Download PDF
Energy Management and Operational Improvements in Quick-Serve Restaurants: A Case Study of TOMS King
Technology Category
- Functional Applications - Fleet Management Systems (FMS)
- Sensors - Optical Sensors
Applicable Industries
- Equipment & Machinery
Use Cases
- Energy Management System
- Outdoor Environmental Monitoring
Services
- System Integration
The Challenge
In quick-serve restaurants, numerous energy-consuming assets such as HVAC units, kitchen equipment, and indoor and outdoor lights are critical for the successful operation of the business. These assets often run throughout the day to maintain normal operations and ensure customer comfort. However, without a comprehensive energy management system (EMS), there are missed opportunities for energy savings. TOMS King, an energy-conscious quick-serve restaurant operator, recognized this challenge and sought to identify savings opportunities through increased visibility into energy consumption, detailed analysis of trends and issues, and more intelligent control over HVAC and lighting. The challenge was initially addressed at six Burger King restaurants in April 2013, and once successful, the solution was extended to their entire restaurant portfolio.
About The Customer
TOMS King is an energy-conscious quick-serve restaurant operator that runs a fleet of Burger King restaurants. The company is committed to energy efficiency and operational improvements in its restaurants. It has a large team of over 2,000 members and serves a vast number of customers daily. The company operates in various locations, including Illinois, Ohio, and Pennsylvania. TOMS King is known for its proactive approach to energy management, as demonstrated by its deployment of GridPoint’s EMS across its entire restaurant portfolio.
The Solution
To address the challenge, TOMS King deployed GridPoint’s EMS. The solution involved implementing HVAC and lighting controls, installing extensive asset-level submetering, and monitoring several pieces of equipment. TOMS King also gained access to GridPoint’s cloud-based software platform, GridPoint Energy Manager, which aggregates and visualizes data collected at each site. Additionally, TOMS King subscribed to GridPoint’s Energy Advisory and Control Support Services to get the most value out of the EMS data while optimizing their fleet of Burger King restaurants. GridPoint also worked with TOMS King to develop a formal process for all heating, cooling, and lighting adjustments across their fleet of restaurants. The GridPoint mobile and desktop applications provide visibility to TOMS King’s Directors of Operations and District Managers, along with 24-hour call center support to ensure the energy management program continues to deliver restaurant comfort, operational visibility, and energy savings.
Operational Impact
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.