Sequence determining of construction of the offshore wind farm construction applying permutation method

dc.contributor.authorBagočius, Vygantas
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorTurskis, Zenonas
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2014-08-28
dc.date.available2014-08-28
dc.date.defense2014-09-04
dc.description.abstractRanking of work or feasible investments is one of high-importance keys for successful economic development. The share of renewable energy sources in the Lithuanian primary energy supply is on the lowest among EU. Only bio fuel, hydro and wind power can be considered as potential renewable energy sources in Lithuania at present time. Wind energy generation mature technology and comparatively low cost make it promising as an important primary energy source in the nearest future. The aim of this paper is to determine the sequence for the wind turbine construction in the waters of Lithuania. The key criteria set for was determined for the problem solution: area of the territory, water depth, distance to shore, average wind velocity, max power on the area, amount of energy per year, investments and CO2. AHP method is used to estimate criteria weights. The problem was solved applying multi-attribute permutation method. This method allows dealing with qualitative and quantitative as well as with linguistic (verbal) data.en
dc.formattext
dc.format.extent50-61 s.cs
dc.identifier.doi10.15240/tul/001/2014-3-005
dc.identifier.eissn2336-5604
dc.identifier.issn12123609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/7086
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonBAGOČIUS, V., ZAVADSKAS, E.K., TURSKIS, Z. Multi-person selection of the best wind turbine based on multi-criteria integrated additive-multiplicative utility function. Journal of civil engineering and management. 2014. (In press). ISSN 1392-3730.
dc.relation.isbasedonBRETON, S.P., MOE, G. Status, plans and technologies for offshore wind turbines in Europe and North America. Renewable Energy. 2009, Vol. 34, Iss. 3, pp. 646-654. ISSN 0960-1481.
dc.relation.isbasedonCAVALLARO, F., CIRAOLO, L. A multicriteria approach to evaluate wind energy plants on an Italian island. Energy Policy. 2005, Vol. 33, Iss. 2, pp. 235-244. ISSN 0301-4215.
dc.relation.isbasedonFIEDLER, K., PELDSCHUS, F., ZAVADSKAS, E.K. Methoden der bautechnologischen Enschei dung. Wiss. Berichte der Technischen Hochschule Leipzig. 1986, pp. 17-56.
dc.relation.isbasedonGULBINSKAS, S. Vėjo energetikos plėtros galimybės Baltijos jūroje. In Conference Vėjo energetikos plėtra ir perspektyvos. 2009, June 15, Vilnius (in Lithuanian).
dc.relation.isbasedonHWANG, C.L., YOON, K.S. Multiple Attribute Decision Making. Methods and Applications. Berlin, Heidelberg, New York: Springer-Verlag, 1981. 259 pp. ISBN 978-3-642-48318-9.
dc.relation.isbasedonISHIZAKA, A., NEMERY, P. Multi-criteria decision analysis: methods and software. West Sussex: Wiley, 2013. 310 pp. ISBN 978-1-119-97407-9.
dc.relation.isbasedonKILDIENE, S., ZAVADSKAS, E.K., TAMOŠAITIENE, J. Complex assessment model for advanced technology deployment. Journal of civil engineering and management. 2014, Vol. 20, Iss. 2, pp. 280-290. ISSN 1392-3730.
dc.relation.isbasedonLEE, A.H.I., CHEN, H.H., KANG, H.Y. Multi-criteria decision making on strategic selection of wind farms. Renewable Energy. 2009, Vol. 34, Iss. 1, pp. 120-126. ISSN 0960-1481.
dc.relation.isbasedonLEUNG, D.Y.C., YANG, Y. Wind energy development and its environmental impact: A review. Renewable and Sustainable Energy Reviews. 2012, Vol. 16, Iss. 1, pp. 1031-1039. ISSN 1364-0321.
dc.relation.isbasedonLietuvos Respublikos energetikos ministerija. Nacionalinė energetinės nepriklausomybės strategija,Vilnius, Nr. XI-2133. 2012. ISBN 978-609-95429-0-4.
dc.relation.isbasedonMARKEVIČIUS, A., KATINAS, V., MARČIUKAITIS, M. Wind energy development policy and prospects in Lithuania. Energy Policy. 2007, Vol. 35, Iss. 10, pp. 4893-4901. ISSN 0301-4215.
dc.relation.isbasedonMILLER, G.T., SPOOLMAN, S.E. Living in the environment. Principles, Connections, and Solutions. 16th ed. Cengage Learning, 2009. 828 p. ISBN 978-0495556718.
dc.relation.isbasedonMURPHY, J., LYNCH, K., SERRI, L., AIRDOLDI, D., LOPES, M. Site Selection Analysis for Offshore Combined Resource Projects in Europe. In Results of the FP7 ORECCA Project Work Package 2. ORECCA, 28th October, 2011. 117p. Available also from: http://www.orecca.eu/c/document_library/get_file?uuid=1fff9401-0348-463e-8a6f-62dfd21bdfc8&groupId=10129.
dc.relation.isbasedonPAELINCK, J. Qualitative multiple criteria analysis: on application to airport location. Netherlands economic institute: paper prepared for second Tokyo environmental conference. 24p. Rotterdam, August, 1976.
dc.relation.isbasedonProject POWER [online]. Baltic offshore energy cluster, 2008 [cit. 2014-02-10]. Available from: http://www.bosec.lt/eco/eco_lt.html.
dc.relation.isbasedonSAATY, T.L. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. Mcgraw-Hill. 1980. 287 p. ISBN 978-0070543713.
dc.relation.isbasedonOZERDEM, B., OZER, S., TOSUN, M. Feasibility study of wind farms: A case study for Izmir, Turkey. Journal of Wind Engineering and Industrial Aerodynamics. 2006, Vol. 94, Iss. 10, pp. 725-743. ISSN 0167-6105.
dc.relation.isbasedonZAVADSKAS, E.K., TURSKIS, Z., TAMOSAITIENE, J. Selection of construction enterprises management strategy based on the SWOT and multi-criteria analysis. Archives of Civil and Mechanical Engineering. 2011, Vol. 11, Iss. 4, pp. 1063-1082. ISSN 1644-9665.
dc.relation.isbasedonZAVADSKAS, E.K., PELDSCHUS, F., KAKLAUSKAS, A. Multiple criteria evaluation of projects in construction. Vilnius: Technika, 1994. 226 p. ISBN 9986050464.
dc.relation.isbasedonZAMFIROIU, C.E. Selection of the investment projects “Wind farms in Romania” by using multi-criteria methods for sustainable development. 2011. Available also from: http://www.dafi.ase.ro/revista/5/Zamfiroiu%20Carmen%20Elena.pdf
dc.relation.isbasedonWINDPOWER, DVORAK, P. World Wind Energy Assn sees 1,900 GW by 2020 [online]. Windpower, Engineering and development, 2010-09-22 [cit. 2014-03-10]. Available from: http://www.windpowerengineering.com/policy/world-wind-energy-assn-sees-1900-gw-by-2020/.
dc.relation.isbasedonWELCH, J., VENKATESWARAN, A. The Dual Sustainability of Wind Energy. Renewable and Sustainable Energy Reviews. 2009, Vol. 13, Iss. 5, pp. 1121-1126. ISSN 1364-0321.
dc.relation.isbasedonVAGIONA, D.G., KARANIKOLAS, N.M. A multicriteria approach to evaluate offshore wind farms siting in Greece. Global NEST Journal. 2012, Vol. 14, Iss. 2, pp. 235-243. ISSN 1790-7632.
dc.relation.isbasedonTURSKIS, Z., ZAVADSKAS, E.K. A new fuzzy additive ratio assessment method (ARAS-F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport. 2010, Vol. 25, Iss. 4, pp. 423-432. ISSN 1648-4142.
dc.relation.isbasedonTURSKIS, Z. Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique. Baltic Journal on Sustainability. 2008, Vol. 14, Iss. 2, pp. 224-239. ISSN 2029-4913.
dc.relation.isbasedonTRIANTAPHYLLOU, E., MANN, S.H. Using the analytic hierarchy process for decision making in engineering applications: some challenges. International Journal of Industrial Engineering: Applications and Practice. 1995, Vol. 2, Iss. 1, pp. 35-44. ISSN 1072-4761.
dc.relation.isbasedonThe model for economical feasibility study of offshore wind power parks. Perspectives of Offshore Wind Energy development in marine areas of Lithuania, Poland and Russia, Lithuania. 2008. 30 p.
dc.relation.isbasedonThe European wind energy association [online]. Winds energy basics 2014 [cit. 2014-03-15]. Available from: www.ewea.org.
dc.relation.isbasedonTALINLI, I., TOPUZ, E., AYDIN, E., KABAKCI, S. [Chap.] 10, A Holistic Approach for Wind Farm Site Selection by Using FAHP. In SUVIRE, O.G. (ed.). Wind Farm – Technical Regulations, Potential Estimation and Siting Assessment. 2011. 246 p. ISBN 978-953-307-483-2.
dc.relation.isbasedonSAATY, T.L., VARGAS, L.G. Models, methods, concepts and applications of the analytic hierarchy process. Berlin Heidelberg, London: Springer, 2012. 353 p. ISBN 978-1-4614-3597-6.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectdestination attractivenessen
dc.subjectdemanden
dc.subjectV4 Group countriesen
dc.subjectSlovakiaen
dc.subject.classificationG34
dc.subject.classificationM12
dc.titleSequence determining of construction of the offshore wind farm construction applying permutation methoden
dc.typeArticleen
local.accessopen
local.citation.epage61
local.citation.spage50
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE&Men
local.relation.abbreviationE+Mcs
local.relation.issue3
local.relation.volume17
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