LinkedIn Uses Data Analytics to Lower Carbon Emissions by 84t of CO2 and OpEx Costs by an Estimated $100,000
An expert building operations team deployed data analytics to uncover rate, use, and demand savings to be implemented over a 12-month period.
| Industry | Commercial Real Estate |
|---|---|
| Property Details |
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| Challenges | Managing the energy spend across a diverse collection of building types—with technology occupants who might turn up at all hours of the day or night—and with building vintages spanning from decades to just a few days is quite complex. |
| Solution | Gridium energy performance analytics for automated load curve monitoring and peak demand forecasting, utility bill monitoring including variance and rate analysis, and RCx for balance-point analysis, building-to-building comparisons, and heatmaps for instant daily load curve trend visualizations. |
| Why Gridium |
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The Challenge
How can a proactive operations and engineering team, responsible for nearly a million square feet of top-notch commercial office, manage electricity costs while simultaneously exceeding occupant comfort and safety expectations across a portfolio of diverse building environments? And on top of this, the team was responsible for LinkedIn’s move into a brand new downtown office tower.
The Solution
Gridium’s software for cloud-based smart meter data analytics does not require any hardware or software to be installed onsite. This made it easy to launch a free trial and immediately identify thousands of dollars worth of OPEX savings.
Gridium analyzed years of monthly bill data to uncover a handful of rate optimization opportunities, totaling nearly $50,000 (est.). Gridium’s automated baseload analytics helped the operations team achieve around $50,000 (est.) in savings from advanced baseload and demand management. Gridium’s weekly emailed load curve analytics also helped reduce sharp demand spikes, and smooth out certain Monday-morning hard starts. Optimal off hours operations dropped one building’s nightly baseload by 70 kW, and load curve analytics helped engineering staff identify and diagnose faulty VFDs.
The office environments here at LinkedIn are truly world-class. It’s with great pride that our engineering and operations teams work towards world-class building operations as well. The GHG reductions and tens of thousands of dollars of OPEX savings achieved with the help of Gridium analytics reflect this approach.