AI-Agent Energy System Design

Energy System Designer

The AI agent helps you to design and model your energy system. The AI agent helps you to evaluate the business case for existing flexibility options. It can also identify the most cost-effective way to build new flexibility and achieve climate targets without making bad investments.

Challenges

Decarbonization & transformation

Rising CO2 prices and decarbonization targets are forcing other ways of procuring and converting energy with fewer fossil fuels.

Increasing volatility

Although energy prices on the electricity market are falling on average, volatility with extremely expensive peaks is increasing.

Bad investments

Technological advancements are making significantly more paths possible from a techno-economic perspective than in the past. This makes it all the more important to set the right course and avoid bad investments - in existing plants and new buildings.

Find business cases

Use the AI-Agent Energy System Design to find out what potential already exists in your energy setup and what business case you can use to expand new options.

Avoid bad investments

Find out how to achieve your goals in a cost-optimized way: You don't have to ask "What if I set up x MW of y?" and come up with one of a million possibilities, but the AI agent answers "What should I do to achieve my goals x & y?". You get the information

which energy component or contracts,
at what time,
how large dimensioned

to achieve your goals in a cost-optimized way.

Mapping volatility

Map the price peaks of the energy market and the weather dependency of renewable energies stochastically over several weather years to ensure that your purchasing and infrastructure decisions have the necessary flexibility.

Stochastic

Stochastic mapping of the volatility of the energy markets and the availability of renewable energies ensures that extremes are not ignored by using averages.

Sector-linked

The AI-Agent Energy System Design takes all sectors into account, even intermediate storage in chemical products can be mapped.

Cross-plant

The AI-Agent Energy System Design considers all plants in the balancing group or group-wide together and makes joint recommendations, e.g. for achieving CO2 targets.

Targeted

Existing framework conditions such as emission targets, investment budget limits, required amortization periods, etc. can be stored, which the AI agent meets in its proposals.

Holistic

The AI agent simultaneously looks at the opportunities in purchasing, infrastructure & production to ensure that the existing synergies between the areas can be leveraged.

Take a look at the database for the AI agent

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