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Data Analytics


  • 7.1 Overview
  • 7.2 Issues and Concerns in Implementing FDD
  • 7.3 Guest Industry Experts
  • 7.4 Case Study: Microsoft Redmond Campus

Astute facility managers try to extract data from building systems and transform that data into actionable information in order to better manage their building. To most, actionable information means trending the data to observe patterns and exceptions or producing enterprise reports on energy or alarms. What has emerged over the last several years, however, are software analytic applications for building systems, allowing for deeper and more detailed analysis. The basis for many of these software applications is fault detection and diagnostics (FDD), a methodology developed by national research laboratories and relevant government agencies.

FDD has taken actionable information and system intelligence to a new level. There are now a number of credible companies in the marketplace that offer FDD-based tools with case studies of implementations that resulted in optimal system performance, energy savings, and improved operations. For those that understand the return on investment from commissioning building systems and (given the normal degradation of the performance of a HVAC system) FDD-based software tools, FDD becomes a real-time continuous commissioning operational tool. What follows are a description of FDD and some issues in utilizing FDD software tools.

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