DETERMINATION OF TURKEY'S CARBONIZATION INDEX BASED ON BASIC ENERGY INDICATORS BY ARTIFICIAL NEURAL NETWORKS

ÖZDEMİR V.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.26, sa.1, ss.9-15, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 1
  • Basım Tarihi: 2011
  • Dergi Adı: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.9-15
  • Anahtar Kelimeler: Carbonization index, energy indicators, artificial neural network, DEMAND, CONSUMPTION, EMISSIONS
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, Turkey's Carbonization Index (nu) depending on the basic energy indicator has determined as an analytical equation. In this paper, artificial neural networks (ANN) which is quite often in recent years and the possibility of applying to many fields, are used to obtain analytical expressions. Carbonization Index is defined the amount of CO(2) emissions per energy consumption. This parameter is an important for Turkey because of has signed the Kyoto protocol, February 2009. According to the results, accuracy of the carbonization index formulated empirical was obtained as R(2)= 1. It is expected that this study will be helpful in demonstrating carbonization index for policy makers.