How AI-Driven Energy Storage Will Help One California Real Estate Company


Stem, Inc., an energy storage optimization company, was chosen by Kilroy Realty Corporation (KRC) to deploy over 7.5 MWh of artificial intelligence (AI)-driven energy storage at eight commercial buildings in KRC’s California portfolio. The selection was facilitated by Black Bear Energy Inc., who acted as the owner’s representative for Kilroy Realty.

Stem will install its AthenaTM-powered storage in 2018 at four KRC office buildings in San Francisco and another four in Los Angeles, representing approximately 20% of KRC’s stabilized office portfolio. The KRC systems, which utilize a uniquely-tailored financial structure for real estate firms, will join the world’s largest digitally-connected storage network. This network uses the systems when idle to support strained local grids and enable higher penetrations of clean power in the community.

“Intelligent energy storage helps reduce the environmental footprint of our building operations,” said Sara Neff, senior vice president of sustainability at KRC. “Black Bear’s expertise with clean energy and Stem’s AI-powered solution will help us achieve our environmental goals while helping to modernize the grid, which is a natural alignment with our business vision.”

“When it comes to real estate and energy storage for commercial buildings, it’s the brains behind the batteries that differentiate solutions,” said John Carrington, CEO of Stem.

“KRC was recently named the North American office leader in sustainability by the Global ESG Benchmark for Real Assets for the fourth time and was added to the Dow Jones Sustainability World Index – one of only three American real estate companies named to the DJSI World Index in 2017,” commented Drew Torbin, Black Bear Energy’s CEO. “We enjoy bringing good companies together. The energy superintelligence that Stem brings is a great fit for KRC.”




The 3rd Annual Environmental Leader & Energy Manager Conference takes place May 15 – 17, 2018 in Denver. Learn more here.


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