Presenting a Multi-Objective Linear Planning Model for Optimal Allocation of Iranian Energy Resources

Document Type : Original Article

Authors

1 Assistant Professor, University of Tehran.

2 Professor, Tehran University.

3 Associate Professor, University of Tehran.

Abstract

Using a multi-objective linear planning model, this study investigates the optimal allocation of the country's energy resources to the various sectors of home, business, transportation, industry, agriculture, export, injection to oil reservoirs and power plants as secondary energy producers. Political, economic and environmental goals have also been taken into account. Data from 1346 to 1387 have been used to predict energy demand in different consumption segments and validate the model. Also, according to the targeted subsidies plan, the allocation of oil and gas resources to different sectors of consumption during 2011-2011 has been investigated. The results of this study provide suitable strategies for planners and decision makers to plan appropriately for optimal allocation of energy resources of the country.

Keywords


1. A. Kazemi, H. Shakouri G, MB. Menhaj, MR. Mehregan, MR. Taghizadeh, A. Foroughi A. (2009). A Multi-level Artificial Neural Network for Gasoline Demand Forecasting of Iran, The 2nd International Conference on Computer and Electrical Engineering (ICCEE), Dubai.
2. A. Kazemi, H. Shakouri G, MB. Menhaj, MR. Mehregan, N. Neshat. (2010). A Hierarchical Fuzzy Linear Regression Model for Forecasting Agriculture Energy Demand: A Case Study of Iran, International Conference on Management Technology and Applications (ICMTA), Singapore.
3. A. Kazemi, H. Shakouri G, MB. Menhaj, MR. Mehregan, N. Neshat. (2010). A Multi-level Artificial Neural Network for Residential and Commercial Energy Demand Forecast: Iran Case Study, International Conference on Management Technology and Applications (ICMTA), Singapore.
4. A.R. Borges, C.H. Antunes. (2003). A fuzzy multiple objective decision support model for energy-economy planning, European Journal of Operational Research; 145: 304-316.
5. http://amar.sci.org.ir/
6. http://ifco.ir/
7. http://new.iies.org/
8. http://riemp.ut.ac.ir/modeling-tim,mesa,mesage.htm
9. http://unfccc.int/ghg_data/items/3825.php
10. http://www.eia.doe.gov/
11. Mehdi Sadeghi, Hossein Mirshojaeian Hosseini. (2006). Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs), Energy Policy; 34: 993–1003.
12. MR. Taghizadeh, H. Shakouri G, MB. Menhaj, MR. Mehregan, A. Kazemi. (2009). Design of a Multi-level Fuzzy Linear Regression Model for Forecasting Transport Energy Demand: A Case Study of Iran, 39th International Conference on Computers & Industrial Engineering (CIE39), France.
20. R.K. Agrawal, S.P. Singh. (2001). Energy allocation for cooking in UP household (India) A fuzzy multi-objective analysis. Energy Conversion and Management; 42: 2139-2154.
21. T. Mezher, R. Chedid, W. Zahabi. (1998). Energy resource allocation using multi-objective goal programming: the case of Lebanon. Applied Energy; 61: 175-192.