You are here

Home » Content

TÜRKİYE’DE YENİLENEBİLİR ENERJİ ALTERNATİFLERİNİN SEÇİMİ İÇİN GRAF TEORİ VE MATRİS YAKLAŞIM

Journal Name:

  • İstanbul Üniversitesi Ekonometri ve İstatistik Dergisi

Publication Year:

  • 2011

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Renewable energy is the kind of energy including hydro, geothermal, solar, biomass and wind which presents as same in the next day according to natural cycle process. Renewable energy resources, like for all the other countries, make up a significance role in reliable energy supply from economical, political and environmental issues in Turkey. For this reason, selection of the best renewable energy alternative is very important for the energy investment. Graph theory is a logical and system approach consists of model presentations for modeling and analysis in different fields of science and technology. Matrix approach is used in graph models to produce indices and system function to realize the goals. In this study, tangible and intangible criteria are evaluated and relative importance of each criterion is defined according to each other by using graph theory and matrix approach for selecting the best renewable energy alternative.
Bookmark/Search this post with
Abstract (Original Language): 
Yenilenebilir enerji, doğanın evrimi içinde, bir sonraki gün aynen mevcut olabilen hidrolik, jeotermal, güneş, biokütle ve rüzgâr gibi enerji kaynaklarını ifade etmektedir. Yenilenebilir enerji kaynakları tüm ülkelerde olduğu gibi Türkiye içinde ekonomik, politik ve çevre açısından güvenilir enerji sağlama özellikleri ile oldukça önemli bir yere sahiptir. Bu yüzden, enerji yatırımları açısından en iyi yenilenebilir enerji alternatifinin seçimi önemlidir. Graf teori bir mantıksal ve sistem yaklaşımı olarak bilim ve teknolojinin çeşitli alanlarında modelleme ve analiz için kullanılan model sunumlarını kapsar. Matris yaklaşım ise, amaçları karşılamak üzere sistem fonksiyonu ve indeks türetmek için graf modellerin analizinde kullanılır. Bu çalışma, yenilenebilir enerji alternatiflerinin seçimi için somut ve soyut kriterlerin değerlendirildiği ve birbiriyle ilişkili her bir kriterin göreceli önceliğinin tanımlandığı bir graf teori ve matris yaklaşım uygulamasını içermektedir.
FULL TEXT (PDF): 
PDF icon arastirmax-turkiyede-yenilenebilir-enerji-alternatiflerinin-secimi-icin-graf-teori-matris-yaklasim.pdf
  • 13
23-40
  • Turkish

JEL Codes:

REFERENCES

References: 

Afgan N.H, Carvalho M.G. (2002), “Multi-criteria assessment of new and renewable
energy power plants”, Energy, 27:739–55.
Beccali M, Cellura M, Mistretta M., (2003), “Decision-making in energy planning:
application of the ELECTRE method at regional level for the diffusion of renewable energy
technology”, Renewable Energy, 28:2063–87.
Beccali, M., Cellura, M., ve Ardente, D., (1998), “Decision making in energy
planning: the ELECTRE multicriteria analysis approach compared to a FUZZY-SETS
methodology”, Energy Conversion and Management, 39(16): 1869-1881
Borges, A. R.,ve Antunes, C. H. (2003), “A fuzzy multiple objective decision support
model for energy-economy planning”, European Journal of Operational Research, 145:304–
16.
Carella, R., (2001), “The future of European geothermal energy: EGEC and the
Ferrara Declaration”, Renewable Energy, 24(4): 397-399
Darvish, M., Yasaei, M., Saeedi, A., (2009), “ Application of the graph theory and
matrix methods to contractor ranking”, International Journal of Project Management 27 :
610–619
Ertürk, F., (2006), “Türkiye’nin alternatif enerji üretim imkanları ve fırsatları”,
Türkiye’de Enerji ve Kalkınma, (Editörler :Sandıklı, A., Dikici, B., H.,) Tasam yayınları,
İstanbul.
Faisal M. N., Banwet D. K., Shankar R. (2007), “Quantification of risk mitigation
environment of supply chains using graph theory and matrix methods”. European Journal of
Industrial Engineering, 1(1):22–39.
Georgopoulou, E., Sarafidis, Y. ve Diakoulaki, D., (1998), “Design and
implementation of a group DSS for sustaining renewable energies exploitation”, European
Journal of Operational Research, 109(2): 483-500
Goletsis Y, Psarras J, Samouilidis J. E., (2003), “Project ranking in the Armenian
energy sector using a multicriteria method for groups”, Annals of Operations Research,
120:135–57.
Gürbüz, A., (2009), “Enerji piyasası içinde yenilenebilir enerji kaynaklarının yeri ve
önemi”, 5. Uluslar arası İleri Teknolojiler Sempozyumu, Karabük, Türkiye.
Haralambopoulos, D.A. ve Polatidis, H., (2003), “Renewable energy projects:
structuring a multi-criteria group decision-making framework”, Renewable Energy,
28(6):961-973
İlkiliç, C. ve Türkbay, İ., (2010), “Determination and utilization of wind energy
potential for Turkey”, Renewable and Sustainable Energy Reviews, 14(8):2202-2207.
Jurkat, W. B. ve Ryser, H. J. (1966), “Matrix factorisation of determinants and permanents”.
J. Algebra, 3, 1–11.
Kahraman, C., Kaya, İ., Cebi, S., (2009), “A comparative analysis for multiattribute
selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy
analytic hierarchy”, Energy, 34, 1603-1616.
Koh, M. P. ve Hoi, W. K., (2003), “Sustainable biomass production for energy in
Malaysia”, Biomass and Bioenergy, 25(5): 517-529.
Külekçi, Ö.,Ç. (2009), “Yenilenebilir enerji kaynakları arasında jeotermal enerjinin
yeri ve Türkiye açısından önemi”, Ankara Üniversitesi Çevrebilimleri Dergisi, 2, 83-91.
Pohekar, S. D. ve Ramachandran, M., (2004), “Application of multi-criteria decision
making to sustainable energy planning—A review”, Renewable and Sustainable Energy
Reviews, 8(4): 365-381
Rao, R. V. Decision making in the manufacturing environment: using graph theory
and fuzzy multiple attribute decision making methods. London: Springer; 2007.
Rao, R. V., (2006), “A material selection model using graph theoryand matrix
approach, Materials Science and Engineering A, 431: 248–255
Rao, R. V., Gandhi, O. P., (2002), ”Digraph and matrix methods for the machinability
evaluation of work materials”, International Journal of Machine Tools & Manufacture 42,
321–330.
Topcu Y. I, Ulengin F., (2004), “Energy for the future: an integrated decision aid for
the case of Turkey”, Energy, 29:137–54.
Ulutaş¸ B.H. (2005), “Determination of the appropriate energy policy for Turkey”,
Energy , 30:1146–61.
Wang, J., Jing, Y., Zhang, C., ve Zhao, J., (2009), “Review on multi-criteria decision
analysis aid in sustainable energy decision-making”, Renewable and Sustainable Energy
Reviews, 13(9): 2263-2278
Wani, M. F. ve Gandhi, O. P. (1999) ‘Development of maintainability index for
mechanical systems’, Reliability Engineering and System Safety, Vol. 65, No. 3, pp.259–270.

Thank you for copying data from http://www.arastirmax.com