A Multi-Objective Mixed Integer Linear Programming Model for Energy Resource Allocation Problem: The Case of Turkey

Year 2014, Volume: 27 Issue: 4, 1157 - 1168, 10.06.2014

Evren Özcan , Serpil Erol

Abstract

Energy is one of the most basic elements for raising social welfare, playing a fascinating role in economic and social progress of the countries and thus increasing the competitiveness of the countries in globalized world. Therefore, carrying out the sustainable energy policies which are based on social, economic and environmental factors and in this context, finding the local, sustainable, environmentally-friendly and economic resources and the optimal distribution of them have become a necessity in order to achieve the sustainable development thrusts. In this study, a multi-objective mixed integer linear programming (MOMILP) model which reflects the Turkey’s realities and necessities and optimizes simultaneously the objectives of total cost minimization, CO₂ emission minimization, energy import minimization, fossil resource usage minimization, employment maximization and social acceptance maximization is proposed. This model is solved by Minimum Deviation Method (MDM) considering the most basic energy resources (solar, wind, coal, natural gas, hydroelectric, nuclear etc.) used for the electricity generation all over the world and a 11-years electricity generation plan is obtained on the basis of resources for Turkey.

Keywords

Energy resource allocation, energy planning, multi-objective programming, minimum deviation method

References

• San Cristóbal, J.R., 2012, “A Goal Programming Model for the Optimal Mix and Location of Renewable Energy Plants in the North of Spain”, Renewable and Sustainable Energy Reviews, Vol. 16, pp. 4461-4464.
• Arnette, A., Zobel, C.W., 2012, “An Optimization Model Development”, Renewable and Sustainable Energy Reviews, Vol. 16, pp. 4606-4615. Energy
• Jinturkar, A.M., Deshmukh, S.S., 2011, “A Fuzzy Mixed Integer Goal Programming Approach for Cooking and Heating Energy Planning in Rural”, Expert Systems with Applications, Vol. 38, No. 9, pp. 11377-11381.
• Deshmukh, S.S., Deshmukh, M.K., 2009, “A New Approach to Micro-Level Energy Planning—A Case of Northern Parts of Rajasthan, India”, Renewable and Sustainable Energy Reviews, Vol. 13, pp. 634- 642.
• Jana, C., Chattopadhyay, N., 2004, “Block Level Energy Planning for Domestic Lighting - A Multi Objective Fuzzy Linear Programming Approach”, Energy, Vol. 29, pp. 1819–1829.
• Antunes, C.H., Martins, A.G., Brito, I.S., 2004, “A Multiple Programming Expansion Planning”, Energy, Vol. 29, pp. 613-627. Power Generation
• Borges, A.R., Antunes, C.H., 2003, “A Fuzzy Multiple Objective Decision Support Model for Energy-Economy Planning”, European Journal of Operational Research, Vol. 145, pp. 304-316.
• Agrawal, R.K., Singh, S.P., 2001, “Energy Allocations for Cooking in UP Households (India): A fuzzy Analysis”, Energy Conver Manage, Vol. 42, pp. 2139–2154. Objective
• Mavrotas, G., Diakoulaki, D., Papayannakis, L., 1999, “An Energy Planning Approach based on Mixed 0-1 Multiple Objective Linear Programming”, International Transactions in Operational Research, Vol. 6, pp. 231-244.
• Mezher, T., Chedid, R., Zahabi, W., 1998, “Energy Resource Allocation Using Multi Objective Goal Programming: The Case of Lebanon”, Applied Energy, Vol. 61, pp. 175-192.
• Pokharel, S., Chandrashekara, M., 1998, “A Multi Objective Approach to Rural Energy Policy Analysis”, Energy, Vol. 23, No. 4, pp. 325-336.
• Republic of Turkey Ministry of Energy and Natural Resources, 2012, “Turkey’s Electricity Statistics”.
• Energy Information Administration, 2011, “Levelized Cost of New Generation Resources in the Annual Energy Outlook 2011.
• Lazard, 2009, “Levelized Cost of Energy Analysis”.
• Sovacool, B.K., 2008 “Valuing the Greenhouse Gas Emissions from Nuclear Power: A Critical Survey”, Energy Policy, Vol. 36, pp. 2950-2962.
• Estimation of Emission Reductions, http://www.cdmgoldstandard.org/project- certification/rules-and-toolkit, 2012.
• Turkish Electricity Transmission Company (TEİAŞ), 2013, “Turkish Electrical Energy Generation Capacity Projections”, pp. 24.
• Republic of Turkey Ministry of Energy and Natural Resources, 2009, “Strategical Plan of Republic of Turkey Ministry of Energy and Natural Resources 2010 - 2014”, pp. 25-30.
• Republic of Turkey Prime Ministry, “2012-Mountly and http://www.hazine.org.tr/tr/index.php/ekonomi/enflas yon, 2012. Inflation Rates,
• Tabucanon, M.T., 1988, “Multiplecriteria Decision Making in Industry”, Elseiver, Amsterdam-Oxford- New York-Tokyo.
• Saaty, T.L., 1980, “The Analytic Hierarchy Process”, McGraw-Hill, New York, A.B.D.