Uncertainty and global sensitivity analysis of levelized cost of energy in wind power generation

Wind power generation has witnessed a dramatic growth in the 21st century. The Department of Energy (DOE) had a vision for wind energy that it would change into an extensively greater part of overall power generation in the U.S. by 2050. As specified by the DOE, wind power generation has grown by trifold from 2008 to 2013. This study presents a constructible, financially feasible alternative wind tower design to the 80 m steel tower platform which has the potential to decrease the overall Levelized cost of energy (LCOE). A hexagonal concrete wind tower solution is evaluated to facilitate the fabrication of a taller wind turbine generator to harvest more powerful, stable, and frequent wind resources for elevating wind energy production to cut down the overall LCOE. Subject matter experts from the industry were benefitted from to develop a process and estimate the cost and schedule of development and assembly of this process. To mitigate uncertainties and quantify risks, a sensitivity analysis was carried out on cost and schedule estimates. Also, estimating LCOE of wind towers is a primary requirement for efficient assimilation of wind power generation in the electricity market. In the state of Iowa, wind power is rapidly becoming a significant electricity generator. Unpredictable outputs and different options for deploying wind towers are one of the major problems of power system operators. Good estimation tools are important and will be needed to integrate wind energy into the economic power plant. The other objective of this research is to propose a GIS-based map to visualize LCOE of different wind tower construction options in various locations. Therefore, wind speed GIS mapping by using weather information will be crucial. Calculation of energy output by applying wind gradient formula to wind speeds energy are performed. The research concludes of Hexcrete towers can be achieved by use of the 120m and 140 m Hexcrete tower platform on certain wind sites in the United States.

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Incidence Of Load Profiles In The Levelized Cost Of Electricity For A Wind Power Generation System Located In Lambayeque-Perú.

10.18687/laccei2021.1.1.508 ◽

2021 ◽

Author(s):

Johnny Nahui-Ortiz ◽

Amado Aguinaga ◽

Fredy Dávila ◽

Oscar Méndez

Keyword(s):

Power Generation ◽

Wind Power ◽

Wind Power Generation ◽

Generation System ◽

Levelized Cost Of Electricity ◽

Cost Of Electricity ◽

Levelized Cost ◽

Power Generation System

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Loading margin sensitivity analysis in systems with significant wind power generation penetration

Electric Power Systems Research ◽

10.1016/j.epsr.2019.105900 ◽

2019 ◽

Vol 175 ◽

pp. 105900 ◽

Cited By ~ 2

Author(s):

Jhonatan Nascimento da Costa ◽

João Alberto Passos Filho ◽

Ricardo Mota Henriques

Keyword(s):

Power Generation ◽

Sensitivity Analysis ◽

Wind Power ◽

Wind Power Generation

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Dynamic evaluation of the levelized cost of wind power generation

Energy Conversion and Management ◽

10.1016/j.enconman.2015.06.023 ◽

2015 ◽

Vol 101 ◽

pp. 721-729 ◽

Cited By ~ 11

Author(s):

Guzmán Díaz ◽

Javier Gómez-Aleixandre ◽

José Coto

Keyword(s):

Power Generation ◽

Wind Power ◽

Wind Power Generation ◽

Dynamic Evaluation ◽

Levelized Cost

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Sensitivity Analysis and Design Optimization of a New Hybrid-Excited Dual-PM Generator With Relieving-DC-Saturation Structure for Stand-Alone Wind Power Generation

IEEE Transactions on Magnetics ◽

10.1109/tmag.2019.2951078 ◽

2020 ◽

Vol 56 (1) ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Xing Zhao ◽

Shuangxia Niu ◽

Weinong Fu

Keyword(s):

Power Generation ◽

Sensitivity Analysis ◽

Design Optimization ◽

Wind Power ◽

Wind Power Generation ◽

Analysis And Design

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Electric power generation in wind farms with pumping kites: levelized cost of energy and sensitivity analysis

Research Society and Development ◽

10.33448/rsd-v9i7.4528 ◽

2020 ◽

Vol 9 (7) ◽

pp. e666974528

Author(s):

Anny Key de Souza Mendonça ◽

Antonio Cezar Bornia

Keyword(s):

Power Generation ◽

Sensitivity Analysis ◽

High Altitude ◽

Electric Power ◽

Energy Cost ◽

Wind Farm ◽

Wind Farms ◽

Level Energy ◽

Levelized Cost ◽

Cost Of Energy

This research aims to analyze the levelized level energy cost of energy (LCOE) of wind farms with tethered airfoils. For this, it was considering the technical characteristics of the system, the location of operation, the necessary investments and the characteristics of the Brazilian market, to analyze the levelized cost of energy of three wind farm scenarios: Classic wind farm, Wind farm with tethered airfoils operating in Pumping Kite mode and a hybrid park with the two park configurations studied. The research makes use of the LCOE method. The results indicate that the technology with wired airfoils requires less investment and that wind farms with this technology can generate more energy than a classic wind farm of the same nominal power, since the wired airfoils can exploit high altitude winds, where they are more frequent and strong. The results also indicate that wind farms with wired airfoils are not only economically viable, but produce energy at a level cost, well below the values currently practiced for the sale of energy in the domestic market.

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