### Abstract

With the aim of reducing green gas emission, wind turbine installations worldwide have grown rapidly in recent years. Wind energy itself is free, but has costs due to the wind turbine infrastructure and maintenance. The installation size of the wind turbine at a specific location is not only determined by the wind statistics at that location, but also by the turbine infrastructure and the maintenance cost. The payback time of the turbine is determined by the turbine cost of energy (COE). In this paper, a mathematical approach is proposed to minimize the turbine cost of energy based on wind statistics. Turbine annual energy production (AEP) is calculated based on turbine output power and annual wind speed distribution. A wind turbine cost model developed by U.S. National Renewable Energy Laboratory (NREL) is used for turbine cost analysis. The turbine cost of energy model includes the turbine rated power and the turbine rated wind speed. Finally a general guideline to minimize the turbine COE is presented. Three case studies are conducted to show the effectiveness of the proposed approach.

Original language | English (US) |
---|---|

Pages (from-to) | 1413-1422 |

Number of pages | 10 |

Journal | Applied Energy |

Volume | 228 |

DOIs | |

State | Published - Oct 15 2018 |

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### Keywords

- Turbine cost of energy
- Turbine energy production
- Turbine optimization
- Wind energy economic analysis
- Wind turbine design

### Cite this

*Applied Energy*,

*228*, 1413-1422. https://doi.org/10.1016/j.apenergy.2018.06.150

**A mathematical approach to minimizing the cost of energy for large utility wind turbines.** / Chen, Jincheng; Wang, Feng; Stelson, Kim A.

Research output: Contribution to journal › Article

*Applied Energy*, vol. 228, pp. 1413-1422. https://doi.org/10.1016/j.apenergy.2018.06.150

}

TY - JOUR

T1 - A mathematical approach to minimizing the cost of energy for large utility wind turbines

AU - Chen, Jincheng

AU - Wang, Feng

AU - Stelson, Kim A

PY - 2018/10/15

Y1 - 2018/10/15

N2 - With the aim of reducing green gas emission, wind turbine installations worldwide have grown rapidly in recent years. Wind energy itself is free, but has costs due to the wind turbine infrastructure and maintenance. The installation size of the wind turbine at a specific location is not only determined by the wind statistics at that location, but also by the turbine infrastructure and the maintenance cost. The payback time of the turbine is determined by the turbine cost of energy (COE). In this paper, a mathematical approach is proposed to minimize the turbine cost of energy based on wind statistics. Turbine annual energy production (AEP) is calculated based on turbine output power and annual wind speed distribution. A wind turbine cost model developed by U.S. National Renewable Energy Laboratory (NREL) is used for turbine cost analysis. The turbine cost of energy model includes the turbine rated power and the turbine rated wind speed. Finally a general guideline to minimize the turbine COE is presented. Three case studies are conducted to show the effectiveness of the proposed approach.

AB - With the aim of reducing green gas emission, wind turbine installations worldwide have grown rapidly in recent years. Wind energy itself is free, but has costs due to the wind turbine infrastructure and maintenance. The installation size of the wind turbine at a specific location is not only determined by the wind statistics at that location, but also by the turbine infrastructure and the maintenance cost. The payback time of the turbine is determined by the turbine cost of energy (COE). In this paper, a mathematical approach is proposed to minimize the turbine cost of energy based on wind statistics. Turbine annual energy production (AEP) is calculated based on turbine output power and annual wind speed distribution. A wind turbine cost model developed by U.S. National Renewable Energy Laboratory (NREL) is used for turbine cost analysis. The turbine cost of energy model includes the turbine rated power and the turbine rated wind speed. Finally a general guideline to minimize the turbine COE is presented. Three case studies are conducted to show the effectiveness of the proposed approach.

KW - Turbine cost of energy

KW - Turbine energy production

KW - Turbine optimization

KW - Wind energy economic analysis

KW - Wind turbine design

UR - http://www.scopus.com/inward/record.url?scp=85049619170&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049619170&partnerID=8YFLogxK

U2 - 10.1016/j.apenergy.2018.06.150

DO - 10.1016/j.apenergy.2018.06.150

M3 - Article

AN - SCOPUS:85049619170

VL - 228

SP - 1413

EP - 1422

JO - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -