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1. Scalable Modeling of Transient Self-Heating of GaN High-Electron-Mobility Transistors Based on Experimental Measurements

Author

Ali Soltani, Meriem Bouchilaoun, Samuel Graham, Georges Pavlidis, Hassan Maher, Christophe Rodriguez, Adrien Cutivet, Bilal Hassan, Francois Boone, Laboratoire Nanotechnologies Nanosystèmes (LN2 ), Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Sherbrooke (UdeS)-École supérieure de Chimie Physique Electronique de Lyon (CPE)-Centre National de la Recherche Scientifique (CNRS), Institut Interdisciplinaire d'Innovation Technologique [Sherbrooke] (3IT), Université de Sherbrooke (UdeS), Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), Puissance - IEMN (PUISSANCE - IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), OMMIC, Université de Sherbrooke (UdeS)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Supérieure de Chimie Physique Électronique de Lyon (CPE)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Optoélectronique - IEMN (OPTO - IEMN), and This work was supported in part by the Fonds quèbècois de la recherche sur la nature et les technologies (FRQNT) and in part by the Natural Sciences and Engineering Research Council of Canada (NSERC). The review of this paper was arranged by Editor R. Venkatasubramanian

Subjects
Materials science, Thermal resistance, Gallium nitride, High-electron-mobility transistor, 01 natural sciences, Temperature measurement, law.invention, [SPI]Engineering Sciences [physics], chemistry.chemical_compound, gate resistance thermometry (GRT), law, 0103 physical sciences, Thermal, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, 010302 applied physics, high-electron-mobilitytransistors (HEMTs), business.industry, Transistor, modeling, Electronic, Optical and Magnetic Materials, chemistry, Gallium nitride (GaN), Logic gate, Optoelectronics, thermoreflectance, Transient (oscillation), business, transient temperature measurement
Abstract

International audience; Abstract:This paper details an extraction procedure to fully model the transient self-heating of transistors from a GaN HEMT technology. Frequency-resolved gate resistance thermometry (f-GRT) is used to extract the thermal impedance of HEMTs with various gate widths. A fully scalable analytical model is developed from the experimental results. In the second stage, transient thermoreflectance imaging (TTI) is used to bring deeper insights into the HEMTs' temperature distribution by individually extracting the transient self-heating of each finger. TTI results are further used to successfully validate the f-GRT results and the modeling of the thermal impedance. Overall, f-GRT is demonstrated to be a fast and robust method for characterizing the transient thermal characteristics of a GaN HEMT. For the first time to the authors' knowledge, a scalable model of the thermal impedance is extracted fully from experimental results.

Published
2019

2. 3D Modeling of Coils for Pulsed Field Magnetization of HTS Bulk Pellets in an Electrical Machine

Author

Mariusz Stepien, Alexandre Colle, Kévin Berger, Thierry Lubin, Boguslaw Grzesik, Jean Lévêque, Jakub Kapek, Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine (UL), Department of Power Electronics, Electrical Drives and Robotics, Silesian University of Technology, The authors would like to acknowledge the 'Région Lorraine' for its financial support concerning the purchase of the pulsed current source. Jakub Kapek would like to thanks the Erasmus+ program for the funding of his internship in Nancy., and The authors would like to thank Rachid Dadi from VACUUMSCHMELZE GmbH for providing us with the VACODUR 50 material, and Salah Eddine Bentridi for the English proofreading of the final version of the paper.

Subjects
Cryostat, Transient state, Materials science, Inductor, 01 natural sciences, Magnetization, 0103 physical sciences, Electrical and Electronic Engineering, 010306 general physics, Inductance, Pulse measurements, 010302 applied physics, Superconductivity, Condensed matter physics, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Modeling, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Magnetic field, Superconducting rotating machines, [PHYS.COND.CM-S]Physics [physics]/Condensed Matter [cond-mat]/Superconductivity [cond-mat.supr-con], Very high field and NMR magnets, [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, Electromagnetic coil, Bulk conductors
Abstract

International audience; In this work, we propose to study and design a coil used to magnetize, by means of a Pulsed Field Magnetization (PFM) process, an inductor of a radial flux superconducting machine with one pair of poles. Each pole contains four similar HTS bulks of 30 mm diameter arranged in a square pattern. The cryostat already exists for this application and the temperature of the HTS bulks can vary from 4.2 K to their critical temperature, in transient state. For a given primary source of energy, here a capacitor bank of 10 kJ (5 mF, 2 kV) is available, the PFM process depends strongly on the value of the coil inductance used to generate pulsed field, because it defines the waveform of the current: peak value and time constant. Thus, 3D modeling of the coil is required in order to be sure that its inductance and the magnetic field produced will provide a full magnetization of HTS bulks. From the practical point of view, we would like to achieve an average magnetization of each pole around 3 T. In this paper, numerical modeling of coils with different number of turns coupled with circuit's equations is achieved. The maximum magnetic field obtained on the HTS bulks and estimated magnetization at the top center of each HTS bulk, are presented and discussed.

Published
2018

3. Model selection, identification and validation in anaerobic digestion: a review

Author

Cristina Martin, Jorge Rodríguez, Johan Mailier, Andres Donoso-Bravo, César Arturo Aceves-Lara, Alain Vande Wouwer, Automatic Control Laboratory, Université de Mons (UMons), modelEAU, Département de génie civil et de génie des eaux, Université Laval [Québec] (ULaval), Universidade de Santiago de Compostela [Spain] (USC ), Masdar Institute of Science and Technology [Abu Dhabi], Laboratoire d'Ingénierie des Systèmes Biologiques et des Procédés (LISBP), Institut National de la Recherche Agronomique (INRA)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State, Science Policy Office. The scientific responsibility rests with its author(s). This study is also supported by a grant from Belspo (Belgian Science Policy) through its Postdoc fellowships to non-EU researchers program. Johan Mailier is a research fellow supported by the FNRS (Belgian National Fund for Scientific Research)., and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Engineering, Identification, Environmental Engineering, Process (engineering), 020209 energy, engineering, [SDV]Life Sciences [q-bio], 02 engineering and technology, 010501 environmental sciences, water resources, 01 natural sciences, Field (computer science), environmental, Kinetic parameters, Water Purification, Lead (geology), Digestion (alchemy), Biogas, Anaerobic digestion, [SDV.IDA]Life Sciences [q-bio]/Food engineering, 0202 electrical engineering, electronic engineering, information engineering, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, Anaerobiosis, environmental sciences, Waste Management and Disposal, 0105 earth and related environmental sciences, Water Science and Technology, Civil and Structural Engineering, Waste management, business.industry, Ecological Modeling, Model selection, Modeling, Uncertainty, Reproducibility of Results, Pollution, Identification (information), Models, Chemical, 13. Climate action, Biochemical engineering, business, Sensitivity analysis
Abstract

International audience; Anaerobic digestion enables waste (water) treatment and energy production in the form of biogas. The successful implementation of this process has lead to an increasing interest worldwide. However, anaerobic digestion is a complex biological process, where hundreds of microbial populations are involved, and whose start-up and operation are delicate issues. In order to better understand the process dynamics and to optimize the operating conditions, the availability of dynamic models is of paramount importance. Such models have to be inferred from prior knowledge and experimental data collected from real plants. Modeling and parameter identification are vast subjects, offering a realm of approaches and methods, which can be difficult to fully understand by scientists and engineers dedicated to the plant operation and improvements. This review article discusses existing modeling frameworks and methodologies for parameter estimation and model validation in the field of anaerobic digestion processes. The point of view is pragmatic, intentionally focusing on simple but efficient methods.

Published
2011