scholarly journals Optimum Renewable Energy Investment Planning in Terms of Current Deficit: Turkey Model

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1509 ◽  
Author(s):  
Sinem Yapar Saçık ◽  
Nihal Yokuş ◽  
Mehmet Alagöz ◽  
Turgut Yokuş

In this study, a methodology was suggested for wind and solar energy investment plans through linear optimization model for the countries with an energy-based current deficit problem. The originality of the study is that it is a renewable energy investment model based on the functioning of the balance of payments for current deficit reduction, which has not previously been encountered in the literature. While creating the model, without causing external economic imbalance, certain parameters were taken into consideration such as profit transfers for the foreign direct investments, interest payments for the domestic investments, import rates for the wind and solar energy systems, energy electric power production values, electric power load balance, electricity transmission infrastructure, CO2 emission, future electric power demand projection, and import source rates in the electric power production. It was proven that the model, for the 2019–2030 period in Turkey, not only is an opportunity for decreasing the current deficit but also ensures reaching the CO2 emission reduction target. Additionally, through the investments in wind and solar energy, it was calculated that fossil-based electric power production will decrease by 80%, and a CO2 reduction will be provided, which is equivalent of 100 million tonnes GWh natural gas. As a more general result, an optimization model was created which provides a solution for countries coping with energy-based current deficit in economic terms, energy-based air pollution in environmental terms, and renewable energy technology insufficiency.

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6915
Author(s):  
Seung-Mo Je ◽  
Hyeyoung Ko ◽  
Jun-Ho Huh

This paper has tried to execute accurate demand forecasting by utilizing big data visualization and proposes a flexible and balanced electric power production big data virtualization based on a photovoltaic power plant. First of all, this paper has tried to align electricity demand and supply as much as possible using big data. Second, by using big data to predict the supply of new renewable energy, an attempt was made to incorporate new and renewable energy into the current power supply system and to recommend an efficient energy distribution method. The first presented problem that had to be solved was the improvement in the accuracy of the existing electricity demand for forecasting models. This was explained through the relationship between the power demand and the number of specific words in the paper that use crawling by utilizing big data. The next problem arose because the current electricity production and supply system stores the amount of new renewable energy by changing the form of energy that is produced through ESS or that is pumped through water power generation without taking the amount of new renewable energy that is generated from sources such as thermal power, nuclear power, and hydropower into consideration. This occurs due to the difficulty of predicting power production using new renewable energy and the absence of a prediction system, which is a problem due to the inefficiency of changing energy types. Therefore, using game theory, the theoretical foundation of a power demand forecasting model based on big data-based renewable energy production forecasting was prepared.


Author(s):  
Jeffrey John R. Yasay

This review paper discusses renewable energy, specifically solar photovoltaic (PV) energy, which provides benefits in selecting the proper technology for campuses. This study aims to direct scholarly attention to the processes that underpin strategic renewable energy investment decisions, as well as how these decisions are influenced by national energy policy. It discusses three (3) common PV technologies that could be adopted by universities and colleges in support of the renewable energy in the Philippines. Different benefits and drawbacks in using solar energy were also discussed. The proposed approach framework was presented. Finally, the status of solar energy in the Philippines and the innovative initiatives of higher education institutions in the Philippines were highlighted.


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