Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method.

One of the characteristics of the Spanish energy system is its high degree of dependence on imports. In 2005, the Spanish government approved the new Renewable Energy Plan in the following sectors: Windpower, Hydroelectric, Solar Thermal, Solar Thermo-electric, Photovoltaic, Biomass, Biogas and Biofuels. The aim of the Plan is to make it possible to reach the target of 12% of primary energy being met from renewable sources by 2010. When selecting one from various Renewable Energy investment projects different groups of decision-makers become involved in the process. Decision-making has to take into consideration several conflicting objectives because of the increasingly complex social, economic, technological, and environmental factors that are present. Traditional single-criterion decision-making is no longer able to handle these problems. The Compromise Ranking method, also known as the VIKOR method, introduces the Multi-criteria ranking index based on the particular measure of “closeness” to the “ideal” solution. In this paper, we apply the method in the selection of a Renewable Energy project corresponding to the Renewable Energy Plan launched by the Spanish Government. The method is combined with the Analytical Hierarchy Process method for weighting the importance of the different criteria, which allows decision-makers to assign these values based on their preferences. The results show that the Biomass plant option (Co-combustion in a conventional power plant) is the best choice, followed by the Wind power and Solar Thermo-electric alternatives.

[1]  Heracles Polatidis,et al.  Renewable energy projects: structuring a multi-criteria group decision-making framework , 2003 .

[2]  M. Ramachandran,et al.  Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .

[3]  Bilal Akash,et al.  A neuro-fuzzy program approach for evaluating electric power generation systems , 2001 .

[4]  Kamal Golabi,et al.  Selecting a Portfolio of Solar Energy Projects Using Multiattribute Preference Theory , 1981 .

[5]  M. Goumas,et al.  An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects , 2000, Eur. J. Oper. Res..

[6]  Mousa S. Mohsen,et al.  Evaluation of domestic solar water heating system in Jordan using analytic hierarchy process , 1997 .

[7]  Amy H. I. Lee,et al.  Multi-criteria decision making on strategic selection of wind farms , 2009 .

[8]  Carlos Henggeler Antunes,et al.  A fuzzy multiple objective decision support model for energy-economy planning , 2003, Eur. J. Oper. Res..

[9]  Bilal Akash,et al.  Fuzzy sets programming to perform evaluation of solar systems in Jordan , 2001 .

[10]  Jean Pierre Brans,et al.  Multicriteria ranking of alternative locations for small scale hydro plants , 1987 .

[11]  Haydar Aras,et al.  Multi-criteria selection for a wind observation station location using analytic hierarchy process , 2004 .

[12]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[13]  S. Iniyan,et al.  An optimal renewable energy model for various end-uses , 2000 .

[14]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[15]  Chris Hope,et al.  A Multi-attribute Value Model for the Study of UK Energy Policy , 1990 .

[16]  Thomas L. Saaty Fundamentals of decision making and priority theory , 2000 .

[17]  E. Georgopoulou,et al.  A multicriteria decision aid approach for energy planning problems: The case of renewable energy option , 1997 .

[18]  L. Suganthi,et al.  Renewable energy in India — a modelling study for 2020–2021 , 2000 .

[19]  L. S. Ganesh,et al.  A multiobjective programming approach to energy resource allocation problems , 1993 .

[20]  Adel Guitouni,et al.  Tentative guidelines to help choosing an appropriate MCDA method , 1998, Eur. J. Oper. Res..

[21]  M. Dicorato,et al.  A regional energy planning methodology including renewable energy sources and environmental constraints , 2003 .

[22]  M. Ramachandran,et al.  Multi-criteria evaluation of cooking energy alternatives for promoting parabolic solar cooker in India , 2004 .

[23]  Zhang Yanping,et al.  Improved VIKOR Algorithm Based on AHP and Shannon Entropy in the Selection of Thermal Power Enterprise's Coal Suppliers , 2008, 2008 International Conference on Information Management, Innovation Management and Industrial Engineering.

[24]  Luís M.C. Gato,et al.  Geo-spatial multi-criteria analysis for wave energy conversion system deployment , 2009 .

[25]  M. G Goumas,et al.  Computational methods for planning and evaluating geothermal energy projects , 1999 .

[26]  P. Yu A Class of Solutions for Group Decision Problems , 1973 .

[27]  Milan Zeleny,et al.  Multiple Criteria Decision Making (MCDM) , 2004 .

[28]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[29]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[30]  W. Xiaohua,et al.  Sustainable development of rural energy and its appraising system in China , 2002 .

[31]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[32]  D. Diakoulaki,et al.  Design and implementation of a group DSS for sustaining renewable energies exploitation , 1998, Eur. J. Oper. Res..

[33]  T. C. Kandpal,et al.  Optimal mix of technologies in rural India: The cooking sector , 1991 .

[34]  R. Venkata Rao,et al.  A decision making methodology for material selection using an improved compromise ranking method , 2008 .

[35]  Maurizio Cellura,et al.  Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology , 2003 .