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On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development

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Paper "On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development" presented at ECMFA 2017, part of STAF, @ Marburg.

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On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development

  1. 1. On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development Abel Gómez, Xabier Mendialdua, Gábor Bergmann, Jordi Cabot, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, Juan de Lara and Salvador Trujillo 1
  2. 2. • Private not-for-profit applied research centre • Created in 1974 within Mondragon Group • 16.000 M€ (Spanish 7th largest industrial group) • Workforce around 85.000 (cooperative) • Facts (2016) • IK4-IKERLAN revenue 20 M€ • Funding is mostly private (65%) and public (35%) • Staff : 260 professionals + 43 staff in training 2
  3. 3. Wind Turbines 3
  4. 4. Wind Turbine Control Systems 4
  5. 5. Wind Turbine Control Systems 5
  6. 6. Model-based Engineering for WTCS Development 6
  7. 7. Model-based Engineering for WTCS Development 7
  8. 8. Model-based Engineering for WTCS Development 8
  9. 9. Future • Increase in the number of developers using MBE techniques (from 10+ to 20+) • Wind turbine control customization (30 different variants) 9
  10. 10. Limitations • Lack of features to work collaboratively • Complex, tedious and error prone merge & sync tasks • Inability to work with partial models 10
  11. 11. Challenges 1. Enable collaborative modeling 2. Ability to edit partial models or model fragments 3. Display and edit models graphically 4. Enable modeling in lightweight mobile devices 11
  12. 12. Towards a Scalable MBE Development Process • MONDO Collaboration Framework • Offline Collaboration • Online Collaboration • DSL-tao • EMF-Splitter • Hawk 12
  13. 13. 13
  14. 14. Offline Collaborative WTCS Modeling 14
  15. 15. Online Concurrent WTCS Modeling 15
  16. 16. Offline Graphical Collaborative WTCS Modeling 16
  17. 17. Evaluation Scenario 1 — Wind Turbine Control Design Scenario 2 — Wind Turbine Comissioning Scenario 3 — Maintenance activities in the Wind Farm Using Mobile Devices 17
  18. 18. Quantitative Measures QN1 - Increase in time for loading a model on a Tablet instead of on a PC QN2 - Number of concurrent users working with a model QN3 - Time for change propagation and notification among concurrent users QN4 - Maximum number of elements that can be displayed in a diagram QN5 - Time for loading a diagram having 25 element to de displayed QN6 - Time for commiting model changes QN7 - Performance impact caused by the MONDO Collaboration Framework QN8 - Time reduction for building graphical domain specific modeling editors Good Sufficient Excellent 18
  19. 19. QL1 - Is there a methodology which specifies how a large DSL should be constructed QL2 - Is there a tool support for the methodology, which guides the user on the construction of a large DSL? QL3 - Does this tool provide a way to create a basic but fully functional collaborative domain specific modeling tool? QL4 - Is MONDO technology mature enough to be used in industrial solutions? QL5 - Does MONDO technology allow concurrent editing of a model? QL6 - Does MONDO technology allow partial loading of models? QL7 - Does MONDO technology allow progressive loading of a model? QL8 - Does MONDO technology allow working with several modeling languages in a single tool? QL9 - Can a model be edited using a tablet? Fully fulfilled Partially fulfilled Qualitative Measures 19
  20. 20. Discussion 20
  21. 21. Continuous compliance Method- ological guidance Web technology Mobile- dedicated modeling environments 21
  22. 22. On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development Abel Gómez, Xabier Mendialdua, Gábor Bergmann, Jordi Cabot, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, Juan de Lara and Salvador Trujillo 22

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