EnergismeSmart Industry & energy performanceEnergy management System – Smart Industry

The energy management system,
a pillar of smart industry

Energy efficiency is at the heart of the challenges of smart industry.

To gain competitiveness and meet the challenges of the energy transition, the industrial players of the future will benefit from an optimized energy management system. By reinforcing your control of the data, the solution developed by Energisme contributes to improving the energy management of your industrial sites.

What is energy management?

Energy management is a proactive and systemic approach that consists in rationalizing and optimizing energy consumption to meet environmental and economic challenges.

Energy efficiency is a challenge for many companies, particularly in industry

On the one hand, in the European Union, the regulatory obligation to carry out and publish a carbon footprint for companies with more than 500 employees, forces companies to take up the subject.

On the other hand, energy management is also a competitive issue. This is particularly the case in industry, where the cost of utilities has a direct impact on the economic performance of a site.

Energy management practices may vary from one sector to another, but the basic principles remain the same:

  • Collect data and measure energy consumption
  • Identify energy saving opportunities
  • Implement actions to reduce energy consumption
  • Measure results and continuously improve the process

To do so, industrial companies must master the subject of data. The Energisme solution appears as a facilitator to meet their challenges of data collection, analysis and exploitation.

What are the objectives of an energy management system?

Managing energy performance with a metering plan

Managing energy performance with a metering plan

Energy performance is a competitive lever for industrial companies

Energy performance is a competitive lever for industrial companies on 3 levels:

  • reducing dependence on fossil fuels and decarbonizing our business
  • energy savings through energy optimization of equipment and processes
  • improving the company’s image and environmental footprint

To achieve these objectives, companies must have an overview of energy consumption and activity, which is a prerequisite for effective energy performance management. 

The metering plan meets this requirement. It allows to :

  • measure the energy performance of a site
  • set and monitor energy performance indicators (EPI)
  • identify areas for optimization

The solution developed by Energisme allows you to automate a large part of your metering plan. Energisme facilitates your data collection thanks to smart metering and IoT sensors. The solution then centralizes the data and analyzes them to :

  • identify possible drifts
  • Compare actual performance to predictions
  • Present CAI in a clear and understandable way
  • Quantify the gains generated by the improvement actions
Reduce costs related to energy consumption

Reduce costs related to energy consumption

Energy management system

The energy management system aims to improve the energy performance of an industrial site, primarily to gain in competitiveness. 

This concern is part of a long-term trend of rising energy costs. For example, regulated electricity tariffs rose steadily between 2008 and 2013. Then, following a slight decrease between 2014 and 2016, prices have been on the rise again since 2017.

The growing global demand for energy, coupled with the scarcity of fossil fuels, explains this upward trend.

For companies, reducing costs means optimizing energy performance. In this case, this means tracking down energy waste in all their industrial processes. Our N’Gage platform makes it easy to monitor your sites. You can spot sites that are over-consuming and quickly identify energy-intensive equipment or processes.

Meeting the challenges of the energy transition

Meeting the challenges of the energy transition

Environmental concerns

The implementation of an energy management system also responds to environmental concerns. Companies, and in particular industrial companies, are under double pressure to reduce their energy footprint:

The multiplication of regulatory obligations regarding greenhouse gas emissions and decarbonization

Public pressure for companies to take better account of environmental issues

On the one hand, companies are subject to new requirements, such as the obligation to carry out a greenhouse gas emissions assessment every four years for companies with more than 500 employees.

On the other hand, consumers are increasingly integrating environmental issues into their purchasing decisions. These issues therefore affect the image of the brand with its public and also its employer brand. 

Consumers value environmentally responsible companies. Energy management is an integral part of a company’s CSR (social and environmental responsibility) policy.

Reducing risk

Reducing risk

Risk of price increases, resource depletion among others

The cost of energy varies according to supply and demand, but also depends on political decisions and geopolitical developments. 

The depletion of fossil fuels fuels the fear of shortages of certain energy sources and, therefore, the risk of an explosion in prices.

The more energy a company consumes and the more dependent it is on an energy source, the more likely it is that higher costs will impact its profitability.

Our solution allows you to better understand your energy mix and to simulate scenarios of change in your energy mix.

How to set up an energy management system

The implementation of an energy management system is based on 4 successive steps. At each of these steps, the solution developed by Energisme supports you, whether for data collection, analysis or data visualization for the management team.

Step #1: Collect energy data

Unsurprisingly, the first step in this smart energy approach is to conduct an audit of its energy system.

At this stage, it is a matter of collecting the necessary data to evaluate the energy efficiency of the site with regard to energy performance indicators (EPI).

Concretely, the solutions developed by Energisme allow to :

  • define a sub-metering strategy to measure energy efficiency
  • monitor the data to perform a complete energy performance diagnosis

These data are then processed and analyzed to identify areas for optimization.

Step #2: Identify areas for optimization

The cross-referencing and analysis of energy data will certainly reveal patterns of energy waste. 

Using an energy management solution makes it easier to visualize the data and understand the issues. It is particularly useful for processing large data sets and exploring opportunities to reduce energy consumption.

Step #3: Implement actions for better energy efficiency

Data visualization must be the engine of action. Based on the observed data patterns, the company defines an action plan to optimize its energy performance. The actions can take different forms:

  • identification of abnormal consumption and therefore adjusting the operation of the machines 
  • energy renovation and reduction of energy losses
  • use of less energy consuming equipment
  • recovery of energy from waste 
  • optimization of energy purchasing

As the mastery of energy data increases, new energy saving solutions are emerging, such as demand-response (or consumption shaving), which makes it possible to adjust energy expenditure according to actual needs.

Step #4: Measure progress and continuously improve energy management

Energy management is a continuous improvement process. Once the actions have been implemented, it is essential to evaluate the relevance of the energy performance indicators previously defined.

This step allows to :

  • check whether the actions taken have been successful
  • detect possible new problems which, in turn, will lead to other actions

Again, with the energy management solution developed by Energisme, you can schedule regular activity reports and real-time alerts. This way, you can monitor your progress, verify energy savings and react quickly in case of anomaly.