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Building-to-Grid (B2G) Cory Hall Testbed

Project Description   downloadable as a pdf file.

Final report Building-to-Grid (B2G) Technology Evaluation and Roadmap  (links to all elements of project documentation)

                                                                                      (Click image below for slides from final presentation)

Smart Grid (SG) initiatives in California are intended to enable policy-driven objectives such as (1) the
integration of up to 33% of generation coming from central & local renewable sources; (2) the reduction of GHG emissions to below 1990 levels; (3) the creation of zero net-energy facilities by 2020 & 2030; etc. 


Energy efficiency and demand response policy objectives have already led to CPUC approvals for (1) IOU
investments in AMI (Advanced Metering Infrastructure) and (2) opt-out time-differentiated electricity pricing
for consumers enabled with AMI meters.  In addition, the CAISO has recently released version 1.0 of its MRTU
(Market Redesign and Technology Upgrade) which is intended to be the first step towards statewide LMP (Location
-based Marginal Pricing).
 
To inform and support state policy objectives, research is required to build and test models (soft and hard)
that can evaluate specific SG strategies.  This project, "Building-to-Grid (B2G) Cory Hall Testbed", is
designed to take an initial step toward having a large facility testbed with commercial and industrial loads
that can provide detailed load information to the grid (subject to privacy constraints) for the purpose of
facilitating better grid management.  In addition, the B2G Cory Hall testbed will be able to address the top
two priorities in the loading order (energy efficiency and demand response).  The testbed is meant to
facilitate subsequent research that can explore a variety of new strategies to operate large facilities more
efficiently at all times and provide a limit to demand at times of grid stress.

As a temporary site for accessing data from meters installed in the first phase of this project, please see:

http://local.cs.berkeley.edu/smap/