Estimating energy and exergy production and consumption values using three different genetic algorithm approaches. Part 2: Application and scenarios

被引：28

作者：

Ceylan, H

Ozturk, HK

Hepbasli, A ^{[1
]}

Utlu, Z

机构：

[1] Ege Univ, Fac Engn, Dept Mech Engn, TR-35100 Izmir, Turkey

[2] Pamukkale Univ, Fac Engn, Camlik, Denizli, Turkey

[3] Ege Univ, Solar Energy Sci Branch, Grad Sch Nat & Appl Sci, TR-35100 Izmir, Turkey

来源：

ENERGY SOURCES | 2005年 / 27卷 / 07期

关键词：

energy; energy demand; energy modeling; energy planning; exergy; exergy modeling; future projections; GA; genetic algorithm; Turkey;

D O I：

10.1080/00908310490448631

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The main objective of the present study is to investigate the application of the genetic algorithm (GA) method with various scenarios for the future estimation of the energy and exergy production and consumption values. The methodology developed and presented in detail in Part 1 of this study was applied to Turkey's energy and exergy utilization values. Good correlations were obtained in all cases, indicating the validity of the models proposed that can be used to estimate total energy and exergy production and consumption of Turkey for the period of 2000 - 2020. It may be concluded that the models reported here will provide the investigators with knowledge about how a country can model its natural resources in terms of energy and exergy utilizations.

引用

页码：629 / 639

页数：11

共 17 条

[1]

CEYLAN H, 2003, CD P 1 INT EX EN ENV, P527

[2] Low-energy design: combining computer-based optimisation and human judgement [J].