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Mixed integer optimization for an energy supplier

Brief description

Support and further development of individual software for solving mixed integer optimization problems in the energy sector. The support will free up internal resources and give them room for an evaluation of the used python and excel based technology approach and seek for other options.

Supplement

It is about the operation and further development of a customer-specific tool that collects parameters and transfers them to an optimizer. The entire software is executed locally. There is an Excel frontend in which the parameters are entered, then a Python middleware that performs validations and then passes the parameters to the optimizer, which then solves the problem. PTA takes over the user roll primarily. Supporting the technical review is an optional task which might come later in the project.

Subject description

In technical terms, this involves optimizing the running times of certain assets (boilers, turbines, etc.) under certain assumptions (energy prices, weather, maintenance times, etc.).

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Dr. Andreas Schneider, grauhaariger Mann mit Brille

Dr. Andreas Schneider

Head of Energy

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