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Dergiler / PressAcademia Procedia / 2017 / Cilt: 5 - Sayı: 1

INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS

Sezi Cevik Onar
Basar Oztaysi
Cengiz Kahraman
Sayfa
341–349
Yayın Tarihi
2017-06-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

An application of solar energy technology selection is also presented through the proposed method.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Solar energy technologies are mainly composed of photovoltaics and concentrated solar power (solar thermal) technologies.
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Temel Bulgular & Veri:Photovoltaic technology converts sunlight into electricity directly whereas solar thermal technology utilizes its heat.
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Sonuç & Katkı:An application of solar energy technology selection is also presented through the proposed method.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Solar energy · innovative technology · fuzzy

Abstract

Solar energy technologies are mainly composed of photovoltaics and concentrated solar power (solar thermal) technologies. Photovoltaic technology converts sunlight into electricity directly whereas solar thermal technology utilizes its heat. Innovative solar energy technologies appear in the market relatively more often than other energy technologies. Selection among these innovative solar energy technologies is a multi-criteria decision making problem under uncertain environment conditions. Intuitionistic fuzzy sets provide an efficient way of capturing uncertainty by processing both membership and non-membership degrees in a set, whose sum of these degrees is not necessarily equal to one. In this paper, we use an interval-valued intuitionistic fuzzy AHP method for the multi-criteria evaluation of some innovative solar energy technologies. An application of solar energy technology selection is also presented through the proposed method.

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Bu Makaleye Atıf Yap

Onar, S. C., Oztaysi, B., Kahraman, C. (2017). INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS. PressAcademia Procedia, Cilt: 5 - Sayı: 1, 341–349. https://ajindex.com/articles/842640

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Kaynakça (4)

  1. Atanassov K.T. (1986),
  2. Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, 20, 87-96, Elsevier. U.S. Department of Energy Energy Efficiency and Renewable Energy. (n.d.). The History of Solar. Renewable Energy Policy Network for the 21st Century. (2015). Renewables 2015, Global Status Report. Paris. U.S. Department of Energy Energy Efficiency and Renewable Energy. (n.d.). The History of Solar. Arvizu, D., Balaya, P., Luisa, C. F., Hollands, K. T., Jager-Walnau, A., Kondo, M.,. Zilles, R. (2011). Special Report on Renewable Energy Resources and Climate Change Mitigation. Intergovernmental Panel on Climate Change. Cambridge University Press.
  3. Barlev, D., Vidu, R., & Stroeve, P. (2011, May). Innovation in concentrated solar power. Solar Energy Materials & Solar Cells, 95, 2703-2725.
  4. Wu, J., Huang, H.-B., and Cao,Q.-W. (2013). Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems, Applied Mathematical Modelling, 37, 9898–9906.