COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Cambridge Society for the Application of Research (CSAR) > The CASSIOPeiA Solar Power Satellite: Dispatchable Green Energy from Space
The CASSIOPeiA Solar Power Satellite: Dispatchable Green Energy from SpaceAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact John Cook. For many years, Space-Based Solar Power has often been considered as science fiction – while remaining largely unknown as a real concept to the majority, even to those very familiar with other sources of renewable energy. Since the first detailed NASA /DoE reports from the late 1970’s and early 80’s, studies have repeatedly shown its technical feasibility and significant benefits, but at a historically prohibitive cost. The three greatest challenges facing humanity are climate change, sustainability and resource depletion – all having their roots in how we produce and distribute energy. Despite assurances that wind and terrestrial solar are cheaper than coal, oil and gas, we are still reliant on the ability of fossil fuels to supply as much power as we need, at the time and place where we need it. With the advent of new renewable launch vehicles, the CASSIO PeiA Solar Power Satellite leads the economic case for providing affordable, safe, clean, on-demand power to anywhere on (or off) our planet, at a timeframe and scale which could significantly contribute to the goal of net-zero. More details, including the Eventbrite link to book attendance or Zoom, are on the CSAR website. This talk is part of the Cambridge Society for the Application of Research (CSAR) series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsThe Leadership Masterclass series Biology and bioengineering tools in the treatment of H2020 age-related diseases Cancer Research UK Cambridge Institute - Invited speakersOther talksThe DNA revolution and psychology Machine learning: applications to cancer Gateway Formalising modular forms, Eisenstein series and the statement of the modularity conjecture in Lean MSD lecture: Abi Doyle Recent advances on preconditioning for BEM on complex geometries. |