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.

Highlights

  • Technological developments and changes in lifestyles have driven significantly the increase in energy usage worldwide

  • Another study on optimizing offshore wind farm (OWF) design and reducing cost is presented in Reference [26], in which different turbine foundations, alternating current (AC) collection and high voltage direct current (HVDC) transmission for OWFs are considered in a sensitivity analysis

  • The results reveal that the levelized cost of electricity (LCOE) deviates from 88.34 $/MWh (AC 100 MW with 6 % discount rate) to 126.60 $/MWh (DC 100 MW with 10 % discount rate) depending on the electrical topology, interest rates and wind farm size

Read more

Summary

Introduction

Technological developments and changes in lifestyles have driven significantly the increase in energy usage worldwide. A detailed cost analysis is needed for both complete AC and DC collection and transmission systems since the cost depends on various parameters such as rated power, wind capacity factor, losses, distance from the shore and so forth [5,12]. Another study on optimizing OWF design and reducing cost is presented in Reference [26], in which different turbine foundations, AC collection and HVDC transmission for OWFs are considered in a sensitivity analysis. Considering the Weibull probability distribution function for wind speed, annual energy yield and the losses of OWF electrical system components are estimated in detail and included in cost calculations Energy economics metrics such as LCOE, net present value (NPV) and discounted pay-back period (DPBP) are calculated using a discounted cash flow analysis.

Description of Electrical Topologies Considered
AC Offshore Wind Energy System
DC Offshore Wind Energy System
Electrical Design for Offshore Wind Farm Collection System
Annual Energy Yield and Electrical Losses Estimation
Power Electronics Losses
Transformer Losses
Collection and Transmission Lines Losses
Annual Energy Losses
Major Investment Indicators Considered For Economic Assessment
Cost Calculation for AC and DC Offshore Wind Energy Projects
Wind Turbine Cost
Support System Cost
Electrical System Cost
Losses Assessment
Economic Assessment
Sensitivity Analysis
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.