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Reducing CO₂ emissions in production

Monitoring energy flows and optimizing the management of production machinery and distributed energy resources can help cut CO2 emissions.

Software can help reduce CO2 emissions

One of the great issues of the 21st century is how to cut carbon emissions. In a market of rising energy prices and volatile sources of renewable energy, operators of production facilities require an energy supply that is tailored to their requirements and enables them to meet their own output targets. In fact, with governments now introducing new carbon pricing measures, the monitoring of energy flows and carbon emissions has become more important than ever. Yet local IT applications are unable to deal fully with this complexity.

The aim must therefore be to create a network that connects all the various sources of energy and consumption points so as to optimize the energy flows and exploit local flexibilities in the energy system – for example, by storing surplus energy or by deferring peak demand to more favorable circumstances. At the same time, production facilities must also be able to identify and exploit any flexibilities in production and logistics and in their building management systems. All of this will help to counterbalance fluctuations in the generation of power from renewable sources of energy. By using predictive systems to manage production machinery and distributed energy resources, it is possible to maximize the consumption of self-generated electricity and reduce external power costs.

Benefits at a glance

  • Deep insight into generation and consumption provide opportunities for optimizing the energy system
  • Generation and load forecasts enable detailed and reliable consumption planning
  • Operators can directly market flexibilities
  • Increase in the proportion of self-generated power consumed
  • Reduction in power drawn from grid
  • Peak demand is capped

How energy management in production can help reduce CO2  emissions

In order to operate production facilities in an economic and sustainable manner, intelligent energy management software is required.

Maximum transparency

Operators can record, analyze, and optimize energy flows.

Optimal use of resources

Operators can maximize the consumption of local, self-generated renewable energy and thereby help to smooth load peaks.

Precise load forecasts

Operators can better plan the use of resources and forecast energy consumption.

Inclusion of electromobility

Smoothing of load peaks caused by electromobility.

Connection to the energy market

Operators can market flexibilities and react to external price signals.

Contact the Bosch.IO Energy team

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Our solution: Balancing Energy Network

As a rule, conventional energy management solutions are used to aggregate and display energy-related data, which is then analyzed manually. By contrast, the Balancing Energy Network is an intelligent energy management system that uses artificial intelligence (AI) not only to analyze energy flows but also to control production machinery and distributed energy resources on the basis of dependable generation and load forecasts.

The Balancing Energy Network solution enables companies to plan production in line with the availability of green energy while continuing to focus on their business targets. Given the existing flexibilities in energy generation, some consumption can be deferred to periods when self-generated, green energy is available in sufficient or surplus quantities. This solution also factors in information such as meteorological data and shift plans in order to draw up enhanced schedules. In addition, load forecasts help establish a production facility’s future energy requirements and thereby create optimal conditions for the purchase of electricity.

Alongside reducing the cost of power drawn from the grid, the Balancing Energy Network also helps reduce the CO2 emissions generated by production companies. By connecting the solution to a heating supply or charging infrastructure for electric vehicles, companies can improve their energy efficiency even further.

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