Decision criteria for optimal location of wind farms

Exploring Innovative and Successful Applications of Soft Computing

Volumn , Issue , 2013, Pages 199-215

  Sánchez Lozano, Juan Miguel ^a   García Cascales, M Socorro ^a   Lamata, María T ^b   Sierra, Carlos ^c  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC UTILITIES; WIND POWER;

DECISION CRITERIONS; DECISION PROBLEMS; FUZZY TRIANGULAR NUMBERS; HIERARCHICAL STRUCTURES; LINGUISTIC LABELS; LOCATION PROBLEMS; NUMERICAL VALUES; OPTIMAL LOCATIONS;

LOCATION;

EID: 84946141420     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-4666-4785-5.ch011     Document Type: Chapter

References (34)

1. Al Harbi, K. M. A. (2001). Application of the AHPin project management. International Journal of Project Management, 19(1), 19-27. doi:10.1016/S0263-7863(99)00038-1.
2. Al-Yahyai, S., Charabi, Y., Gastli, A., & Al-Badi, A. (2012). Wind farm land suitability indexing using multi-criteria analysis. Renewable Energy, 44, 80-87. doi:10.1016/j.renene.2012.01.004.
3. Alonso, J. A., & Lamata, M. T. (2006). Consistency in the analytic hierarchy process: New approach.International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 14(4), 445-459.doi:10.1142/S0218488506004114.
4. Arán-Carrión, J., Espín-Estrella, A., Aznar-Dols, F., Zamorano-Toro, M., Rodríguez, M., & Ramos-Ridao, A. (2008). Environmental decision-support systems for evaluating the carrying capacity of land areas: Optimal site selection for gridconnected photovoltaic power plants. Renewable & Sustainable Energy Reviews, 12, 2358-2380.doi:10.1016/j.rser.2007.06.011.
5. Arrhenius, S. (1896). On the influence of carbonic acid in the air upon the temperature of the ground. Philosophical Magazine and Journal of Science, 5(41), 237-276.doi:10.1080/14786449608620846.
6. Aydin, N. Y., Kentel, E., & Duzgun, S. (2010).GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey. Renewable & Sustainable Energy Reviews, 14, 364-373. doi:10.1016/j.rser.2009.07.023.
7. Beccali, M., Cellura, M., & Ardente, D. (1998).Decision making in energy planning: The ELECTREmulticriteria analysis approach compared to a fuzzy-sets methodology. Energy Conversion and Management, 39(16-18), 1869-1881.doi:10.1016/S0196-8904(98)00053-3.
8. Chan, F. T. S., Chan, M. H., & Tang, N. K. H.(2000a). Evaluation methodologies for technology selection. Journal of Materials Processing Technology, 107, 330-337. doi:10.1016/S0924-0136(00)00679-8.
9. Chan, F. T. S., Jiang, B., & Tang, N. K. H. (2000b).The development of intelligent decision support tools to aid the design flexible manufacturing systems. International Journal of Production Economics, 65(1), 73-84. doi:10.1016/S0925-5273(99)00091-2.
10. Cheng, C.-H., Yang, K.-L., & Hwang, C.-L.(1999). Evaluating attack helicopters by AHPbased on linguistic variable weight. European Journal of Operational Research, 116(2), 423-435. doi:10.1016/S0377-2217(98)00156-8.
11. Comisión de las Comunidades Europeas. (1996).Energía para el futuro: Fuentes de energía renovables: Libro verde para una estrategia comunitaria.Bruselas. Author..
12. Comisión Europea. (1997). Energía para el futuro: Fuentes de energía renovables: Libro blanco para una estrategia y un plan de acción comunitarios.Bruselas. Author..
13. Domínguez-Bravo, J., García-Casals, X., & Pinedo Pascua, I. (2007). GIS approach to the definition of capacity and generation ceilings of renewable energy technologies. Energy Policy, 35, 4879-4892. doi:10.1016/j.enpol.2007.04.025.
14. García-Cascales, M. S., Lamata, M. T., & Sánchez-Lozano, J. M. (2012). Evaluation of photovoltaic cells in a multi-criteria decision making process.Annals of Operations Research, 199, 373-391.doi:10.1007/s10479-011-1009-x.
15. Instituto para la Diversificación y Ahorro de la Energía IDAE. (2005). Plan de energías renovables en españa (PER) 2005-2010. Madrid: Ministerio de Industria, Turismo y Comercio..
16. Instituto para la Diversificación y Ahorro de la Energía IDAE. (2010). Plan de acción nacional de energías renovables de españa (PANER) 2011- 2020. Madrid: Ministerio de Industria, Turismo y Comercio..
17. Janke, J. R. (2010). Multicriteria GIS modeling of wind and solar farms in Colorado. Renewable Energy, 35, 2228-2234. doi:10.1016/j.renene.2010.03.014.
18. Kablan, M. M. (2004). Decision support for energy conservation promotion: An analytic hierarchy process approach. Energy Policy, 32(10), 1151-1158. doi:10.1016/S0301-4215(03)00078-8.
19. Kahraman, C., Kaya, I., & Cebi, S. (2009). Acomparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy, 34, 1603-1616. doi:10.1016/j.energy.2009.07.008.
20. Kaminaris, S. D., Tsoutsos, T. D., Agoris, D., & Machias, A. V. (2006). Assessing renewables-toelectricity systems: A fuzzy expert system model.Energy Policy, 34, 1357-1366. doi:10.1016/j.enpol.2004.08.054.
21. Parlamento Europeo. (2009). Directiva 2009/28/EC del parlamento europeo y del consejo relativa al fomento del uso de energía procedente de fuentes renovables. Bruselas. Author..
22. Perron, O. (1907). Zur theorie der matrizen. Math.Ann., 64.
23. Ramírez-Rosado, I. J., García-Garrido, E. G., Fernández-Jiménez, L. A., Zorzano-Santamaría, P. J., Monteiro, C., & Miranda, V. (2008). Promotion of new wind farms based on a decision support system. Renewable Energy, 33, 558-566.doi:10.1016/j.renene.2007.03.028.
24. Saaty, T. L. (1980). The analytic hierarchy process.New York: McGraw-Hill..
25. Saaty, T. L. (1989). Group decision making and the AHP. New York: Springer Verlag..
26. Skikos, G. D., & Machias, A. V. (1992). Fuzzy multi criteria decision making for evaluation of wind sites. Wind Energy (Chichester, England), 6(4), 213-228.
27. United Nations. (1992). Conference on environment and development: Rio declaration on environment and development. Rio de Janeiro, Brazil: UN.
28. United Nations. (1997). Framework convention on climatic change: Report of the conference of the parties on its third session. Kyoto, Japan: UN.
29. United Nations Environment Programme/ World Meteorological Organization. (1992). Climate change: The IPCC 1990 and 1992 assessments.Intergovernmental Panel on Climate Change..
30. United Nations Framework Convention on Climate Change. (2013). Message to parties: Early submission of information and views. United Nations Climate Change Secretariat..
31. Van Haaren, R., & Fthenakis, V. (2011). GISbased wind farm site selection using spatial multicriteria analysis (SMCA): Evaluating the case for New York State. Renewable & Sustainable Energy Reviews, 15, 3332-3340. doi:10.1016/j.rser.2011.04.010.
32. Working Group I. (1990). Climate change: The IPCC scientific assessment. Cambridge, UK: Cambridge University Press..
33. Working Group II. (1990). Climate change: The IPCC impacts assessment. Canberra, Australia: Australian Government Publishing Service..
34. Working Group III. (1990). Climate change: The IPCC response strategies. World Meteorological Organization/United Nations Environment Program.