Abstract
In this publication, we present how the AltaRica 3.0 modelling language can be used to efficiently design a model of an offshore windmill farm and evaluate its performance. The system we consider is composed of combinations of series-parallel components, combining different states for components and different modes for parts of the system and implements complex reconfiguration strategies.
Knowing the syntax and semantics of languages such as AltaRica 3.0 is however not sufficient to efficiently design models. First, models should make it possible to efficiently calculate performance indicators. Second, individual models should be designed quickly (and without bugs!) and modelling knowledge should be capitalized from models to models. With both respects, architectural and behavioural modelling patterns are of great help. The AltaRica 3.0 model we propose in this article for the assessment of an offshore windmill farm achieves both goals. We show that the design of the model is very efficient thanks to the advanced structural constructs of the AltaRica 3.0 modelling language. Finally, we use assessment tools available for AltaRica 3.0, e.g. the stochastic simulator, to evaluate the model of the system.
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Batteux, M., Prosvirnova, T., Rauzy, A. (2022). Performance Assessment of an Offshore Windmill Farm with AltaRica 3.0. In: Seguin, C., Zeller, M., Prosvirnova, T. (eds) Model-Based Safety and Assessment. IMBSA 2022. Lecture Notes in Computer Science, vol 13525. Springer, Cham. https://doi.org/10.1007/978-3-031-15842-1_10
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