at\n20th European Photovltaic Solar Energy Conference, Barcelona, 2005.\n[13] U. M. Office, \"MIDAS Land Surface Stations Data (1853-current),\" in\nBristish Atmospheric Data Centre, http://badc.nerc.ac.uk/data/ukmomidas,\nEd., 2006.\n[14] H. H. El-Tamaly and A. A. E. Mohammed, \"Modeling and simulation of\nPhotovoltaic/Wind Hybrid Electric Power System Interconnected with\nelectrical utility,\" presented at Power System Conference, 2008.\nMEPCON 2008. 12th International Middle-East, 2008.\n[15] S. Brinkkemper, M. Saeki, and F. Harmsen, \"Meta-modelling based\nassembly techniques for situational method engineering,\" Information\nSystems, 10th International Conference on Advanced Information\nSystems Engineering, vol. 24, pp. 209-228, 1999.\n[16] G. D. G. C. Boccaletti, G. Fabbri, E. Nistico, \"Energy Models For Stand\nAlone Power Systems,\" presented at EETI - 5th International Congress\non Energy, 2004.\n[17] H. X. Yang, L. Lu, and J. Burnett, \"Weather data and probability\nanalysis of hybrid photovoltaic-wind power generation systems in Hong\nKong,\" Renewable Energy, vol. 28, pp. 1813-1824, 2003.\n[18] S. Ashok, \"Optimised model for community-based hybrid energy\nsystem,\" Renewable Energy, vol. 32, pp. 1155-1164, 2007.\n[19] J. Lara and H. Vangheluwe, \"AToM3: A Tool for Multi-formalism and\nMeta-modelling,\" in Fundamental Approaches to Software Engineering,\n2002, pp. 174-188.\n[20] J. K. Kaldellis, \"An integrated time-depending feasibility analysis model\nof wind energy applications in Greece,\" Energy Policy, vol. 30, pp. 267-\n280, 2002.\n[21] J. K. Kaldellis, P. Koronakis, and K. Kavadias, \"Energy balance analysis\nof a stand-alone photovoltaic system, including variable system\nreliability impact,\" Renewable Energy, vol. 29, pp. 1161-1180, 2004."]}

Published
2009
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