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Digital Twins Offer Us Access to New Knowledge


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An engine component and its digital twin.

According to SINTEF researcher Jan Tore Fagertun, “A digital twin incorporating real-time simulation makes it possible to answer questions that are of key importance to those responsible for managing an aquaculture facility.”

Credit: McKinsey.com

Data modeling systems developed by researchers at Norwegian research and development organization SINTEF can extrapolate new insights from vast datasets using digital twins.

The researchers are developing a digital twin for the RACE Digitalcage aquaculture project.

SINTEF's Jan Tore Fagertun said, "A digital twin incorporating real-time simulation makes it possible to answer questions that are of key importance to those responsible for managing an aquaculture facility."

When fed weather and wave-condition projections and historical production data, the digital twin can anticipate short- and long-term facility production trends, as well as provide decision support.

Fagertun envisions digital twins providing such capabilities to future aquaculture operations involving massive numbers of fish and located far away from shore.

From SINTEF (Norway)
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