Modeling and simulation of offshore wind farm O&M processes

被引:15
|
作者
Joschko, Philip [1 ]
Widok, Andi H. [1 ]
Appel, Susanne [2 ]
Greiner, Saskia [2 ]
Albers, Henning [2 ]
Page, Bernd [1 ]
机构
[1] Univ Hamburg, Dept Informat, D-22527 Hamburg, Germany
[2] HSB Bremen, Inst Environm & Biotechnol, D-28199 Bremen, Germany
关键词
Offshore wind farms; Operation and maintenance; Process modeling; Process simulation; Risk analysis; BPMN; 2.0;
D O I
10.1016/j.eiar.2014.09.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:31 / 39
页数:9
相关论文
共 50 条
  • [1] Integration of Degradation Processes in a Strategic Offshore Wind Farm O&M Simulation Model
    Welte, Thomas Michael
    Sperstad, Iver Bakken
    Sorum, Espen Hoegh
    Kolstad, Magne Lorentzen
    [J]. ENERGIES, 2017, 10 (07)
  • [2] Optimum CTV fleet selection for offshore wind farm O&M activities
    Dalgic, Y.
    Dinwoodie, I.
    Lazakis, I.
    McMillan, D.
    Revie, M.
    [J]. SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS, 2015, : 1177 - 1185
  • [3] A multivariate Markov Weather Model for O&M Simulation of Offshore Wind Parks
    Hagen, Brede
    Simonsen, Ingve
    Hofmann, Matthias
    Muskulus, Michael
    [J]. DEEPWIND'2013 - SELECTED PAPERS FROM 10TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, 2013, 35 : 137 - 147
  • [4] O&M Modeling of Offshore Wind Farms - State of the Art and Future Developments
    Asgarpour, Masoud
    Sorensen, John Dalsgaard
    [J]. ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM 2016 PROCEEDINGS, 2016,
  • [5] COMPARISON OF O&M COST OF DIFFERENT SCENARIOS FOR A 1GW FLOATING OFFSHORE WIND FARM
    Zhao, Chenyu
    Johanning, Lars
    [J]. PROCEEDINGS OF ASME 2023 5TH INTERNATIONAL OFFSHORE WIND TECHNICAL CONFERENCE, IOWTC2023, 2023,
  • [6] Improving O&M decision tools for offshore wind farm vessel routing by incorporating weather uncertainty
    Hadjoudj, Yannis
    Pandit, Ravi Kumar
    [J]. IET RENEWABLE POWER GENERATION, 2023, 17 (06) : 1488 - 1499
  • [7] A Bayesian network based approach for integration of condition-based maintenance in strategic offshore wind farm O&M simulation models
    Nielsen, J. S.
    Sorensen, J. D.
    Sperstad, I. B.
    Welte, T. M.
    [J]. LIFE-CYCLE ANALYSIS AND ASSESSMENT IN CIVIL ENGINEERING: TOWARDS AN INTEGRATED VISION, 2019, : 2153 - 2160
  • [8] Investigation of optimum jack-up vessel chartering strategy for offshore wind farm O&M activities
    Dalgic, Yalcin
    Lazakis, Iraklis
    Turan, Osman
    Judah, Sol
    [J]. OCEAN ENGINEERING, 2015, 95 : 106 - 115
  • [9] Vessel charter rate estimation for offshore wind O&M activities
    Dalgic, Y.
    Lazakis, I.
    Turan, O.
    [J]. DEVELOPMENTS IN MARITIME TRANSPORTATION AND EXPLOITATION OF SEA RESOURCES, VOL 2, 2014, : 899 - 907
  • [10] Towards improved forecasting for offshore wind turbine O&M transfers
    Mills, P. R.
    Stephen, B.
    McMillan, D.
    Lazakis, I
    [J]. PROGRESS IN RENEWABLE ENERGIES OFFSHORE, 2016, : 805 - 812