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Aquicore has launched a new “optimal start time” tool for its existing platform. This new tool enables buildings to quickly save on operating costs without affecting tenant comfort.
On average, commercial buildings account for nearly 20 percent of all the energy used in the U.S., and as much as 30 percent of that energy is wasted, according to the U.S. Energy Information Administration. Aquicore is working with its customers across the country to reduce the single most important source of carbon emissions on the planet. Aquicore’s software equips asset and property managers with the data they need to make faster, more informed financial and operational decisions based on key performance indicators for utilities, equipment use, environmental conditions and more.
“Aquicore is all about empowering building teams through tools that help them do their jobs better,” said Mike Donovan, vice president of product at Aquicore. “Unlike other market solutions, our approach utilizes machine learning techniques to deliver accurate start times without the need to install expensive equipment. By incorporating factors like utility tariffs and lease schedules, our suggestions are trusted by the best engineers out there.”
The optimal start time tool utilizes a complex algorithm to develop it suggestions, factoring in outdoor temperature, equipment efficiency, insulation levels, utility tariff schedules and lease hours. The tool’s suggestions are then delivered to users on a daily basis with plenty of time to take action. The tool also requests input from users to better train and enhance the algorithm for the future.
“Aquicore is a new kind of software platform for the real estate industry, founded on the principle that simple and intuitive tools in the right hands can help create both a fiscally and environmentally sustainable future,” said Logan Soya, CEO and founder of Aquicore.
With more than 1,000 installations nationwide, Aquicore services more than 146 million square feet of real estate space across the U.S., working with over 700 commercial buildings owned or managed by 80 institutional clients.