LEVERAGING SOLAR AND WIND PPAs

Hybrid colocation and hyperscale data center provider QTS Realty Trust, has just announced that another four of its data centers are now powered by renewable energy.

The four data centers include QTS Hillsboro, QTS Fort Worth, QTS Eemshaven, Netherlands and QTS Richmond. These green facilities join four other QTS renewable powered data centers located in Irving, Texas, Chicago, Illinois, Piscataway, New Jersey and Groningen, Netherlands.

With this latest development, approximately 36% of QTS’ global data center power requirements are now sourced from renewable energy, further supporting the company’s commitment to procure 100% of the power required for all of its data centers from renewable sources by 2025.

“Today’s announcement is another significant step towards our goal of procuring 100% of our power from renewable energy sources by 2025. Renewable energy is a cornerstone of our ESG program that documents our commitment to minimizing our carbon footprint through advanced development and procurement initiatives,” said Travis Wright, Vice President Energy and Sustainability, QTS.

The procurement of renewable energy for the latest four green facilities was achieved through a variety of solar and wind power purchasing agreements (PPAs).

For QTS Hillsboro, the company purchased renewable energy certificates equal to at least the expected electricity needs of the facility from Three Peaks Power, LLC solar facility in Utah through Calpine Energy Solutions.

To power the Fort Worth data center, QTS stated that it acquired renewable energy from a provider in Texas equal to 100% of the projected power consumption of the facility while for QTS Eemshaven, the company purchased environmental attributes from Dutch wind and Nordic hydro sources.

QTS Richmond data center joined the green portfolio through the procurement of renewable power by the company from Calpine Energy Solutions, LLC upon the signing of a multi-year agreement to purchase renewable energy certificates equal to the majority of the expected electricity needs of the facility.