JLL Uncovers Energy Inefficiencies & Cost Savings
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Verdigris AI energy meters
Tech Stack
- AI energy meters
- Building Automation System (BAS)
Implementation Scale
- Departmental Deployment
Impact Metrics
- Cost Savings
- Environmental Impact Reduction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
- Buildings
Applicable Functions
- Facility Management
- Maintenance
Use Cases
- Building Automation & Control
- Energy Management System
- Predictive Maintenance
Services
- Data Science Services
- System Integration
About The Customer
JLL is a global leader in real estate services, managing over 4.6 billion square feet of property and facility management. The company is deeply committed to sustainability, recognizing that over 40% of total carbon emissions originate from the built environment. In 2019, JLL announced ambitious plans to reduce their carbon emissions by 70% and to collaborate with clients on sustainability initiatives. JLL's Block 300 property in downtown Portland, OR, is a LEED Gold and Energy Star certified building. Despite these certifications, the management team at Block 300 faced challenges in gaining visibility into the building's day-to-day operations, particularly concerning energy usage. This lack of insight prompted JLL to seek assistance from Verdigris to enhance their energy intelligence capabilities.
The Challenge
JLL, a global leader in real estate services, manages over 4.6 billion square feet of property and facility management. They are committed to sustainability, recognizing that over 40% of total carbon emissions come from the built environment. In 2019, JLL announced plans to cut their carbon emissions by 70% and partner with clients on sustainability efforts. At JLL’s Block 300 property in downtown Portland, OR, the management team lacked visibility into the day-to-day operations of the building. Although the LEED Gold and Energy Star certified building had a building automation system (BAS), it did not provide much data on the building’s energy usage. JLL turned to Verdigris for help with the missing energy intelligence.
The Solution
Verdigris installed AI energy meters at the Block 300 building to collect data aimed at improving the efficiency and reliability of electrically-operated equipment. The Verdigris data and analytics provided insights in four key areas: operational transparency, operational cost savings, preventative maintenance, and measurement and verification of energy-efficient upgrades. With Verdigris, the Block 300 team could proactively monitor equipment energy consumption and resolve potential issues before they affected tenant comfort. For instance, they compared two supply fans for the north and south sides of the building to detect anomalies. Verdigris also identified opportunities for operational cost savings, such as optimizing chiller operating hours to avoid peak demand charges. Additionally, Verdigris data revealed a garage exhaust fan running constantly, leading to an upgrade with a variable frequency drive (VFD), resulting in a 50% reduction in demand.
Operational Impact
Quantitative Benefit
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