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A bibliometric analysis based review on wind power price

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  • Gao, Cuixia
  • Sun, Mei
  • Geng, Yong
  • Wu, Rui
  • Chen, Wei

Abstract

With the increasing negative effects of fossil fuel combustion, many countries have paid more attention on supporting environmentally friendly energy generation, particularly renewable and sustainable energy sources (RES). However, renewables still cannot economically compete with fossil-fuels and are facing new challenges. Appropriate electricity pricing mechanism plays a vital role on mitigating the stress of limited fossil fuels and can promote renewable energy consumption. As one major type of renewable energy, wind power has been globally promoted. In order to promote the application of wind power, appropriate wind power prices (WPP) should be established by considering the local conditions. This paper targets such a field and conducts a bibliometric and network analysis based on the data from Scopus. The results show that the numbers of total related publications are gradually increasing, with the US as the leading country. European countries also have outstanding achievements. Moreover, both the most cited articles and keywords distribution offer future research directions. In general, this study provides valuable insights to both wind power researchers and practitioners.

Suggested Citation

  • Gao, Cuixia & Sun, Mei & Geng, Yong & Wu, Rui & Chen, Wei, 2016. "A bibliometric analysis based review on wind power price," Applied Energy, Elsevier, vol. 182(C), pages 602-612.
  • Handle: RePEc:eee:appene:v:182:y:2016:i:c:p:602-612
    DOI: 10.1016/j.apenergy.2016.08.144
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    Cited by:

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    2. Rahim Zahedi & Alireza Zahedi & Abolfazl Ahmadi, 2022. "Strategic Study for Renewable Energy Policy, Optimizations and Sustainability in Iran," Sustainability, MDPI, vol. 14(4), pages 1-29, February.
    3. Wang, Jianzhou & Dong, Yunxuan & Zhang, Kequan & Guo, Zhenhai, 2017. "A numerical model based on prior distribution fuzzy inference and neural networks," Renewable Energy, Elsevier, vol. 112(C), pages 486-497.
    4. Qiang Zhou & Jin Pei & Josiah Poon & Alexander Y Lau & Li Zhang & Yuhua Wang & Chang Liu & Linfang Huang, 2019. "Worldwide research trends on aristolochic acids (1957–2017): Suggestions for researchers," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-23, May.
    5. Zhou, Xiaoyang & Wei, Xiaoya & Lin, Jun & Tian, Xin & Lev, Benjamin & Wang, Shouyang, 2021. "Supply chain management under carbon taxes: A review and bibliometric analysis," Omega, Elsevier, vol. 98(C).
    6. Rogério Marques & Fábio Matos Fernandes & Marcelo Santana Silva & Luís Oscar Martins & Francisco Gaudêncio Mendonça Freires, 2023. "Analysis of Competitiveness Factors of Wind Power: A Case study in the Alto Sertão Wind Complex in the State of Bahia, Brazil," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 153-169, November.
    7. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
    8. Mejia, Cristian & Kajikawa, Yuya, 2020. "Emerging topics in energy storage based on a large-scale analysis of academic articles and patents," Applied Energy, Elsevier, vol. 263(C).
    9. Tat Dat Bui & Mohd Helmi Ali & Feng Ming Tsai & Mohammad Iranmanesh & Ming-Lang Tseng & Ming K Lim, 2020. "Challenges and Trends in Sustainable Corporate Finance: A Bibliometric Systematic Review," JRFM, MDPI, vol. 13(11), pages 1-26, October.
    10. Hernández-Escobedo, Quetzalcoatl & Perea-Moreno, Alberto-Jesús & Manzano-Agugliaro, Francisco, 2018. "Wind energy research in Mexico," Renewable Energy, Elsevier, vol. 123(C), pages 719-729.

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