Daintree Networks (GE Current) (General Electric) > Case Studies > Large Telecom Provider Invests in Wireless Controls to Optimize Lighting Energy Management for Multi-Facility Operations

Large Telecom Provider Invests in Wireless Controls to Optimize Lighting Energy Management for Multi-Facility Operations

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 Large Telecom Provider Invests in Wireless Controls to Optimize Lighting Energy Management for Multi-Facility Operations - IoT ONE Case Study
Technology Category
  • Automation & Control - Electric Drives & Control
  • Functional Applications - Remote Monitoring & Control Systems
  • Sensors - Optical Sensors
Applicable Industries
  • Telecommunications
Use Cases
  • Mesh Networks
The Customer
Jones Lang LaSalle (JLL)
About The Customer
Jones Lang LaSalle (JLL), large, publicly traded telecom company
The Challenge

As energy and operational efficiencies became critical to business operations, the telecom giant could no longer rely on its existing system to draw opportunities for energy savings and operational efficiency. The old system was limited to time-clock control, and had no intelligence on occupancy or building behavior. It was time to change the defunct lighting contactor based control system in both facilities

The Solution

Empowered by ControlScope’s open standards-based wireless mesh network, the lighting fixtures, occupancy sensors, and wireless switches have the ability to communicate wirelessly with each other and the ControlScope system. The ControlScope network provides the platform for JLL to centrally configure and manage lighting zones throughout the buildings, and specify lighting profiles to meet each floor tenants’ lighting needs and to maximize energy and operational savings. The different lighting zones are correlated to the occupancy sensors for occupancy sensing control is the most effective strategy. From a standard Web browser, JLL can log into the ControlScope Manager console to: • Dynamically tailor lighting profiles for each lighting zone • Monitor and report energy usage in real time • Discover opportunities to deepen energy and operational savings

Data Collected
Lighting, Occupancy
Operational Impact
  • [Cost Reduction - Energy]
    Less energy wasted results in lower costs
  • [Efficiency Improvement - Operation]
    Lights are easily kept at optimal levels
  • [Cost Reduction - Energy]
    Using less energy reduces the impact on the environment

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