Analysis of scenarios for repowering wind farms in Brazil

被引:20
|
作者
de Bona, Jessica Ceolin [1 ]
Espindola Ferreira, Joao Carlos [1 ]
Ordon, Julian Fernando [1 ]
机构
[1] Univ Fed Santa Catarina, Dept Mech Engn, GRIMA, GRUCON, Caixa Postal 476, BR-88040900 Florianopolis, SC, Brazil
来源
关键词
Wind turbine; Repowering; Wind farm; Wind energy; Lifetime extension; ENERGY; POWER; GENERATION;
D O I
10.1016/j.rser.2020.110197
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to extend the useful lifetime of a wind farm, wind turbine repowering is an option. Repowering may be applied due to the turbine's aging, reduction in turbine yield or in the wind farm revenue, new technologies available or increasing operation and maintenance costs. This work seeks to identify the repowering potential in Brazil and to simulate different technical-economic scenarios to determine which parameters are more relevant for a repowering project. In the technical perspective, it was sought to analyze how the technological progress of wind turbines influences energy production, while in the economic context it was attempted to understand which financial indicators are more relevant and how they vary according to the energy selling tariff. The technical evaluation showed that repowering should focus on wind turbines with less than 2.0 MW. For wind farms with high financial incentives, a higher energy price is needed in order for the financial parameters to reach the ones from the original project. Meanwhile, wind farms that do not have such benefits, like the ones that have been built over the last years, demand lower tariffs to the repowered wind farms to become attractive. In the cases analyzed, tariffs between 23.23 US dollars (USD) and 33.56 USD showed interesting results for both situations. Energy auctions in Brazil have shown a tendency of lowering tariffs and, thus, repowering tends to become attractive soon, showing that the economic life of a wind turbine may end before its useful life.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Consolidity Analysis of Wind Turbines in Wind Farms
    Mohammed, Ibrahim R.
    Saleh, Amr A.
    Saleh, Ahmad M.
    [J]. INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2020, 10 (01): : 205 - 216
  • [22] Wind repowering: Unveiling a hidden asset
    Doukas, H.
    Arsenopoulos, A.
    Lazoglou, M.
    Nikas, A.
    Flamos, A.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 162
  • [23] Offshore wind farm repowering optimization
    Hou, Peng
    Enevoldsen, Peter
    Hu, Weihao
    Chen, Cong
    Chen, Zhe
    [J]. APPLIED ENERGY, 2017, 208 : 834 - 844
  • [24] Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas
    Zhao Wang
    Weisheng Wang
    Chun Liu
    Bo Wang
    [J]. Journal of Modern Power Systems and Clean Energy, 2020, 8 (01) : 77 - 85
  • [25] Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas
    Wang, Zhao
    Wang, Weisheng
    Liu, Chun
    Wang, Bo
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (01) : 77 - 85
  • [26] Current State and Future Prospective of Repowering Wind Turbines: An Economic Analysis
    Fuchs, Clemens
    Kasten, Joachim
    Vent, Maxi
    [J]. ENERGIES, 2020, 13 (12)
  • [27] Technology effects in repowering wind turbines
    Lacal-Arantegui, Roberto
    Uihlein, Andreas
    Maria Yusta, Jose
    [J]. WIND ENERGY, 2020, 23 (03) : 660 - 675
  • [28] Ramping Behaviour Analysis of Wind Farms
    Mishra, Sambeet
    Leinakse, Madis
    Palu, Ivo
    Kilter, Jako
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2018,
  • [29] Best practices for wind project partial repowering
    DeCristofaro, Eric
    Soderlund, Eric
    Thibodeau, Matthew
    [J]. Power, 2019, 163 (05):
  • [30] Predicting Long-Term Wind Speed in Wind Farms of Northeast Brazil: A Comparative Analysis Through Machine Learning Models
    de Paula, M.
    Colnago, M.
    Fidalgo, J.
    Casaca, W.
    [J]. IEEE LATIN AMERICA TRANSACTIONS, 2020, 18 (11) : 2011 - 2018