Similar to other domains, data from buildings is being generated at an unprecedented pace and scale. However, all of that data is useless if we can’t extract meaning to create value and yield actionable insights. This requires the utilization of protocols or standards to effectively make sense of the data. Project Haystack is one such standard that has been developed over the past several years and allows for the contextual tagging of data in a flexible way, using data from any number of sources.
In one of Cx Associates’ latest blog posts, Energy Metering Devices: What’s New, Katie Mason describes data loggers (aka energy metering devices) used in the industry to diagnose building system issues and calculate energy consumption. This data collection technology has come of age in that the loggers themselves are not outrageously expensive and modeling software has developed into a strong analysis tool. For a building owner, this means data loggers can clearly diagnose where equipment is operating poorly, triggering increased energy and maintenance costs. Data loggers are also instrumental to managers of local, state or regional energy efficiency programs in order to accurately calculate energy savings attributable to efficiency improvements. Let's look in more detail at these two applications of the new energy metering technologies.