Zusammenfassung
High wind speeds, rain and sea states are only one part of the challenging conditions for the operation and maintenance of offshore wind farms. The availability of vehicles, technicians and spare parts are adding additional boundary conditions. To cope with this complexity, decision support tools have been developed for the prioritization of operation and maintenance works performed by individual decision makers. Current decision support tools focus mostly on environmental conditions, logistical setups, associated risks and failure behavior in the installed technology. While some models include decision processes evaluated by experts, present research neglects one important aspect: the evaluation of work prioritization by real human decision makers. This work aims to understand the decision limitations used in present decision support tools. We will create an overview of boundaries, to enable future research of human decision making processes for the advancement of decision support tools.
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Literatur
50Hertz.com (2017) Kriegers Flak – Combined Grid Solution. http://www.50hertz.com/de/Netzausbau/Leitungen-auf-See/Projekte/Combined-Grid-Solution. Accessed: 22.02.2017
Bendlin D, Marx Gómez J, Wolken-Möhlmann G (2016) Decision support with weather statistics and simulation software for offshore wind farms
Besnard F (2013) On maintenance optimization for offshore wind farms, Chalmers University of Technology
Besnard F, Fischer K, Tjernberg LB (2013) A Model for the Optimization of the Maintenance Support Organization for Offshore Wind Farms. IEEE Trans. Sustain. Energy 4(2), doi: https://doi.org/10.1109/tste.2012.2225454, pp 443–450
Brink T, Madsen SO, Lutz S (2015) Perspectives on how operation & maintenance (O&M) in-novations contribute to the reduction of Levelized Cost of Energy (LCOE) in offshore wind parks
Carroll J, McDonald A, McMillan D (2016) Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines. Wind Energ. doi: https://doi.org/10.1002/we.1887, 19 (6) pp 1107–1119
Dalgic Y (2015) Development of offshore wind operational expenditure model and investigation of optimum operation and maintenance fleet, University of Strathclyde. Dept. of Naval Architecture, Ocean and Marine Engineering
Dinwoodie I (2014) Modelling the operation and maintenance of offshore wind farms
Dinwoodie I, Endrerud O-EV, Hofmann M, Martin R, Sperstad IB (2015) Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms. Wind Engineering doi: https://doi.org/10.1260/0309-524x.39.1.1, 39(1) pp 1–14
Globaltechone (2017) Ein neues Konzept – Das schwimmende Offshore-Umspannwerk. http://www.globaltechone.de/technik-bau/umspannstation/. Accessed: 13.02.2017
GRS Global Renewable Shipbrokers GmbH (2017) http://www.grs-offshore.com/. Accessed: 27.02.2017
Karyotakis A (2011) On the Optimisation of Operation and Maintenance Strategies for Offshore Wind Farms. Doctoral thesis, University College London
Mathisen GE, Bergh LIV (2016) Action errors and rule violations at offshore oil rigs: The role of engagement, emotional exhaustion and health complaints. Safety Science 85, pp 130–138
Nielsen JS (2013) Risk-Based Operation and Maintenance of Offshore Wind Turbines. River Publishers Niels Jernes Vej 10 9220 Aalborg Ø Denmark
Sperstad IB, Stålhane M, Dinwoodie I, Endrerud O-EV, Martin R, Warner E (2016) Testing the Robustness of Optimal Vessel Fleet Selection for Operation and Maintenance of Offshore Wind Farms
Vattenfall.com (2016) Vattenfall wins tender to build the largest wind farm in the Nordics. https://corporate.vattenfall.com/press-and-media/press-releases/2016/vattenfall-wins-ten-der-to-build-the-largest-wind-farm-in-the-nordics/. Accessed: 10.02.2017
WindEurope.org (2016) The European offshore wind industry: Key trends and statistics 2016.
Wolken-Möhlmann G, Bendlin D, Buschmann J, Wiggert M (2016) Project Schedule Assessment with a Focus on Different Input Weather Data Sources. doi: https://doi.org/10.1016/j.egypro.2016.09.226, Energy Procedia 94, pp 517–522
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Bendlin, D., Wolken-Möhlmann, G., Wiggert, M., Parker, S., Marx Gómez, J. (2018). Boundaries of Decision-Making Simulations in Operation and Maintenance of Offshore Wind Farms. In: Arndt, HK., Marx Gómez, J., Wohlgemuth, V., Lehmann, S., Pleshkanovska, R. (eds) Nachhaltige Betriebliche Umweltinformationssysteme. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-20380-1_12
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DOI: https://doi.org/10.1007/978-3-658-20380-1_12
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