Track M | Big Data and IoT
Intelligent energy management platforms can deliver on the promise of IoT devices within buildings and create responsive built environments by combining data capture analysis, advanced modeling, measurement and verification, and closed-loop predictive control. On an individual building level, the intelligent management platform can interpret various data streams to provide actionable information that to be used to optimize energy usage or implement fully-automated, closed loop control of a building. On top of this, the platform can help detect system anomalies, such as the practice of simultaneous heating and cooling.
The technology is also scalable, with the ability to be applied to a portfolio of buildings or a city. In fact, this is one of the strategies that the City of D.C. has embraced to cut gas emissions and energy consumption in half by 2032. Since this technology can be used in buildings of any age, it can easily be leveraged to create a networked grid within a city that connects a power supplier to its customers – providing the two-way communication and infrastructure necessary for automated demand response programs.
This presentation will detail how a cloud-based, intelligent energy management platform has created an Internet of Things (IoT) solution for the City of D. C. A deep dive will be taken into the data generated from this project. The presenter will also provide insight into how this data can be interpreted to create opportunities for savings and identify irregularities within a building’s HVAC system. By the end, attendees will be better equipped to interpret building data and have a clear view into how the technology gets results.
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