GIS-based multi-criteria decision analysis for site selection of hybrid offshore wind and wave energy systems in Greece

The deployment of Hybrid Offshore Wind and Wave Energy Systems (HOWiWaES) towards the simultaneous exploitation of the corresponding offshore renewable energy sources, may efficiently address the common challenge of the offshore wind and the wave energy sector to reduce their costs, with multiple additional benefits. A prerequisite at an early stage of the realization of a HOWiWaES project is the determination of marine areas suitable for the deployment of HOWiWaES. In the present paper, a methodological framework for identifying the most appropriate marine areas in Greece towards the deployment/siting of HOWiWaES is developed and presented. The framework is based on the combined use of multi-criteria decision making methods and Geographical Information Systems (GIS). At the first stage of the analysis, the unsuitable for the deployment of HOWiWaES marine areas are identified through the development of a GIS database that produces thematic maps representing exclusion criteria related to utilization restrictions as well as to economic, technical and social constraints. Then, at the second stage of the analysis, eligible marine areas not satisfying exclusion criteria are evaluated and ranked using the Analytical Hierarchy Process (AHP), based on evaluation criteria related to economic, technical and socio-political factors. The AHP's implementation is supported by the developed GIS database, eliminating significantly the subjectivity in judgments. The results of the paper illustrate the potential for deploying HOWiWaES in Greece, especially in the offshore areas of Crete and in a lengthwise zone extended from North-central to central Aegean.

[1]  Takvor H. Soukissian,et al.  Assessment of the Wind and Wave Climate of the Hellenic Seas Using 10-Year Hindcast Results , 2008 .

[2]  A. Clément,et al.  Wave energy in Europe: current status and perspectives , 2002 .

[3]  Andreas Uihlein,et al.  Ocean energy development in Europe: Current status and future perspectives , 2015 .

[4]  Thomas L. Saaty,et al.  On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process , 2007, Math. Comput. Model..

[5]  E. Løken Use of multicriteria decision analysis methods for energy planning problems , 2007 .

[6]  Manish Pal,et al.  Development of the location suitability index for wave energy production by ANN and MCDM techniques , 2016 .

[7]  Pece V. Gorsevski,et al.  A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio , 2015 .

[8]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[9]  I. J. Ramírez-Rosado,et al.  Promotion of new wind farms based on a decision support system , 2008 .

[10]  Reinhard Madlener,et al.  Wind Farm Siting Using a Spatial Analytic Hierarchy Process Approach: A Case Study of the Städteregion Aachen , 2016 .

[11]  Torgeir Moan,et al.  Experimental and numerical study of the response of the offshore combined wind/wave energy concept SFC in extreme environmental conditions , 2016 .

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

[13]  George Galanis,et al.  Multi-criteria site selection for offshore renewable energy platforms , 2016 .

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

[15]  Jens Peter Kofoed,et al.  Optimal siting of offshore wind-power combined with wave energy through a marine spatial planning approach , 2013 .

[16]  Takvor H. Soukissian,et al.  A New Wind and Wave Atlas of the Hellenic Seas , 2008 .

[17]  J. Blachowski,et al.  GIS-BASED METHOD FOR WIND FARM LOCATION MULTI-CRITERIA ANALYSIS , 2014 .

[18]  E. Kondili,et al.  Environmental and social footprint of offshore wind energy. Comparison with onshore counterpart , 2016 .

[19]  Kazim Baris Atici,et al.  A GIS-based Multiple Criteria Decision Analysis approach for wind power plant site selection , 2015 .

[20]  Vasilis Fthenakis,et al.  GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State , 2011 .

[21]  A. M. Papadopoulos,et al.  Developments in the utilisation of wind energy in Greece , 2008 .

[22]  Nazli Yonca Aydin,et al.  GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey , 2013 .

[23]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[24]  Torgeir Moan,et al.  Experimental study of the functionality of a semisubmersible wind turbine combined with flap-type Wave Energy Converters , 2016 .

[25]  Jeong-Il Park,et al.  Offshore wind farm site selection study around Jeju Island, South Korea , 2016 .

[26]  Kostas Kalaitzakis,et al.  Sustainable siting process in large wind farms case study in Crete , 2015 .

[27]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[28]  Takvor H. Soukissian,et al.  Wind And Wave Potential In Offshore Locations of the Greek Seas , 2012 .

[29]  Heracles Polatidis,et al.  Environmental management framework for wind farm siting: methodology and case study. , 2010, Journal of environmental management.

[30]  M. Hudson,et al.  Regional scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation , 2015 .

[31]  H. Effat Spatial Modeling of Optimum Zones for Wind Farms Using Remote Sensing and Geographic Information System, Application in the Red Sea, Egypt , 2014 .

[32]  Torgeir Moan,et al.  Dynamic response and power performance of a combined Spar-type floating wind turbine and coaxial floating wave energy converter , 2013 .

[33]  Takvor H. Soukissian,et al.  Wave potential of the Greek seas , 2011 .

[34]  Gregorio Iglesias,et al.  A review of combined wave and offshore wind energy , 2015 .