EPE  Vol.2 No.3 , August 2010
Constraints Based Decision Support for Site-Specific Preliminary Design of Wind Turbines
Abstract: This study presents a decision-support tool for preliminary design of a horizontal wind turbine system. The function of this tool is to assist the various actors in making decisions about choices inherent to their activities in the field of wind energy. Wind turbine cost and site characteristics are taken into account in the used models which are mainly based on the engineering knowledge. The present tool uses a constraint-modelling technique in combination with a CSP solver (numerical CSPs which are based on an arithmetic interval). In this way, it generates solutions and automatically performs the concept selection and costing of a given wind turbine. The data generated by the tool and required for decision making are: the quality index of solution (wind turbine), the amount of energy produced, the total cost of the wind turbine and the design variables which define the architecture of the wind turbine system. When applied to redesign a standard wind turbine in adequacy with a given site, the present tool proved both its ability to implement constraint modelling and its usefulness in conducting an appraisal.
Cite this paper: nullA. Arbaoui and M. Asbik, "Constraints Based Decision Support for Site-Specific Preliminary Design of Wind Turbines," Energy and Power Engineering, Vol. 2 No. 3, 2010, pp. 161-170. doi: 10.4236/epe.2010.23024.

[1]   J. F. Courtney, “Decision Making and Knowledge Management in Inquiring Organization: Toward a New Decision-Making Paradigm for DSS,” Decision Support systems, Vol. 31, No. 1, 2001, pp. 17-38.

[2]   C. T. Kiranoudis, N. G. Voros and Z. B. Maroulis, “Short-Cut Design of Wind Farms,” Energy Policy, Vol. 29, No. 7, 2001, pp. 567-578.

[3]   D. Scaravetti, J. Pailhès, J.-P. Nadeau and P. Sébastian, “Aided Decision-Making for an Embodiment Design Problem: Advances in Integrated Design and Manufacturing in Mechanical Engineering,” Springer, Dordrecht, 2005.

[4]   F. Benhamou and W. Older, “Applying Interval Arithmetic to Real, Integer and Boolean Constraints,” The Journal of Logic Programming, Vol. 32, No. 1, 1997, pp. 1-24.

[5]   P. Fuglsang, C. Bak, J. G. Schepers, T. T. Cockerill, P. Claiden, A. Olesen and R. Van Rossen, “Site-specific Design Optimisation of Wind Turbines,” Wind Energy, Vol. 5, No. 4, 2002, pp. 261-279.

[6]   T. Diveux, P. Sebastian, D. Bernard, J. R. Puiggali and J. Y. Grandidier, “Horizontal Axis Wind Turbine Systems: Optimization Using Genetic Algorithms,” Wind Energy, Vol. 4, No. 4, 2002, pp. 151-171.

[7]   T. Burton, D. Sharpe, N. Jenkins and E. Bossanyi, “Wind Energy Handbook,” John Wiley & Sons Ltd., London, 2001.

[8]   A. Arbaoui, “Aide à La décision pour la définition d’un système éolien, Adéquation au site et à un réseau faible,” PhD Thesis of the Ecole Nationale Supérieure d’Arts et Métiers de Bordeaux, 2006.

[9]   R. Harrison and G. Jenkins, “Cost Modelling of Horizontal Axis Wind Turbines (Phase 2),” ETSU W/34/00170/ REP, University of Sunderland, 1994.

[10]   I. Troen and E. L. Petersen, “European Wind Atlas,” RISO, Commission of the European Communities, Ris? National Laboratory, Roskilde, 1989.

[11]   A. Spera, “Wind Turbine Technology,” The American Society of Mechanical Engineering, New York, 1998.