Sourcing Renewables | Page 146

Smart Energy Decisions will lead off its 2021 slate of events with the Virtual Innovation Summit, set for March 8-12, 2021. The fifth edition of the industry’s premier event will once again bring together energy, sustainability and facility man

Cisco announced Dec. 10 that it officially achieved 100% renewable energy for its U.S. operations during this fiscal year.

Clemson University is teaming up with Siemens Energy and Duke Energy on a federally-funded research project looking into the use of hydrogen for energy storage and low- to no-carbon fuel.

In this episode of Smart Energy Voices, Rob Collier, Vice President of Developer Relations at LevelTen Energy, provides his five predictions for the Corporate Renewable Energy Market for 2021. Among the topics discussed is the impact a move toward social justice in renewables will have on diversity and inclusion in the industry, the increased number of companies committing to reducing Scope 3 emissions, and how the need for speed will drive innovation.

Smithfield Foods announced Dec. 9 its first renewable natural gas project through a joint venture with Dominion Energy in southwestern Utah.

Tractor Supply Company announced Dec. 10 that it has executed a contract to supply 100% renewable energy to its more than 30 store facilities in Virginia through a three-year power agreement.

Starbucks announced Dec. 9 that it has entered into an agreement to virtually procure 5.5 MW of battery storage capacity and 24 MW of solar energy in a first-of-its-kind corporate financial agreement for utility-scale storage.

Amazon announced Dec. 10 a list of 26 new utility-scale wind and solar projects totalling 3.4 GW, making it the largest corporate purchaser of renewable energy.

McDonald's reported Dec. 7 that it used 2020 to increase its investment in renewable energy generation and will be halfway to its emissions reduction goal once its new projects come online.

As Google pursues its new 24/7 clean energy goal, the tech company released its plans to design a machine learning platform that aligns its operations with the availability of renewable energy resources on the grid.