The opportunity to better manage real estate portfolios using powerful analytics is largely untapped by governments today. Many building owners and operators are not yet aware of how data-driven optimizations can reduce energy consumption. Buildings may be equipped with hundreds of sensors and controls, but many owners do not use this data holistically to optimize their infrastructure.

By applying analytics to make buildings energy-smart, companies can achieve substantial cost savings and significantly reduce environmental impact.

Building data has the potential to generate actionable insights into fault detection and diagnosis to enable timely and targeted interventions in cases of faulty or under-performing building equipment; alarm management to prioritize the many notifications generated by existing building systems and point engineers to the most impactful issues; and energy management through systematic tracking and optimization of building energy consumption and performance over time, while changing the behavior of building occupants with visual dashboards and benchmarks.

The cloud-based Energy-Smart Buildings white paper developed in collaboration with Accenture and the Lawrence Berkeley National Laboratory examines how building owners, operators, and occupants can achieve significant energy and cost savings through the use of smart building solutions.