What is the greatest challenge when using building automation system (BAS) trend data for advanced energy analysis?

The greatest challenge when using building automation system (BAS) trend data for advanced energy analysis is ensuring data accuracy and completeness, as well as having the expertise to properly interpret the data and translate it into actionable insights. BAS trend data can provide valuable information about building energy consumption patterns, equipment performance, and system inefficiencies. However, the data is only useful if it is accurate and complete. Gaps in the data, sensor calibration errors, and incorrect data labels can all lead to inaccurate analysis and flawed conclusions. Furthermore, analyzing BAS trend data requires a deep understanding of building systems, HVAC principles, and statistical analysis techniques. It's not enough to simply look at the data; you need to be able to identify patterns, anomalies, and correlations that indicate potential problems. The expertise involves knowing what to look for, understanding the underlying causes of energy waste, and developing effective strategies for improving energy performance. Therefore, ensuring data quality and having the necessary analytical skills are critical for successfully using BAS trend data for advanced energy analysis. An example is when a temperature sensor is improperly calibrated, making the entire cooling analysis irrelevant.