The buildings where we live, work, and play are getting smarter. Even our refrigerators can tell us if we need to buy more cheese while we are at the grocery store. But that’s not what this episode is about. Mostly not.

Today we are talking to David Unger, Founder of Sentient Buildings and an expert in the strategic implementation of IoT technologies that help to create smarter buildings. In an era of data overload, David discusses how his work aims to consolidate and simplify access to information that can improve the efficiency, comfort, and operations of buildings. He also explains why leveraging open communication protocols is the most critical piece to future-proofing your smart building.  (more…)

According to the Institute for Market Transformation, fourteen cities, two states, and one county in the U.S. now have energy benchmarking and transparency policies in place for large buildings. This means that continually more cities and jurisdictions will have an understanding of how their buildings perform. It also means that these policies and their outcomes can be compared against each other and ultimately improved.

 

With these improvements in the policy landscape impacting the built environment, the question was asked: How can the data be analyzed, and what impacts do the policies themselves have on building energy usage, greenhouse gas emissions, and the local economies?

At the end of May the Department of Energy (DOE) published the DOE Benchmarking & Transparency Policy and Program Impact Evaluation Handbook, which provides “cost-effective, standardized analytic methods for determining gross and net energy reduction, greenhouse gas (GHG) emissions mitigation, job creation and economic growth impacts” for jurisdictions that operate benchmarking policies.

Also released in May was the New York City Benchmarking and Transparency Policy Impact Evaluation Report which utilized real NYC data using the same methodologies.

SWA worked with the Navigant Consulting and DOE teams to review data from two jurisdictions and develop methodologies for analysis.

The general findings of the research team were: (more…)