SYSTEMS AND TECHNIQUES FOR OPTIMIZING THE IMPLEMENTATION AND OPERATION OF POWER-TO-X PLANTS

Abstract: in an example method, a system accesses a first data set representing parameters for implementing and operating a power-to-x plant, and determines one or more configurations of the power-to-x plant based on the first data set and a bayesian optimization process. the configurations are determined by parsing the first data set to identify fields in the first data set, each representing a respective parameter; generating a plurality of data vectors representing respective first candidate configurations of the power-to-x plant; inputting the data vectors and the first data set into a computer model; predicting, based on the computer model, a performance of the power-to-x plant according to each of the first candidate configurations; and generating, using the bayesian optimization process, one or more second candidate configurations based on the predicted performance. further, the system generates and stores a second data set representing the one or more configurations of the power-to-x plant.

Inventor(s): Malo Grisard, Pierre Meziane, Dylan Ankrah, Martin Pocquet, Krzysztof Postek, Ariane Dalens, Markus Ruplitsch, Hamid Maher

CPC Classification: G06Q10/06375 ({Prediction of business process outcome or impact based on a proposed change})

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