Modeling and simulation of offshore wind farm O&M processes |
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| Institution: | 1. University of Hamburg, Dept. of Informatics, Vogt-Kölln-Straße 30, 22527 Hamburg, Germany;2. HSB Bremen, Institute for Environment and Biotechnology, Neustadtswall 30, 28199 Bremen, Germany;1. Department of Management Science, University of Strathclyde, Glasgow G4 0GE, UK;2. Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK;3. Department of Industrial Engineering, TED University, Ankara 06420, Turkey;1. Department of Computer Architecture, Universidad de Málaga, Escuela de Ingenerías, Málaga 29071 Spain;2. Department of Energy and Transport, SINTEF Ocean, P.O. Box 124 Blindern, 0314 Oslo, Norway;3. Department of Informatics, University of Bergen, P.O. Box 7803, 5020 Bergen, Norway;1. Nottingham University Business School China, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China;2. IESEG School of Management, 3 rue de la Digue, 59000 Lille, France;3. LEM-CNRS 9221, 3 rue de la Digue, 59000 Lille, France;4. Centre for Operational Research and Logistics, School of Mathematics and Physics, University of Portsmouth, UK;1. Centre for Operational Research and Logistics, Department of Mathematics, University of Portsmouth, Lion Gate Building, Lion Terrace, Portsmouth PO1 3HF, UK;2. Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, Alfred Getz veg 3, 7491 Trondheim, Norway;3. SINTEF Energy Research, P.O. Box 4761 Sluppen, NO-7465 Trondheim, Norway |
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| Abstract: | This paper describes a holistic approach to operation and maintenance (O&M) processes in the domain of offshore wind farm power generation. The acquisition and process visualization is followed by a risk analysis of all relevant processes. Hereafter, a tool was designed, which is able to model the defined processes in a BPMN 2.0 notation, as well as connect and simulate them. Furthermore, the notation was enriched with new elements, representing other relevant factors that were, to date, only displayable with much higher effort. In that regard a variety of more complex situations were integrated, such as for example new process interactions depending on different weather influences, in which case a stochastic weather generator was combined with the business simulation or other wind farm aspects important to the smooth running of the offshore wind farms. In addition, the choices for different methodologies, such as the simulation framework or the business process notation will be presented and elaborated depending on the impact they had on the development of the approach and the software solution. |
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