Data management at the heart of industrial process optimization
To achieve their objectives, especially in terms of reducing CO2 emissions, industrial companies can now rely on the collection and analysis of their data, thanks to the use of an intelligent platform like the Energisme solution.
In France, the industrial sector accounts for 18% of greenhouse gas emissions
The modernization of the industrial tool is a vector of competitiveness and goes hand in hand with its decarbonization, a key issue for the public authorities in order to reach the climate objectives set by international treaties.
How can the industrial sector reduce its environmental footprint?
The reduction of C02 emissions requires a series of measures:
Detection of energy losses, energy renovation of equipment and reduction of energy consumption
Replacing fossil fuels with non-carbon energies (hydrogen, biomass, renewable energies, etc.), electrifying industrial processes to replace coal- or natural gas-based processes, which are high CO2 emitters
Such as electrolysis or electrosynthesis to reduce carbon dioxide emissions from the conversion of raw materials into semi-finished or finished products
Development of C02 capture and storage technologies to avoid or limit C02 emissions into the environment
To achieve the objectives of the National Low Carbon Strategy, i.e. to reduce greenhouse gas emissions by 81% between 2015 and 2050, the best strategy would undoubtedly be to coordinate these different technologies.
However, the development of new industrial processes, particularly for heat production in sectors such as cement or steel, is very costly and requires significant R&D efforts. The French government supports these efforts through incentive policies for technological innovation.
In the medium term, however, the first lever to be used to move towards decarbonization of industry is energy sobriety.
The Energisme platform allows you to continuously monitor the evolution of your energy consumption, your carbon trajectory and your regulatory objectives. Therefore, it is a reliable tool for optimizing industrial processes.
How to use data to serve industry?
- Have a centralized industrial control platform
- Improve energy performance
- Develop innovative processes
Have a centralized industrial control platform
Industrial sites generate a wide range of data:
- Production data
- Energy data
- Material losses
- Process quality data
- Human resources data
To this data, we must add the energy consumption data that was traditionally issued by suppliers and network managers. The smart industry changes the game by making industrial companies more autonomous in collecting data.
The Energisme solution is able to connect with ERP systems and to capture data that allows to have all the business data in order to have relevant restitutions. It also allows you to automate data collection via IoT sensors on equipment. You choose precisely what you want to measure and where on the site.
The platform then centralizes all the data, collected internally or externally, and makes it intelligible. Thanks to artificial intelligence, the solution detects patterns and provides relevant information to create a true energy management system.
Improve energy performance
To achieve energy efficiency and reduce their energy consumption, companies can rely on data. Smart industry (industry 4.0) is based on data collection via smart sensors and connected objects.
The N’Gage solution developed by Energisme can then:
- Centralize energy consumption and production data (water and air quality) and usage data collected via IoT sensors on industrial site equipment
- Cross-reference this data with other data sources (external data, data from energy suppliers and energy network managers, etc.)
- Identify energy losses, energy-consuming equipment and processes in order to implement a low-carbon action plan.
- Act remotely on the automatons thanks to the control command
Based on this information, the company can implement several actions to improve energy performance:
- Recover and reuse the waste heat produced by its processes
- Adjust the energy consumption of its equipment according to its real needs or temporarily reduce the physical consumption of a site (consumption reduction)
- Anticipate energy consumption using a predictive analysis module
- Move to a “smart grid” logic, a connected network where data is shared with energy suppliers to adjust flows and promote the integration of renewable energy.
Develop innovative processes
Technological innovation is one of the keys to decarbonizing industry. However, the cost of R&D to develop new industrial processes can be prohibitive and affect the short-term competitiveness of companies.
Collecting and analyzing massive and heterogeneous data on industrial sites contributes to this innovation dynamic.
Indeed, by centralizing all the data from your industrial sites in the Energisme platform, you can also perform predictive modeling by integrating new variables. For example, you can estimate your carbon footprint or your energy consumption in case of integration of a new process.
In this case, the data allows you to estimate the environmental gains but also the impact of the new process on the operating costs of your industrial park.