Energy Internet and eVehicles Overview

Governments around the world are wrestling with the challenge of how to prepare society for inevitable climate change. To date most people have been focused on how to reduce Green House Gas emissions, but now there is growing recognition that regardless of what we do to mitigate against climate change the planet is going to be significantly warmer in the coming years with all the attendant problems of more frequent droughts, flooding, sever storms, etc. As such we need to invest in solutions that provide a more robust and resilient infrastructure to withstand this environmental onslaught especially for our electrical and telecommunications systems.

Linking renewable energy with high speed Internet using fiber to the home combined with eVehicles and dynamic charging where vehicle's batteries are charged as it travels along the road, may provide for a whole new "energy Internet" infrastructure for linking small distributed renewable energy sources to users that is far more robust and resilient to survive climate change than today's centralized command and control infrastructure. For more details please see:

Using eVehicles for Renewable Energy Transportation and Distribution: and

Free High Speed Internet to the Home or School Integrated with solar roof top:

High level architecture of Internet Networks to survive Climate Change:

Architecture and routing protocols for Energy Internet

Monday, September 2, 2013

Big Science and Sustainable Energy - Second annual workshop

I am pleased to see that CERN is hosting the second annual workshop on Big Science and Sustainable Energy at   Big science is a voracious consumer of energy.  A large part of this consumption is from the high performance computing requirements to process all the data generated by Big Science. Given the predicted fragility of the electrical grid due to increased adverse weather brought on by global warming, it is heartening to see some scientists and engineers looking at renewable energy, and alternate architectures for processing the data.