Energy cost can be a significant burden in production operations, and any savings in this area can have a direct and positive impact on overall profitability.
Teal Neural collects real-time data on your machinery’s energy consumption. This can include factors such as energy consumption during normal operations, energy spikes during peak activity periods, and energy usage during idle times.
Subsequently, Teal Neural processes and analyses this data, identifying patterns and trends. This analysis helps understand how your machinery’s temperatures fluctuate in relation to energy consumption. This way, you can identify peak energy consumption times and the conditions that cause them, as well as areas where consumption is unnecessarily high.
Finally, Teal Neural suggests energy-saving strategies based on the collected and analysed data. These strategies may include adjustments in how machinery is operated, changes in work practices to avoid energy consumption peaks, or even maintenance and machinery upgrades to improve energy efficiency.
Teal Neural provides a clear understanding of where energy is being spent and how it can be saved. This understanding can lead to significant energy savings, reducing long-term costs, improving operational efficiency, and contributing to the organisation’s sustainability efforts.