Hydropower–water and renewable energy in Turkey: Sources and policy

Öztürk, Murat; Bezir, Nalan Çiçek; Özek, Nuri

doi:10.1016/j.rser.2007.11.008

Cited by 53 publications

(14 citation statements)

References 14 publications

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“…In this statistical analysis, all the mentioned models were presented for six year in Tables (1)(2)(3)(4)(5)(6), respectively. In general, it was shown that the proposed new models gave better results than other mentioned models for all years.…”

Section: Resultsmentioning

confidence: 99%

A new model for predicting the global solar radiation

Kaplan

2017

Env Prog and Sustain Energy

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In recent years, there has been an increasing demand for renewable energy due to the population growth and decline in fossil energy resources as well as the developing technology. Solar energy is the most important renewable energy source and the global solar radiation is the primary variable for evaluating solar energy systems. The main subject of this study is to show that there is enough solar energy potential in Turkey with using global solar radiation data of chosen region where is between Adana and Mersin cities. The new solar radiation models of selected region were developed with determining Angstrom coefficients and obtained results of new developed models were compared some models in the literature. In this study, the global radiation model correlations which were developed for Turkey and some other countries were investigated for selected region. The compatibility of some models in literature were tested by determining the nearest model to measured data. In addition to that climate data of selected region, four different new models were developed and brought into the literature. The performance of these proposed models has been examined at different regions. To comparative the efficiency of all used models the following statistical indicators were used: the percentage of the relative error, mean percentage error, analysis of variance, mean absolute percentage error, the squared relative error, total relative standard error, and T‐statistic. The obtained results reveal that the new proposed models gives very appropriate results for solar radiation estimation in selected region. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 870–880, 2018

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Section: Resultsmentioning

confidence: 99%

A new model for predicting the global solar radiation

Kaplan

2017

Env Prog and Sustain Energy

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“…Besides, investments in infrastructure (access roads, dams and canals), communications and skill building in large projects can support regional economic development [31]. Other benefits of hydropower include irrigation and flood control [32,33]. As a mature power generation technology, hydropower accounts for 16.3% of power generation worldwide [1] and Chinese hydropower development is primarily driven by market demand and strategic promotion.…”

Section: Factors Analysis Of Sustainable Hydropower Developmentmentioning

confidence: 99%

Quantitative Evaluation of the Sustainable Development Capacity of Hydropower in China Based on Information Entropy

Liang

2018

Sustainability

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A sustainable hydropower development was developed by using the information entropy and the Brusselator principle and was applied to the hydropower data of China. Macro social economic and ecological environmental viewpoints were taken into account. The entropy change of each subsystem in a calendar year is analyzed to evaluate Chinese sustainable development capacity. It is found that the established model can effectively reflect the actual changes of sustainable development levels through the entropy change reaction system. Meanwhile, this model can demonstrate clearly how those indicators impact on the sustainable hydropower development and fill the absence of existing studies on sustainable hydropower development.

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“…There is a substantial number of papers aimed at the assessment of the potential of RES on a given territory: theoretical (rough estimation of the total energy that can be potentially harvested from a given territory-without consideration of geographical and technical limitations) [10][11][12][13][14][15][16][17][18]; geographical (inclusion of the land restrictions to the calculation of RES potential) [19][20][21][22][23][24][25]; technical (assessment of the energy that can be potentially harvested from a given area within the existing technological restrictions) [11][12][13][14]19,20,26,27]; and economical (assessment of economical rationality for RES usage at a given territory in comparison to alternative electricity supply mechanisms) [11,12,19].…”

Section: Introductionmentioning

confidence: 99%

Clean Energy Sources: Insights from Russia

et al. 2019

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The paper is devoted to the assessment of the prospects of implementing clean energy sources in Russia, where the current energy policy goal is to increase the role of renewable and clean energy sources. The research is based on data from the Krasnoyarsk Region as one of the largest territories but also as a representative model of Russia. The aim of the study is to identify where and which renewable energy source (solar, wind, hydro and nuclear) has the highest potential. The novelty of our research lies in its holistic nature: authors consider both geographical and technical potential for renewable energy sources development as well as prospective demand for such resources, while previous research is mostly focused on specific aspects of renewable energy development. We also consider the level of air pollution as an important factor for the development of renewable energy sources. The results of the study show that there is a strong potential for clean energy sources in the Krasnoyarsk Region. The resulting matrix identifies the potential of energy sources across all the municipal entities and also indicates whether the source of energy is primary or supplemental and where several sources may be implemented in cooperation.

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Hydropower–water and renewable energy in Turkey: Sources and policy

Cited by 53 publications

References 14 publications

A new model for predicting the global solar radiation

A new model for predicting the global solar radiation

Quantitative Evaluation of the Sustainable Development Capacity of Hydropower in China Based on Information Entropy

Clean Energy Sources: Insights from Russia

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