IEA PVPS Task 16 - Firm PV Power
In this webinar, the speakers investigate whether photovoltaics (PV) can effectively and economically contribute to a massively renewable energy (RE) power generation future for different regions. The speakers determine the optimum PV/battery configurations that can meet the country’s electrical demand firmly 24x365 at the least possible cost. The result of the modelling is the optimum between overbuilding and curtailment of PV. The analyses shows that firm PV power is an enabler of the energy transition and can ease the energy trilemma – regarding security of supply, sustainability and affordability. The speakers will present results for Switzerland, California and different TSO zones in the USA.
The webinar will welcome the following presenters:
- Richard Perez, SUNY (USA)
- Jan Remund, Meteotest (Switzerland)
- Marc Perez, Cleanpower Res. (USA)
- Patricia Hidalgo-Gonzalez, UC San Diego (USA)
The webinar will be moderated by ISES Immediate President Dr. Dave Renné.
The duration of the webinar is 90 minutes and the webinar will include a Q/A session for the audience to ask their questions to the presenters. The recording of the webinar as well as the presentations given will be made available to ISES Members after the webinar.
Dave Renné - Moderator
David Renné served as President of the International Solar Energy Society from 2010 - 2019 and now holds the position of ISES Immediate Past President on the ISES Executive Committee. From 1991 until his retirement in 2012, Dave managed the solar resource assessment activities at the U.S. National Renewable Energy Laboratory (NREL). In 2012 he formed the consultancy Dave Renne Renewables. He is dedicated to the concept of urgently achieving 100% renewable energy to meet all of our end use energy requirements as the best solution to the climate crisis.
Jan Remund has a background of Geography and Climatology and works since more than 20 years at the SME Meteotest in Berne, Switzerland. He is the project lead of global solar radiation database Meteonorm and the operating agent of the IEA PVPS Task 16 since 2017.
Marc Perez is Lead Researcher at Clean Power Research in California. He is a trained scientist with 20 years of experience in the solar PV sector across multiple roles: C&I development, academia, corporate research and software development. Marc holds his PhD, M.S. and M.Phil in Earth & Environmental Engineering from Columbia University in New York where he was a National Science Foundation Graduate Research Fellow, Egleston Doctoral Scholar and was awarded the Star fellowship from the Environmental Protection Agency. He holds a B.S. in Optical Engineering and a B.A. in Physics from the University of Rochester. At Clean Power Research, he manages science and research in the areas of high penetration solar, solar potential assessment using remote sensing data, solar forecasting, PV spec inference, DER adoption and other domains.
Richard Perez leads solar energy research at University at Albany’s Atmospheric Sciences Research Center. He sits on the Advisory Board of the George Washington University’s Solar Institute, and has served multiple terms on the board of the American Solar Energy Society and as associate editor of Solar Energy Journal. He has produced over 250 journal articles, book chapters and conference papers. He holds US patents on energy storage, and load management using photovoltaics.
Professor Hidalgo-Gonzalez directs the Renewable Energy and Advanced Mathematics (REAM) lab which focuses on high penetration of renewable energy using optimization, control theory and machine learning. Dr. Hidalgo-Gonzalez co-developed a stochastic power system expansion model to study the Western North America’s grid under climate change uncertainty. She is currently working with the California Energy Commission to understand the value and role of long-duration energy storage. She is also supported by the U.S. Department of Energy to study the value of wave energy and offshore wind for the U.S. power grid. In addition to capacity expansion modeling, she works on power dynamics with low and variable inertia, and controller design using machine learning and safety guarantees. She is generally interested in power dynamics, electricity market redesign to aid the integration of renewable energy, microgrids for wildfire risk mitigation, distributed control, and learning for dynamical systems with safety guarantees. Dr. Hidalgo-Gonzalez is part of the IEEE Power & Energy Society Task Force titled “Data-Driven Controls for Distributed Systems.” She holds two M.S. and a Ph.D. from UC Berkeley.
Professor Hidalgo-Gonzalez will present on the value of long-duration energy storage and its interaction with a zero-emissions electricity grid.