Techno-economic analysis of high potential offshore wind farm locations in Turkey

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dc.contributor.author Cali, Umit
dc.contributor.author Erdogan, Nuh
dc.contributor.author Kucuksari, Sadik
dc.contributor.author Argin, Mehmet
dc.date.accessioned 2018-12-06T11:35:58Z
dc.date.available 2018-12-06T11:35:58Z
dc.date.issued 2018-11-02
dc.identifier.citation Cali, U., Erdogan, N., Kucuksari, S. and Argin, M. (2018) 'Techno-economic analysis of high potential offshore wind farm locations in Turkey', Energy Strategy Reviews, 22, pp. 325-336. doi: 10.1016/j.esr.2018.10.007 en
dc.identifier.volume 22 en
dc.identifier.startpage 325 en
dc.identifier.endpage 336 en
dc.identifier.issn 2211-467X
dc.identifier.uri http://hdl.handle.net/10468/7179
dc.identifier.doi 10.1016/j.esr.2018.10.007
dc.description.abstract The wind energy market is rapidly growing in Turkey which made it one of the top three countries in Europe, and the seventh in the world, in terms of wind power capacity addition in 2016. Turkey has high onshore and offshore wind power potential which is widely distributed across the country. However, there has been no offshore wind farm (OWF) in operation in Turkey. This paper performs a comprehensive techno-economic analysis of OWF projects in three of the most promising wind locations (namely, Bozcaada, Gokceada, and Bandirma). The optimal OWF sites are selected by applying a multi-criteria site selection method to Turkey's coastal regions. Technical analysis consists of annual energy production estimation using the Virtual Wind Farm model and development of various electrical system design topologies for the proposed OWF projects. A detailed economic feasibility analysis is then conducted using a discounted cash flow economic model that considers current Turkish renewable energy support schemes under various discount rates. Taking the OWF investor's perspective, this study accounts for the key economic indicators which are used in the decision-making processes. The results of various model runs are compared to determine the best options for the proposed OWF investments to be profitable. It is shown that the proposed OWF projects are economically feasible only in the case of meeting certain techno-economic conditions. The radial electrical design is proved to be the most cost-effective option. Among the proposed projects, the Bozcaada OWF appears to be the best investment option with a levelized cost of electricity (LCOE) of $81.85–109.55 per MWh while the Bandirma OWF is the least economically viable with an LCOE of $100.73–135.97 per MWh. The findings are extrapolated to suggest feasible recommendations for the investors and policy makers which will help to shape the offshore wind energy outlook of Turkey. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S2211467X1830097X
dc.rights © 2018 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Feasibility en
dc.subject Levelized cost of electricity en
dc.subject Offshore wind power en
dc.subject Site selection en
dc.subject Turkey en
dc.title Techno-economic analysis of high potential offshore wind farm locations in Turkey en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Nuh Erdogan, Environmental Research Institute, University College Cork, Cork, Ireland. +353-21-490-3000 Email: nuh.erdogan@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2018-12-06T11:31:41Z
dc.description.version Accepted Version en
dc.internal.rssid 464552852
dc.description.status Peer reviewed en
dc.identifier.journaltitle Energy Strategy Reviews en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress nuh.erdogan@ucc.ie en


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© 2018 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license Except where otherwise noted, this item's license is described as © 2018 Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
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