Biofuels. Chris Somerville is Philomathia Professor of Alternative Energy in the Department of Plant and Microbial Biology at UC Berkeley, and Director of the Energy Biosciences Institute at UC Berkeley, which was founded with the single largest grant in university history, worldwide.

Tuesdays, Noon-1:30 p.m., November 3.
David Brower Center, 2150 Allston Way

This is part of a seminar series: Strategic Issues in Energy Resources and Politics (October 6 to November 10)
Flyer

Power Grid. Mason Willrich is a senior advisor to the MIT Energy Innovation Project and Chair of the California Independent Service Operators Board of Governors. He is an expert on U.S. energy infrastructure and a clean energy venture capitalist.

Tuesdays, Noon-1:30 p.m., October 27.
David Brower Center, 2150 Allston Way

This is part of a seminar series: Strategic Issues in Energy Resources and Politics (October 6 to November 10)
Flyer

Nuclear Energy. Per Peterson is a Professor and former Chair of Nuclear Engineering at UC Berkeley, and manages the UC Berkeley Thermal Hydraulics Research Laboratory. He is an expert on fission and fusion.

Tuesdays, Noon-1:30 p.m., October 20.
David Brower Center, 2150 Allston Way

This is part of a seminar series: Strategic Issues in Energy Resources and Politics ( October 6 to November 10)
Flyer

Energy Economics. Severin Borenstein is the E.T. Grether Professor of Business and Public Policy at UC Berkeley’s Haas School of Business, and Director of the UC Energy Institute. He is a leading expert on the energy economy.

Tuesdays, Noon-1:30 p.m., October 6.
David Brower Center, 2150 Allston Way

This is part of a seminar series: Strategic Issues in Energy Resources and Politics (October 6 to November 10)
Flyer

Switch-WECC

Planning low-cost, low-carbon power system investments using the Switch optimization model

With Switch (a loose acronym for Solar, Wind, Hydro and Conventional generators and Transmission), we can explore generation, transmission, and storage options for the future electricity grid. The model identifies cost-effective investment decisions for meeting future electricity demand, taking into account the existing grid as well as projections of future technological developments, renewable energy potential, fuel costs, and public policy.