Improving Building Energy Efficiency Using IoT-Driven Analytics

Speaker:  Arun Vishwanath – Melbourne, VIC, Australia
Topic(s):  Software Engineering and Programming

Abstract

The United Nations estimates that the buildings sector accounts for about 40% of global energy consumption. In commercial buildings, it is well known that the heating, ventilation and air conditioning (HVAC) systems consume anywhere between 40% and 70% of a building’s total energy demand. As a result, the building energy bills are often in the top-three list of an organisation’s operating expenses. Facility managers are coming under increasing pressure to improve the energy- and cost-footprints of their buildings.


In this talk, I will describe an application of Internet of Things (IoT) in the context of improving building energy efficiency. Using analytics on IoT sensor data -- obtained from a large commercial building located in a tropical region in Australia -- we show that intelligently cooling the building in advance of expected occupancy (aka pre-cooling) can result in reductions of up to 45% in peak power, 30% in energy consumption and 35% in overall energy bills. The methodology relies on minimal data requirements from IoT sensors housed in a building, can be extended to encompass buildings in different geographies, and has the potential for driving significant energy-cost reductions. 


The talk will also feature a demonstration of the pre-cooling service that we have deployed on IBM’s Bluemix platform to enable facility managers to take informed decisions for improving the energy- and cost-footprints of their buildings.


About this Lecture

Number of Slides:  20
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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