Impact of electrical topology, capacity factor and line length on economic performance of offshore wind investments

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dc.contributor.author Kucuksari, Sadik
dc.contributor.author Erdogan, Nuh
dc.contributor.author Cali, Umit
dc.date.accessioned 2019-09-19T14:05:11Z
dc.date.available 2019-09-19T14:05:11Z
dc.date.issued 2019-08-20
dc.identifier.citation Kucuksari, S., Erdogan, N. and Cali, U. (2019) 'Impact of Electrical Topology, Capacity Factor and Line Length on Economic Performance of Offshore Wind Investments', Energies, 12(16), 3191 (21 pp). doi: 10.3390/en12163191 en
dc.identifier.volume 12 en
dc.identifier.issued 16 en
dc.identifier.startpage 1 en
dc.identifier.endpage 21 en
dc.identifier.issn 1996-1073
dc.identifier.uri http://hdl.handle.net/10468/8580
dc.identifier.doi 10.3390/en12163191 en
dc.description.abstract In this study, an economic performance assessment of offshore wind investments is investigated through electrical topology, capacity factor and line length. First, annual energy yield production and electrical system losses for AC and DC offshore wind configurations are estimated by using Weibull probability distributions of wind speed. A cost model for calculating core energy economic metrics for offshore wind environment is developed by using a discount cash flow analysis. A case study is then conducted for a projected offshore wind farm (OWF) rated 100 MW and 300 MW sizes situated in the Aegean sea. Finally, a sensitivity analysis is performed for AC and DC OWFs with three different capacity factors (e.g., 45%, 55% and 60%) and various transmission line lengths ranging from 20 km to 120 km. The OWF is found to be economically viable for both AC and DC configurations with the estimated levelized cost of electricity (LCOE) ranging from 88.34 $/MWh to 113.76 $/MWh and from 97.61 $/MWh to 126.60 $/MWh, respectively. LCOEs for both options slightly change even though the wind farm size was increased three-fold. The sensitivity analysis reveals that, for further offshore locations with higher capacity factors, the superiority of AC configuration over the DC option in terms of LCOE reduces while the advantage of DC configuration over the AC option in terms of electrical losses is significant. Losses in the AC and DC configurations range from 3.75% to 5.86% and 3.75% to 5.34%, respectively, while LCOEs vary between 59.90 $/MWh and 113.76 $/MWh for the AC configuration and 66.21 $/MWh and 124.15 $/MWh for the DC configuration. Capacity factor was found to be more sensitive in LCOE estimation compared to transmission line length while line length is more sensitive in losses estimation compared to capacity factor. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI en
dc.relation.uri https://www.mdpi.com/1996-1073/12/16/3191
dc.rights © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Cost-benefit analysis en
dc.subject DC collection en
dc.subject Energy economics en
dc.subject HVDC en
dc.subject HVAC en
dc.subject Levelized cost of electricity (LCOE) en
dc.subject Offshore wind en
dc.title Impact of electrical topology, capacity factor and line length on economic performance of offshore wind investments 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 2019-09-19T13:59:42Z
dc.description.version Published Version en
dc.internal.rssid 499775592
dc.description.status Peer reviewed en
dc.identifier.journaltitle Energies en
dc.internal.copyrightchecked No
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress nuh.erdogan@ucc.ie en
dc.identifier.articleid 3191 en


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Except where otherwise noted, this item's license is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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