The most recent startup focused on energy efficiency to connect with venture funding is
Building optimization may sound like an esoteric industry to go after, but there are some 1.7 million large buildings with computerized systems that maintain air conditioning, lighting and other building resources, according to SCI CEO Russ McMeekin, who says that many of those systems are not running the buildings as efficiently as they might. This is something that he says SCI says it can help with.
The startup downloads data from the control system, synchs it with building plans and then runs the data through software to determine where the system may be failing. It prepares a report for its customers, including an estimate of how much money they’re losing each year from the problems uncovers.
Customers that have used SCI software to save money from powering their large business include Boeing, Hardees, Intel, NASA and Neiman Marcus.
One of the company’s early customers was Santa Clara County, located in Silicon Valley. The county government plugged the SCI system into its control system and used it to monitor power usage at one of its large office buildings for two weeks. SCI helped the building administrators discover some points of system failure.
“These [SCI’s] complex set of monitoring capabilities enable us to achieve significant energy efficiency which translate into monetary savings,” says Lin Ortega, county engineer.
SCI determined the county could save $126,000 per year in the one office building it analyzed by improving a part of the air conditioning system that was malfunctioning.
The technology behind SCI’s service was initially developed to work on extremely complex government projects, such as testing the o-rings on the space shuttle. Later, the same diagnostic methodology extended into the physics of multi-billion dollar power production facilities, McMeekin says.
“Ten years ago, when I was a president of Honeywell, it was inconceivable that a manager would care about the energy usage of his area,” McMeekin says. “It’s no longer the producers who care about the efficiency of energy production. It’s also the consumers who care about consumption.”
Part of the reason managers might not have considered such an energy efficiency analysis previously was the high cost. The process requires heavy computing. SCI uses a neural network based in Atlanta to run its computations, a system that would cost several thousand dollars years ago. But thanks to cheaper computing power, SCI can make the analysis much more cost-effective for smaller operations.
McMeekin joined SCI as part of the company’s financing agreement. He has had a long relationship with Draper Fisher Jurvetson and previously worked with the firm to evaluate potential investments. He describes the process as “kissing a lot of frogs to find princes in the Cleantech space.”
“We wanted to make sure it fit all the criteria of a 10x return before I stepped in to run it,” McMeekin says of the startup.
Part of McMeekin’s plan at SCI is to expand SCI’s offerings to improve data center operations. Large datacenters are notorious electrical power hogs and require carefully tuned cooling systems to keep them running at their optimum efficiency.
As cutting edge as SCI is, the company faces competition from other venture-backed startups. Philadelphia-based RealWinWin is also working to optimize building operations. It has raised $3.6 million from
Costa Mesa, Calif.-based Energy and Power Solutions Corp. (a.k.a. EPS Corp.), which filed for an IPO last week, has raised $50 million from