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Micro Level Data Analysis in Continuous Commissioning®: A Case Study
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The overall efficiency of the Continuous Commissioning (CC) process relies on the interactions of the commissioning team, the building owner, and the building operators. At times the process may be hindered by the traditional "open loop" approach of planning, implementing, and presenting commissioning measures, then waiting for results based on analysis and availability of whole-building utility data. One way of closing this loop and providing instantaneous feedback to all parties is through "micro" level data analysis to evaluate individual measures. This paper presents a case study of a CC project at Anderson High School in Austin, Texas. Measures for optimizing air and hydronic systems were implemented. Concurrently, building automation system trend data relevant to each measure were analyzed. Results of this analysis helped to improve response times for the commissioning team, reassure savings potential for the building owner, and instill confidence in proper equipment function for the building operators. These effects all in turn improved the CC process efficiency, which was validated by the whole-building savings results following completion. Through six months, post-CC utility bills show an estimated utility savings of $39,192 without sacrificing comfort, already exceeding pre-assessment projections for the entire year.
Khan, S.; Bible, M. (2012). Micro Level Data Analysis in Continuous Commissioning®: A Case Study. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from