Rednut Ltd
Industry: Specialised Pet Food Business
Feed Production: 42,000 tonnes per annum
Feed Plants: 1
Species: Cat & Dog
Plant - Gowran / Ireland
Control System
The Rednut manufacturing process is fully automated using a comprehensive suite of InFeed 600 systems.
Background
Rednut produces over 42,000 tonnes of pet food annually. This manufacturing process with its use of large machines and drying equipment was lacking any real time data or analysis of its energy consumption. Energy data was being collected and recorded manually with a limited level of control and visibility over consumption.
Requirement
Rednut required the ability to gather and analyze energy data in a more efficient manner. They also needed a means of reducing their Main Incoming Capacity (MIC) threshold and also to eliminate costly MIC breaches, which were occurring all too frequently. They believed that more up to date data would lead to better efficiencies and reduced consumption. Rednut also were determined to implement the Winter Demand Reduction Incentive (WDRI) scheme and needed a system that would guarantee its success.
Solution
Following detailed research allied to some extensive consultancy, Rednut decided to purchase ICM Computer Systems energy monitoring and control system – EnECOMS.
EnECOMS (Enterprise Energy Control Optimisation & Management System) is an automated energy management solution suitable for use across a complete range of industry sectors or enterprises. The system comprising of windows online real time SCADA based PC/PLC hardware and software is linked directly to the client's main energy incoming meter(s) to obtain pulses for kW, kVA and 15 minute energy consumption cycle. In real time, an intelligent software algorithm is performed on the live incoming data which allows the system to accurately predict energy usage for each 15 minute energy consumption cycle. The system would then automatically take evasive load shedding action should the prediction exceed specific targeted levels of consumption, MIC or Max Demand levels. EnECOMS reaction to potential breaches was configured using the systems multi-function management tools, which enabled the system user to reduce energy by disabling or restricting targeted machines. When energy levels equalised the system would automatically allow normal operations to resume/continue. Energy consumption for specific areas and specific machines were captured with individual meters. All data from the meters and exceptions was/is collected, processed and archived for live or historical reporting, trending and comparison purposes.
Results
HMI Sample Screens