Douglas Emmett Deploys Advanced Utility Data Analytics to Lower OPEX

Weekly feedback helps the engineering and property management team–at southern California’s biggest landlord–collaborate and fine-tune operations across 45 buildings in their portfolio

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Douglas Emmett, Inc. (NYSE:DEI) is a premier provider of Class-A office properties and luxury apartment communities in Southern California and Honolulu.

Industry Commercial Real Estate
Property Details 45 Class-A buildings:

  • 9 million square feet
  • SCE & LADWP service territories
Challenges Aggressive OPEX savings goals require coordination and collaboration across 60+ person team. Scalable, easy-to-use tools with actionable reporting are needed.
Solution Gridium Snapmeter for automated load curve monitoring and peak demand forecasting, and Gridium Billcast for utility bill management and monthly bill variance analysis.
Why Gridium
  • Automatic data collection from utility means no hardware in buildings, nor any software programming for various BMS systems
  • Individual building reports emailed every Monday morning, with summary view of peak and usage alerts—and deeper analytics–available for entire portfolio online
  • Data-driven interpretation of weather, rate, calendar and operational factors causing monthly utility bill variance

The Challenge

Robert Lutes, Director of Engineering Services, was looking for a cost-effective solution—with a high ROI—to add analytics, reduce energy spend, and increase energy management capabilities within the portfolio. His team had refined operations and upgraded various mechanical systems, but knew there was still money to save with the help of automated energy analytics and additional calibration.

The Solution

Gridium’s Snapmeter and Billcast tools were deployed across 45 buildings in the portfolio, enabling Douglas Emmett to turn its SCE and LADWP electric meter data into insights about peak demand charges, anomalous use patterns, and the factors causing monthly utility bill volatility. Without needing hardware for the mechanical rooms, nor software for any BMS, Gridium’s web platform and emailed reports were quickly provisioned.

An example savings opportunity, identified by Snapmeter’s machine learning algorithms, was the early startup time of a building on Wilshire Blvd (the Chief Engineer suspected the building’s electric heating was causing unnecessarily high mid-morning demand charges). Snapmeter flagged the issue, and its weekly load curve graph made it clear where adjustments were needed.

Gridium’s Snapmeter service provides constant feedback and support of our actions as we work to reduce spend across our portfolio. Once changes are complete, Billcast’s variance analysis confirms our success and gives us the confidence and insight we need to move onto our next energy management project.

Robert Lutes, Director of Engineering Services