The levelized cost of energy (LCOE) has been widely used as a criterion for the comparison of electrical energy supply options from different sources of energy, generally in the comparison of a renewable energy source against the conventional way of obtaining the same electrical energy from a fossil source. Also, LCOE is used as a criterion for making investment decisions in the expansion of coverage of the electricity service. This research estimates LCOE using historical prices and costs. For the research, a Black Sea farm with 72 wind turbines was used. The Siemens Gamesa SWT-8.4-167 wind turbine power curve data model and observed wind data were used to predict energy production at this location. The analysis also considers water depth, grid connection expenses, equipment costs, operating and maintenance costs, and other wind farm lifecycle costs. This study excludes some financial parameters, incentives, taxes, fiscal policies, and even some basic accounting concepts, which affect their accuracy and uncertainty.

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Inference of the Levelized Cost of Energy for a Future Offshore Wind Farm Located in the Western Area of the Black Sea

  • Marius Manolache,
  • Alexandra-Ionelia Manolache,
  • Gabriel Andrei

摘要

The levelized cost of energy (LCOE) has been widely used as a criterion for the comparison of electrical energy supply options from different sources of energy, generally in the comparison of a renewable energy source against the conventional way of obtaining the same electrical energy from a fossil source. Also, LCOE is used as a criterion for making investment decisions in the expansion of coverage of the electricity service. This research estimates LCOE using historical prices and costs. For the research, a Black Sea farm with 72 wind turbines was used. The Siemens Gamesa SWT-8.4-167 wind turbine power curve data model and observed wind data were used to predict energy production at this location. The analysis also considers water depth, grid connection expenses, equipment costs, operating and maintenance costs, and other wind farm lifecycle costs. This study excludes some financial parameters, incentives, taxes, fiscal policies, and even some basic accounting concepts, which affect their accuracy and uncertainty.