Using Key Performance Indicators to Monitor Critical HVAC Operations

Ian Bonadeo, Hawkeye Energy Solutions

KPIs (key performance Iindicators) are used extensively in all industries to track a group's progress to certain goals. By understanding the quantitative measures that mark a goal's success, a KPI provides an instantaneous and relative marker of any initiative.

As more facilities are being automated by a BMS, operational data is becoming more available. Unfortunately, this data is overly noisy and it is typically very difficult for a user to quickly understand the state of the system. There is not enough time for a user to sift through these graphics pages to understand each piece of equipment. In this space of too much data and too many decisions, a reactive type of management develops where HVAC equipment is serviced only when it breaks. Equipment can be running out of sequence for weeks or even years before being corrected, if at all.

By taking the main deliverables of each piece of equipment and calculating a KPI, the relative performance of an asset can be monitored with a single "health" value. When a KPI begins to drop, this can signal that a piece of equipment needs a further look. If a KPI stays normal, it can mean that reviewing a certain piece of equipment is less of a priority.

This presentation will define what a KPI is, explain how O&M teams can use KPIs to continuously monitor critical operations, and give some examples of when KPIs helped identify issues for a high-containment laboratory.

Learning Objectives

  • Describe what a KPI is;
  • Explain how KPIs can effectively change O&M practices;
  • Understand how KPIs can catch emergencies before they happen; and
  • Explain how KPI Reporting can provide meaningful data to communicate with decision makers.

Biography:

Ian Bonadeo is a Project Engineer at Hawkeye Energy Solutions, a team of engineers that provide consulting, metering and controls, and data analytic services. Ian focuses on systems integration and the deployment of data analytics to solve complex problems.

 

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