Orange County Office Space Uses Data Analytics to Lower OPEX $45,933

Proactive engineering and management team lowers peak demand charges and improves early morning start-up sequencing across two building, class-A, office campus.

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Industry Commercial Real Estate
Property Details 255,000 SF of office space in South Orange County
Challenges Managing early morning start-up and peak demand charges is complex in class-A office located in hot, and sometimes humid southern California
Solution Snapmeter for automated load curve monitoring and peak demand forecasting and Billcast for utility bill monitoring and savings verification
Why Gridium
  • Automatic data collection from utility means no hardware in the building, nor any BMS integration delays
  • Peak demand forecasts and anomalous use alerts emailed to engineering team every Monday morning: web-based dashboard means monitoring from anywhere
  • Automated utility bill analytics, budget forecasts, variance reporting across weather, rate, billing period length, and operations

Shaded light blue area shows improvement in peak demand charges and hard starts.

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.

Joel Geiser, Chief Engineer, used these analytics as a new lens on what had historically been a month by month, utility bill-oriented, view of the facts on the ground. The cause of high peak demand charges had been obscured on the monthly bill. Equipped with easy to use analytics, Joel and his team were also able to diagnose start-up as the cause high demand charges and lower these charges, saving $45,933.

The Gridium software was easy to launch and it was exciting to see it help me and my team diagnose and lower our peak demand charges, as well as help my BMS contractor improve scripts addressing early morning start-ups and other hard start patterns.

Joel Geiser, Chief Engineer