“The measurement of energy savings is problematic at best,” states Program Manager Jorge Moreno, Environmental & Building Technologies at Frost & Sullivan. “Relying on static building models developed by designers as a means of measuring efficiency is proving to be an issue because they simply aren’t accurate enough. Designers lack the foresight in terms of how a building will be operated once constructed. There must be a new understanding of how the myriad of operating variables dramatically affect energy use. SCIenergy represents an entirely new approach that overcomes the inaccuracy of conventional energy models by providing ongoing and highly accurate real-time assessment of a building’s systems performance.”

SCIenergy is based on a methodology that has been tested on numerous types of buildings including office, retail, institutional, industrial and healthcare facilities, each of which have unique operating conditions. In many cases, the accuracy of the projections of monthly energy use was as high as 99%. SCIenergy combines fuzzy logic and artificial intelligence neural network technologies to find relationships between complex operations variables and building usage patterns. All of this technology is completely transparent to facility operators.

SCIenergy provides the following benefits: Accurate energy and greenhouse gas baselines with no on-site energy audits or complex facility modeling, using existing energy bills; Accurate measurement of energy savings and its associated greenhouse gas reduction; and a methodology to create independently certified carbon credits.

“Typical statistical models and building simulations are lucky to be within plus-or minus 15%,” said John Pitcher, chief operating officer and founder of Scientific Conservation. “SCIenergy on the other hand is achieving dramatic results by correlating predicted energy baselines within one-to-two percent of actual usage. As a result, we’re providing an energy savings methodology that is extremely well positioned to provide accurate measurements of carbon reduction and by extension, cap and trade of carbon credits.”