Analyzing the Interaction of Renewable Energy Penetration with the Wealth of Nations Using Bayesian Nets

Mine Isik*, Özay Özaydın, Şule Önsel Ekici, Y. Ilker Topcu

*Bu çalışma için yazışmadan sorumlu yazar

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1 Atıf (Scopus)

Özet

Recently, countries are trying to improve their economies while increasing the number of positive steps they are taking against climate change and minimizing greenhouse carbon emission. However, this effort is futile unless these countries turn their attention to renewable energy sources. The shift from conventional energy to renewable energy will contribute to economic growth, employment opportunities, and human welfare while meeting climate goals in the long-term. In this study, using the data provided mainly by The World Bank (WB) and The International Renewable Energy Agency (IRENA), the authors aim to construct a Bayesian Network to analyze the interaction of renewable energy penetration with the wealth of nations. In this context, initially, the factors related to Renewable Energy will be determined, and then a Bayesian Network is going to be developed. Using multiple what-if analyses, the resulting model will act as a diagnostic tool for policymakers in their attempts to understand and manage the renewable energy system. The what-if analyses conducted from the resulting model show that if renewable energy consumption increases and fossil fuel energy consumption decreases, CO2 intensity as well as health expenditures will be expected to decrease. Similarly several other scenarios are constructed and reflected in the study.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıInternational Series in Operations Research and Management Science
YayınlayanSpringer
Sayfalar527-550
Sayfa sayısı24
DOI'lar
Yayın durumuYayınlandı - 2022

Yayın serisi

AdıInternational Series in Operations Research and Management Science
Hacim326
ISSN (Basılı)0884-8289
ISSN (Elektronik)2214-7934

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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