Auburn Univ. to Use Infometrics (Analytika) to Reduce Energy Consumption
November 12, 2007
Auburn University in Auburn, Alabama is the newest campus choosing to reduce energy consumption with the help of the Infometrics ongoing commissioning service. Ongoing commissioning is the process of monitoring and optimizing building systems 24/7/365 to ensure that they are working at peak efficiency. Without installing costly new equipment, Auburn expects to reduce inefficiencies in existing HVAC equipment, a strategy which will cut energy consumption and CO2 emissions on campus. Infometrics will enable the "greening" of complex research buildings and allow the university to streamline maintenance, detect hidden faults and inefficiencies and manage systems proactively to avoid catastrophic failures. Energy cost savings are expected to provide a quick payback, allowing the university to devote more resources to academic initiatives.
Cutting-Edge Technology For Remote Ongoing Commissioning
Infometrics (now Analytika) is the leading service for remote monitoring and ongoing commissioning of building systems. An Infometrics program provides powerful algorithm-based analysis of continuously collected building automation data. Valuable unbiased periodic reports enable clients to optimize efficiency and comfort, lower maintenance costs, and effectively manage facility staff and contractors while reducing energy consumption.
Infometrics Reduces Energy Use, Maintenance Costs and CO2 Emissions
Infometrics (now Analytika) recommendations optimize mechanical and operational efficiency, catching potential problems before they become noticeable and keeping systems running smoothly and efficiently. The information provided enables proactive rather than reactive system maintenance, minimizing costly downtime and extending equipment life. Using secure Internet transmission, Infometrics can upload and analyze the performance of multiple vendors' equipment, anywhere in the world. And Infometrics reports can quantify CO2 emissions reductions and calculate the annual energy cost of each problem.
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