Guia docenteCurso
Escuela Universitaria Politécnica
  Inicio | galego | castellano | english | A A |  
Mestrado Universitario en Eficiencia e Aproveitamento Enerxético
 Asignaturas
  Evaluación y Optimización de la Sostenibilidad de Sistemas Energéticos
   Fuentes de información
Básica

Apuntes y transparencias de la asignatura

Complementária

Sustentabilidade e desenvolvemento sustentable.

• United Nations. Our common future. World commission on environment and development. 1st ed. Oxford, UK: Oxford University Press; 1987, ISBN 978-0-19-282080-8. p. 416.

• United Nations. The Rio declaration on environment and development [Internet]. In: The United Nations conference on environment and development (UNCED); 1992 June 3-14. Rio of Janeiro, Brazil.

• Bouvier LF, Grant L. How many Americans?: population, immigration and the environment. San Francisco, CA, USA: Sierra Club Books; 1994, ISBN 978-0-87156-496-2.

• Meadows D, Meadows D, Randers J. Limits to growth: the 30-year update. 3rd ed. White River Jct., VT, USA: Chelsea Green Publishing; 2004, ISBN 978-1-931498-58-6.

Avaliación da sustentabilidade de centrais eléctricas renovables e non renovables. Métodos de avaliación da sustentabilidade.

• Kaya T, Kahraman C. Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: the case of Istanbul. Energy 2010; 35(6): 2517-27.

• Diakoulaki D, Karangelis F. Multi-criteria decision analysis and cost-benefit analysis of alternative scenarios for the power generation sector in Greece. Renew Sustain Energy Rev 2007; 11(4): 716-27.

• Jovanovic M, Afgan A, Radovanovic P, Stevanovic V. Sustainable development of the Belgrade energy system. Energy 2009; 34(5): 532-9.

• Kowalski K, Stagl S, Madlener R, Omann I. Sustainable energy futures:

methodological challenges in combining scenarios and participatory multicriteria

analysis. Eur J Operational Res 2009; 197(3): 1063-74.

• Afgan NH, Carvalho MG. Multi-criteria assessment of new and renewable energy power plants. Energy 2002; 27(8): 739-55.

• Afgan NH, Carvalho MG, Jovanovic M. Biomass-fired power plant: the sustainability option. Int J Sustain Energy 2007; 26(4): 179-93.

• Begic F, Afgan NH. Sustainability assessment tool for the decision making in selection of energy systemdBosnian case. Energy 2007; 32(10): 1979-85.

• Burton J, Hubacek K. Is small beautiful? A multi-criteria assessment of smallscale energy technology applications in local governments. Energy Policy 2007; 35(12): 6402-12.

• Doukas HCh, Andreas BM, Psarras JE. Multi-criteria decision aid for the formulation of sustainable technological energy priorities using linguistic variables. Eur J Operational Res 2007; 182(2): 844-55.

• Varun, Prakash R, Bhat IK. Energy, economics and environmental impacts of renewable energy systems. Renew Sustain Energy Rev 2009; 13(9): 2716-21.

• Kahraman C, Kaya I, Cebi S. A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy 2009; 34(10): 1603-16.

• Dombi M, Kuti I, Balogh P. Sustainability assessment of renewable power and heat generation technologies. Energy Policy 2014; 67: 264-71.

• Gómez D, del Caño A, de la Cruz MP, Josa A. Metodología genérica para la evaluación de la sostenibilidad de sistemas constructivos. El método MIVES. In: Aguado A, editor. Sostenibilidad y construcción. Madrid, Spain: Asociación Científico-Técnica del Hormigón Estructural; 2012. p. 385-411.

• de la Cruz MP, Castro A, del Caño A, Gómez D, Lara M, Cartelle JJ. Comprehensive methods for dealing with uncertainty in assessing sustainability. Part I: the MIVES e Monte Carlo method. In: García-Cascales MS, Sánchez-Lozano JM, Masegosa AD, Cruz-Corona C, editors. Soft computing applications for renewable energy and energy efficiency. Hershey, PA, USA: IGIGlobal; 2015, ISBN 978-1-4666-6631-3. p.69-p106.

• Cartelle Barros JJ, et al., Assessing the global sustainability of different electricity generation systems. Energy 2015; 89(2015): 473-489.

Métodos de optimización en enxeñaría. Optimización da sustentabilidade de sistemas enerxéticos.

• B.D. Ripley, Stochastic simulation, Wiley & Sons, New York (1987).

• C.A. Floudas and P.M. Pardalos, Encyclopedia of optimization, Springer, USA (2009).

• F. Rothlauf, Design of modern heuristics: principles and application, Springer, Germany (2011).

• R.L. Haupt and S.E. Haupt, Practical genetic algorithms, Wiley, Hoboken, New Jersey (2004).

• A. Aboshosha and Y. Khalyfa, Genetic algorithms theories and applications, LAP Lambert, Saarbrücken, Germany (2012).

• F. Glover, “Tabu search: Part I”, in ORSA J Comput 1989, Vol. 1(3) pp. 190–260.

• F. Glover, “Tabu search: Part II”, in ORSA J Comput 1989, Vol. 2(1), pp. 4–32.

• S. Kirkpatrick, C.D. Gelatt and M.P. Vecchi, “Optimization by simulated annealing”, in Science 1983, Vol. 220(4598), pp. 671-680.

• A. Dekkers and E.H. Aarts, “Global optimization and simulated annealing”, In Mathematical Programming 1991, Vol. 50(3), pp. 367-393.

• Del Caño A, de la Cruz P, Cartelle JJ, Lara M, Conceptual framework for an integrated method to optimize sustainability of engineering systems. Journal of Energy and Power Engineering 9 (2015) 608-615.

Universidade da Coruña - Rúa Maestranza 9, 15001 A Coruña - Tel. +34 981 16 70 00  Soporte Guías Docentes