BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Amsterdam BEGIN:DAYLIGHT DTSTART:20260329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260217T140038Z UID:807A6EB9-AD3B-4465-BB01-ACBB27494755 DTSTART;TZID=Europe/Amsterdam:20260217T100000 DTEND;TZID=Europe/Amsterdam:20260217T110000 DESCRIPTION:--Technical Webinar Series by IEEE Benelux Transportation Elect rification Council Chapter--\n\nTopic: Hydrogen fuel cell digital twins ch allenges from a modeling perspective\n\nSpeaker: Prof. Fei Gao\, IEEE Fell ow\, UTBM\, France\n\n[]\n\nBio: Prof. Fei Gao serves as the Executive Dir ector of Research\, Doctoral Studies\, and Innovation at the University of Technology of Belfort-Montbéliard (UTBM) and is also a Full Professor at the School of Energy and Computer Science at UTBM\, France. He earned his PhD in Renewable Energy from UTBM in 2010\, receiving the Distinguished Y outh Doctor Award. Prof. Gao specializes in hydrogen fuel cells for transp ortation and digital twin technology in modern power electronics and energ y systems. He is a Fellow of both IEEE and IET. His academic contributions include authoring or co-authoring 3 books\, 4 book chapters\, and over 20 0 technical publications\, with over 130 published in international journa ls. He received the 2020 IEEE J. David Irwin Early Career Award from the I EEE Industrial Electronics Society\, the 2022 Leon-Nicolas Brillouin Award from SEE France\, and the 2022 Sustainable Future Visionary Award from Ty phoon HIL company. In 2021\, Prof. Gao was appointed a Distinguished Lectu rer of the IEEE Industry Applications Society. He currently serves as the Editor-in-Chief of IEEE Industrial Electronics Technology News\, the Deput y Editor-in-Chief of IEEE Transactions on Transportation Electrification\, and holds leadership roles in various IEEE societies\, including Chair of the Award Committee and of the Constitution & Bylaws Committee of the IEE E Transportation Electrification Council\, Vice-Chair of the Technical Com mittee on Electrified Transportation Systems of the IEEE Power Electronics Society\, and Vice-Chair of the Industrial Automation and Control Committ ee of the IEEE Industry Applications Society.\n\nSUMMARY: Digital Twin (DT ) technology has emerged as a powerful paradigm to bridge the gap between physical systems and their virtual counterparts by enabling real-time moni toring\, prediction\, and optimization based on high-fidelity simulations and real-world data. In the context of hydrogen energy systems\, particula rly Proton Exchange Membrane Fuel Cells (PEMFCs)\, DTs offer promising cap abilities to improve performance\, enhance reliability\, and reduce develo pment costs. However\, the development of robust and efficient digital twi ns for fuel cells remains a complex and multidisciplinary challenge.\n\nTh is presentation provides an overview of the key modeling challenges involv ed in creating effective digital twins for hydrogen fuel cells. The highly coupled multi-physics nature of PEMFCs\, encompassing electrochemical rea ctions\, heat and mass transfer\, fluid dynamics\, and material degradatio n\, requires multi-domain and multi-scale modeling approaches. These model s should be capable of capturing both the rapid dynamics of system operati on and the slower processes associated with long-term degradation\, all wh ile respecting the computational constraints of real-time execution.\n\nTh e presentation concludes with a reflection on future directions for the fi eld\, highlighting the need for continued innovation in modeling approache s\, numerical methods\, and system integration. Advancing these areas will be essential to fully realize the potential of digital twins as a critica l tool in the development of next-generation hydrogen energy systems.\n\nR oom: Timmanzaal LB01.170\, Bldg: Building No. 36\, Mekelweg 4\, Delft\, Zu id-Holland\, Netherlands\, 2628 CD LOCATION:Room: Timmanzaal LB01.170\, Bldg: Building No. 36\, Mekelweg 4\, D elft\, Zuid-Holland\, Netherlands\, 2628 CD ORGANIZER:z.qin-2@tudelft.nl SEQUENCE:28 SUMMARY:Hydrogen fuel cell digital twins challenges from a modeling perspec tive URL;VALUE=URI:https://events.vtools.ieee.org/m/534746 X-ALT-DESC:Description: <br /><p class="MsoNormal"><span style="font-family : helvetica\, arial\, sans-serif\;"><strong>--Technical Webinar Series by IEEE Benelux Transportation Electrification Council Chapter--</strong></sp an></p>\n<p class="MsoNormal"><span style="font-family: helvetica\, arial\ , sans-serif\;"><strong>Topic: </strong><span style="mso-fareast-font-fami ly: 'Times New Roman'\; color: black\;">Hydrogen fuel cell digital twins c hallenges from a modeling perspective</span></span></p>\n<p class="MsoNorm al"><span style="font-family: helvetica\, arial\, sans-serif\;"><strong>Sp eaker: Prof<span lang="EN-US">. Fei Gao\, IEEE Fellow\, UTBM\, France</spa n></strong></span></p>\n<p class="MsoNormal"><span lang="EN-GB" style="fon t-family: helvetica\, arial\, sans-serif\;"><img src="https://events.vtool s.ieee.org/vtools_ui/media/display/dc77f117-840a-4c3d-9fc5-f83d82166b61" a lt="" width="187" height="233"></span></p>\n<p class="MsoNormal"><span sty le="font-family: helvetica\, arial\, sans-serif\;"><span lang="EN-GB"><str ong>Bio:</strong> </span><span style="mso-fareast-font-family: 'Times New Roman'\; color: black\;">Prof. Fei Gao serves as the Executive Director of Research\, Doctoral Studies\, and Innovation at the University of Technol ogy of Belfort-Montb&eacute\;liard (UTBM) and is also a Full Professor at the School of Energy and Computer Science at UTBM\, France. He earned his PhD in Renewable Energy from UTBM in 2010\, receiving the Distinguished Yo uth Doctor Award. Prof. Gao specializes in hydrogen fuel cells for transpo rtation and digital twin technology in modern power electronics and energy systems. He is a Fellow of both IEEE and IET. His academic contributions include authoring or co-authoring 3 books\, 4 book chapters\, and over 200 technical publications\, with over 130 published in international journal s. He received the 2020 IEEE J. David Irwin Early Career Award from the IE EE Industrial Electronics Society\, the 2022 Leon-Nicolas Brillouin Award from SEE France\, and the 2022 Sustainable Future Visionary Award from Typ hoon HIL company. In 2021\, Prof. Gao was appointed a Distinguished Lectur er of the IEEE Industry Applications Society. He currently serves as the E ditor-in-Chief of IEEE Industrial Electronics Technology News\, the Deputy Editor-in-Chief of IEEE Transactions on Transportation Electrification\, and holds leadership roles in various IEEE societies\, including Chair of the Award Committee and of the Constitution &amp\; Bylaws Committee of the IEEE Transportation Electrification Council\, Vice-Chair of the Technical Committee on Electrified Transportation Systems of the IEEE Power Electro nics Society\, and Vice-Chair of the Industrial Automation and Control Com mittee of the IEEE Industry Applications Society.</span></span></p>\n<p cl ass="MsoNormal"><span style="font-family: helvetica\, arial\, sans-serif\; "><strong><span lang="EN-GB">SUMMARY</span></strong><span lang="EN-GB">: < /span><span style="mso-fareast-font-family: 'Times New Roman'\; color: bla ck\;">Digital Twin (DT) technology has emerged as a powerful paradigm to b ridge the gap between physical systems and their virtual counterparts by e nabling real-time monitoring\, prediction\, and optimization based on high -fidelity simulations and real-world data. In the context of hydrogen ener gy systems\, particularly Proton Exchange Membrane Fuel Cells (PEMFCs)\, D Ts offer promising capabilities to improve performance\, enhance reliabili ty\, and reduce development costs. However\, the development of robust and efficient digital twins for fuel cells remains a complex and multidiscipl inary challenge.</span></span></p>\n<p class="MsoNormal"><span style="colo r: black\; font-family: helvetica\, arial\, sans-serif\;">This presentatio n provides an overview of the key modeling challenges involved in creating effective digital twins for hydrogen fuel cells. The highly coupled multi -physics nature of PEMFCs\, encompassing electrochemical reactions\, heat and mass transfer\, fluid dynamics\, and material degradation\, requires m ulti-domain and multi-scale modeling approaches. These models should be ca pable of capturing both the rapid dynamics of system operation and the slo wer processes associated with long-term degradation\, all while respecting the computational constraints of real-time execution.&nbsp\;</span></p>\n <p class="MsoNormal"><span style="color: black\; font-family: helvetica\, arial\, sans-serif\;">The presentation concludes with a reflection on futu re directions for the field\, highlighting the need for continued innovati on in modeling approaches\, numerical methods\, and system integration. Ad vancing these areas will be essential to fully realize the potential of di gital twins as a critical tool in the development of next-generation hydro gen energy systems.</span></p> END:VEVENT END:VCALENDAR