How Big Data, the IoT, and Analytics are Changing Monitoring & Verification Practices and Results
Utilizing data from building automation systems, sensors and equipment has been proven as an important tool to reduce energy costs, enhance operational efficiency and support Monitoring Based Commissioning (MBCx). Data analytics tools apply rules and algorithms to building system data to identify patterns that represent issues, faults, deviations, and trends, all of which present opportunities for savings and improved performance.
Engineering professionals involved in commissioning, energy analysis, energy management and Monitoring and Verification have found data analytics software to be a powerful tool that enables them to transform the services to their clients. Data Analytics software allows them to automate the analysis and reporting work that has traditionally required continuous manual effort, and provide clients with new, ongoing consultation-based service offerings to help continuously improve facility performance and eliminate the backwards-drift seen in many energy conservation projects.
This presentation will provide specific examples demonstrating how analytics software can be applied to commissioning and M&V processes and the role analytics plays in delivering significant financial results by helping owners and operators make energy and operational efficiency improvements permanent.
Presented ByJohn D. Petze
John Petze is a partner and Co-Founder at SkyFoundry, the developers of SkySpark™, an analytics platform for smart device and equipment data. John has over 30 years of experience in automation, energy management and M2M/IoT, having served in senior level positions for manufacturers of hardware and software products including: President & CEO of Tridium, VP Product Development for Andover Controls, and Global Director of Sales for Cisco Systems Smart and Connected Buildings group and is a member of the Association of Energy Engineers. He is the Executive Director of Project-Haystack.org, an open source, 501C trade association focusing on standards and technology to make device data self-describing to enable software applications to automatically consume, interpret, analyze and present data from devices and equipment systems thereby unlocking the value of the data.