Strategic analysis of solar energy pricing process with hesitant fuzzy cognitive map

Veysel Çoban*, Sezi Çevik Onar

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2 Atıf (Scopus)

Özet

Sun is the leading renewable energy source for satisfying energy demand. Solar energy systems, which have direct and indirect energy generation technologies, require high initial costs and low operation costs. The right determination of solar energy price has an important role on efficient solar energy investment decisions. In this study, the critical factors for the solar energy price are defined and the causal relationships among them are represented with a Hesitant Fuzzy Cognitive Map (HFCM) model. The causal relations among the factors and the initial state values of the factors are defined with the linguistic evaluations of the experts by using Hesitant Fuzzy Linguistic Term Sets (HFLTSs). The linguistic expressions are converted into Trapezoid Fuzzy Membership Functions (TFMFs). The obtained HFCM model is used for simulating various scenarios, and the equilibrium state values of the factors are obtained. The results indicate that the factors affecting solar energy systems have an important effect in determining the solar energy price. The solar energy price adapts to the general energy price market in the long term.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıStudies in Systems, Decision and Control
YayınlayanSpringer International Publishing
Sayfalar195-227
Sayfa sayısı33
DOI'lar
Yayın durumuYayınlandı - 2018

Yayın serisi

AdıStudies in Systems, Decision and Control
Hacim149
ISSN (Basılı)2198-4182
ISSN (Elektronik)2198-4190

Bibliyografik not

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.

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