Since 1975, there has been a great deal of interest, particularly during the past decade, in the promising genetic algorithm (GA) and its application to various disciplines from medicine to cogeneration. However, the studies performed on energy-related GA modeling are relatively low in numbers. The main objective of the present study is to develop the exergy input/output estimation equations in order to estimate the future projections based on the GA notion. In this regard, the GA Future Total EXergy Input/Output Estimation Models (GAFTEXIEM/GAFTEXOEM) are used to estimate total exergy input/output demand of Turkey, which is selected as an application country, based on the economic and social indicators of gross domestic product (GDP), population, import, export and house production figures. The future prediction of Turkey's total exergy input/output values are projected between 2003 and 2023. It may be concluded that the models proposed here can be used as an alternative solution and estimation techniques to available estimation techniques. It is also expected that this study will be helpful in developing highly applicable and productive planning for energy policies.
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Original Articles
An Application of Genetic Algorithm Search Techniques to the Future Total Exergy Input/Output Estimation
Harun Kemal Ozturk
Mechanical Engineering Department Faculty of Engineering, Pamukkale University, Denizli, Turkey
, Olcay Ersel Canyurt
Civil Engineering Department Faculty of Engineering, Pamukkale University, Denizli, Turkey
, Arif Hepbasli
Mechanical Engineering Department Faculty of Engineering, Ege University, Izmir, Turkey
& Zafer Utlu
Turkish Land Forces NCO Vocational College, Balikesir, Turkey
Pages 715-725
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Published online: 19 Aug 2006
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