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Verdigris Technologies > Case Studies > Boosting Maintenance Staff Capacity at Lower Cost, for the GM of Two Hotels
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Boosting Maintenance Staff Capacity at Lower Cost, for the GM of Two Hotels

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Buildings
Applicable Functions
  • Facility Management
  • Maintenance
Use Cases
  • Building Energy Management
  • Predictive Maintenance
  • Energy Management System
  • Remote Asset Management
Services
  • System Integration
  • Data Science Services
The Challenge
Juan and the Orchard ownership group had reached the limit of their own capacity. Orchard faced two key challenges: Limited engineering capacity to proactively manage their properties in an effective manner. A rigorous method to measure success and return on investment, especially for new energy efficiency projects. Moreover, from his position overlooking two hotels, Juan wanted a better way to monitor usage and compare results between the two properties. Each 10 stories tall, with a roughly equal number of rooms and located just 500 yards apart, the energy consumption profile should be very similar. In fact, this wasn’t the case.
About The Customer
Verdigris is the comprehensive electricity monitoring and notification system for commercial facilities. By delivering deep building intelligence, Verdigris enables greater operational efficiency throughout the built environment. In 2015, Juan Bueno of the Orchard Hotel Group engaged Verdigris to help him get energy use under control in his two hotels. With an understaffed engineering office, Juan lacked the bandwidth to proactively manage energy spend at both locations. Verdigris showcased how our system can help general managers achieve more effective operational management, even at multiple sites. Verdigris provided key data points for the Orchard team to quickly identify problems in both energy waste and equipment malfunctions, saving money and valuable time for the engineering staff. Its user-friendly notifications can help bridge the gap for under-resourced teams where expertise and man-hours are limited.
The Solution
Orchard turned to Verdigris to access data at a more granular level and assess the impact of engineering decisions made. In a process that Juan described as “effortless” and without interfering with day-to-day operations, Verdigris installed two systems in each building and began generating actionable insights within five days. Juan chose Verdigris because the system tracks energy usage in real-time, and the high definition data would provide the detail he otherwise lacked to make informed decisions. And the high resolution of Verdigris’ sensors goes beyond simple energy management to directly highlight critical equipment malfunctions and inefficiencies, providing much needed operational leverage to Juan and his staff. Additionally, the system allows users to access this continuous data via a convenient dashboard. Working together, Verdigris presented data in a digestible way to Juan and his team, leading to clear, targeted recommendations to present to ownership and move forward.
Operational Impact
  • Verdigris automatically identifies inefficiencies and malfunctions in equipment without taking extra time to hunt for them or waiting for guests to notify management.
  • Rather than hunting for unknown problems, Juan’s chief engineer could go straight to fixing problems he already knew existed. And with persistent 24/7 monitoring, Verdigris catches these problems any time they occur — whether overnight, on the weekend, or in the middle of Thanksgiving dinner.
  • Verdigris provided Orchard with a clearer picture of where energy is going at both properties, while providing directed notifications to engineering staff to help them spend their time more efficiently.
Quantitative Benefit
  • In the peak cooling months, average hourly energy use on the circuit was 18% lower.
  • The newer hotel consumes 15% more energy per square foot.
  • Unoccupied rooms drew just a few hundred watts per day from persistent load, 30% below the sister property.

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