With rising energy prices and increasing pressure to reduce CO2 emissions, companies are looking for effective ways to manage their energy consumption. One key element is the analysis of energy consumption data to monitor, model and optimise energy processes. The use of advanced analytical tools allows companies to reduce operating costs and increase energy efficiency.
Benefits of energy data analysis
Optimising energy consumption
Analysing energy data helps to identify energy consumption patterns so that optimal operating schedules for machinery and equipment can be implemented. Based on accurate measurements, peak energy demand hours can be identified and certain processes can be shifted to hours when energy costs are lower. An example is the implementation of an energy management system (EMS), which allows dynamic control of energy consumption and can reduce costs by up to 10-20%.
Detection of excessive energy losses and bottlenecks
With tools such as thermal imaging analysis or monitoring of equipment operating parameters (e.g. temperature, pressure, energy consumption), it is possible to quickly detect areas of low energy efficiency. For example, an energy analysis of a production line can pinpoint equipment generating excessive heat loss. This, in turn, makes it possible to target modernisation measures at the most problematic areas, thus reducing the payback time.
Reducing the risk of breakdowns and downtime
Systematic monitoring of energy consumption allows early detection of anomalies that may indicate impending technical problems. For example, an increase in a motor’s energy consumption may signal worn bearings or incorrect lubrication. By using Predictive Maintenance strategies, repairs can be scheduled before failures occur, minimising the risk of unplanned downtime and reducing production costs.
Compliance with ISO 50001 and environmental regulations
An increasing number of companies are obliged to comply with energy management standards such as ISO 50001. The analysis of energy consumption data facilitates the collection of information on CO2 emissions and energy consumption, which helps to meet legal requirements and prepare energy audits. Compliance with the standards avoids penalties and builds a company’s image as a responsible environmental leader.
Tools and technologies to support energy consumption analysis
- Energy management systems (EMS): Enable real-time monitoring and optimisation of energy consumption.
- IoT technology and smart sensors: Collect machine performance data, enabling accurate analysis.
- Big Data and Artificial Intelligence (AI): They support the analysis of large data sets, identifying patterns that are difficult to spot using traditional methods.
Why is energy data analysis crucial?
Analysing energy consumption data allows companies to make informed energy management decisions. Optimising energy consumption, reducing losses and avoiding breakdowns are the main benefits that contribute to reducing operating costs. In the long term, investment in modern analytics technology can result in significant savings and improved compliance with environmental regulations.
By implementing advanced energy management systems, IoT technologies and data analytics, companies can effectively reduce their carbon footprint and lower their overall energy costs. Continuous analysis and optimisation of energy consumption are becoming an indispensable part of a sustainability strategy for companies that want to meet the challenges of today’s market.
