Optimizing consumption and emission in gas fuel consuming power applyinf DEA model

Abstract

In this paper, energy consumption and carbon dioxide emission of the Iran gas generators is studied using Data Envelopment Analysis (DEA) and Goal Programming (GP) to show the importance of CO2 emission in Iran like most other countries and also conserve fuel as key role of today life and industry. Ramanathan studied energy consumption and carbon dioxide emission as well, from 17 countries of the Middle East and North Africa (MENA) with four indicators for the year 1996. In this paper a simple goal programming model to minimizing carbon dioxide emission and gas consumption is revealed for the year 2004 by employing three main indicators.

First electricity generated by generators, then carbon dioxide emission and at last natural gas consumption as fuel. Albeit there are other factors like generators condition, environmental situation and etc, that could be considered for further studies. The analysis concludes the most and least efficient units and revealed an optimizing model which its optimized results are comparable to international standards for CO2 emission and fuel consumption.