Print Email Facebook Twitter Assessment of expected production of a deep-sea mining system Title Assessment of expected production of a deep-sea mining system: An integrated model-based systems engineering and discrete event simulation approach Author Solheim, Astrid V. (Norwegian University of Science and Technology (NTNU)) Rauzy, Antoine B. (Norwegian University of Science and Technology (NTNU)) Brett, Per Olaf (Norwegian University of Science and Technology (NTNU); Ulstein International A.S.) Ellefmo, Steinar (Norwegian University of Science and Technology (NTNU)) Hatling, Tonje (Norwegian University of Science and Technology (NTNU)) Helmons, R.L.J. (TU Delft Offshore and Dredging Engineering; Norwegian University of Science and Technology (NTNU)) Asbjørnslett, Bjørn Egil (Norwegian University of Science and Technology (NTNU)) Date 2023 Abstract In this paper, model-based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep-sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship-to-ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance. Subject deep-sea miningdiscrete event simulationexpected productionmodel-based systems engineeringMonte Carlo To reference this document use: http://resolver.tudelft.nl/uuid:470ef79c-e772-4f36-bba8-cbf2209ae3d0 DOI https://doi.org/10.1002/sys.21699 ISSN 1098-1241 Source Systems Engineering: the journal of the International Council on Systems Engineering, 26 (6), 847-858 Part of collection Institutional Repository Document type journal article Rights © 2023 Astrid V. Solheim, Antoine B. Rauzy, Per Olaf Brett, Steinar Ellefmo, Tonje Hatling, R.L.J. Helmons, Bjørn Egil Asbjørnslett Files PDF Systems_Engineering_2023_ ... grated.pdf 1.51 MB Close viewer /islandora/object/uuid:470ef79c-e772-4f36-bba8-cbf2209ae3d0/datastream/OBJ/view