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A model to analyze strategic products for photovoltaic silicon thin-film solar cell power industry

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  • Lee, Amy H.I.
  • Chen, Hsing Hung
  • Kang, He-Yau

Abstract

With natural resource scarcity and environmental protection, the use of renewable energy has become a promise for offering clean and plentiful energy. Photovoltaic (PV) solar cell is one of the emerging renewable energy applications; however, it suffers a large difficulty in high production cost with low conversion efficiency currently. Hence, an urgent pressure to upgrade technology and to formulate product strategy is evident in the solar cell power industry. In order to prosper PV silicone solar cell power industry, the paper develops a conceptual model, which is composed of a fuzzy analytic network process with interpretive structural modeling and benefits, opportunities, costs and risks, to help analyze suitable strategic products. The empirical study shows that the conceptual model can effectively and precisely handle such a complicated problem and can lead to an outstanding performance result.

Suggested Citation

  • Lee, Amy H.I. & Chen, Hsing Hung & Kang, He-Yau, 2011. "A model to analyze strategic products for photovoltaic silicon thin-film solar cell power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1271-1283, February.
    • Handle: RePEc:eee:rensus:v:15:y:2011:i:2:p:1271-1283
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    3. Ren, Jingzheng & Tan, Shiyu & Goodsite, Michael Evan & Sovacool, Benjamin K. & Dong, Lichun, 2015. "Sustainability, shale gas, and energy transition in China: Assessing barriers and prioritizing strategic measures," Energy, Elsevier, vol. 84(C), pages 551-562.
    4. He-Yau Kang & Meng-Chan Hung & W. L. Pearn & Amy H. I. Lee & Mei-Sung Kang, 2011. "An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance," Energies, MDPI, vol. 4(11), pages 1-25, November.
    5. Subtil Lacerda, Juliana & van den Bergh, Jeroen C.J.M., 2016. "Diversity in solar photovoltaic energy: Implications for innovation and policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 331-340.
    6. Hasan Mahmud & Joyashree Roy, 2021. "Barriers to Overcome in Accelerating Renewable Energy Penetration in Bangladesh," Sustainability, MDPI, vol. 13(14), pages 1-28, July.
    7. Xiaolu Zhang, 2016. "New Interval-Valued Intuitionistic Fuzzy Behavioral MADM Method and Its Application in the Selection of Photovoltaic Cells," Energies, MDPI, vol. 9(10), pages 1-20, October.
    8. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    9. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    10. Amy H. I. Lee & He-Yau Kang & Chun-Yu Lin & Kuan-Chin Shen, 2015. "An Integrated Decision-Making Model for the Location of a PV Solar Plant," Sustainability, MDPI, vol. 7(10), pages 1-20, September.
    11. Amy H. I. Lee & He-Yau Kang & You-Jyun Liou, 2017. "A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection," Sustainability, MDPI, vol. 9(2), pages 1-21, January.
    12. Li, Xiao-Ya & Dong, Xin-Yu & Chen, Sha & Ye, Yan-Mei, 2024. "The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection," Renewable Energy, Elsevier, vol. 220(C).

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