A comprehensive insight into tidal stream energy farms in Iran

Radfar, Soheil; Panahi, Roozbeh; Javaherchi, Teymour; Filom, Siyavash; Mazyaki, Ahmad Rezaee

doi:10.1016/j.rser.2017.05.037

Cited by 24 publications

(21 citation statements)

References 30 publications

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“…where an average power of 15.8 MW could be generated [90]. Furthermore, the islands of Hengam and Greater Tunb are suitable sites for the construction of a commercial scale tidal farm [100].…”

Section: Discussionmentioning

confidence: 99%

“…Reporting Khowr-e Musa in the Persian Gulf and Chabahar Bay in the Gulf of Oman as the best sites for wave energy extraction Radfar et al [100] Persian Gulf and Gulf of Oman Suggesting Hengam and Greater-Tunb zones with high potentials for implementation of a commercial scale tidal turbine installations Aslani et al [101] Persian Gulf Offering Doragh estuary as a suitable area to generate electricity by constructing barrages…”

Section: Abbaspour Andmentioning

confidence: 99%

“…In this figure, P abs , H s , D, d, cc and hc are absorbed power, significant wave height, point absorber diameter, draft, cone-cylinder and hemisphere-cylinder,respectively. It can be deduced that a considerable amount of wave energy may be harnessed at these sites.The numerical simulations for three potential tidal sites in the Persian Gulf and the Oman Sea:Khowran Strait, Hengam Island and Greater-Tunb Island were carried out by Radfar et al[100].…”

mentioning

confidence: 99%

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Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy

Khojasteh

Kamali

et al. 2018

Renewable and Sustainable Energy Reviews

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A growing world population and socioeconomic development are at the root of an ever-increasing energy demand throughout the world. Much of this demand is met by means of fossil fuels, leading to greenhouse gas emissions and climate change-hence the need for increasing the share of renewable energy sources in the global energy mix. Marine energy is a reliable, high-density source of energy with limited environmental impacts. Iran, with its long coastline, growing population, increasing energy demands and extreme air pollution, has a great potential for the

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Section: Discussionmentioning

confidence: 99%

Section: Abbaspour Andmentioning

confidence: 99%

mentioning

confidence: 99%

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Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy

Khojasteh

Kamali

et al. 2018

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…The situation compelled energy policymakers to move toward renewable energies in the country [7]. The average growth rate of energy consumption and generation in Iran is 4% and 2%, respectively and therefore, it is expected that Iran increasingly will need to provide a great share of its energy demand from renewable energy sources in years ahead, to meet future rising energy demand [9]. As set out in the 6 th national development plan of the country, the Iranian government has the target of extracting 5000 MW from renewable energy resources by 2020 [10].…”

Section: Wind Energy In Iranmentioning

confidence: 99%

A Comparative Study of Different Wind Speed Distribution Models for Accurate Evaluation of Onshore Wind Energy Potential: A Case Study on the Southern Coasts of Iran

Filom¹,

Radfar²,

Panahi³

2020

Preprint

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Wind power output is highly dependent on the wind speed at the selected site, therefore wind-speed distribution modeling is the most important step in the assessment of wind energy potential. This study aims at accurate evaluation of onshore wind energy potential in seven coastal cities in the south of Iran. Six Probability Distribution Functions (PDFs) were examined over representative stations. It has been deduced that the Weibull function, which was the most used PDF in similar studies, was only applicable to one station. Here, Gamma offered the best fit for three stations and for the other ones, Generalized Extreme Value (GEV) performed better. Considering the ranking of six examined PDFs and the simplicity of Gamma, it was identified as the effective function in the southern coasts of Iran bearing in mind the geographic distribution of stations. Besides, six turbine power curve functions were contributed to investigate the capacity factor. That was very important, as using only one function could cause under- or over-estimation. Then, stations were classified based on the National Renewable Energy Laboratory system. Last but not least, examining a range of wind turbines enabled scholars to extend this study into the practice and prioritize development of stations considering budget limits.

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“…al. [5] utilized the technique for mapping of tidal stream energy resources in the southern coasts of Iran. Their are used as input of this study.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Methodology for Simple Optimization of Marine Hydrokinetic Turbine Array

Radfar¹,

Panahi²

2020

Preprint

Self Cite

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Tidal stream energy, due to its high level of consistency and predictability, is one of the feasible and promising type of renewable energy for future development and investment. Applicability of Blade Element Momentum (BEM) method for modeling the interaction of turbines in tidal arrays has been proven in many studies. Apart from its well-known capabilities, yet there is scarcity of research using BEM for the modeling of tidal stream energy farms considering full scale rotors. In this paper, a real geographical site for developing a tidal farm in the southern coasts of Iran is selected. Then, a numerical methodology is validated and calibrated for the selected farm by analyzing array of turbines. A linear equation is proposed to calculate tidal power of marine hydrokinetic turbines. This methodology narrows down the wide range of turbine array configurations, reduces the cost of optimization and focuses on estimating best turbine arrangements in a limited number of positions.

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A comprehensive insight into tidal stream energy farms in Iran

Cited by 24 publications

References 30 publications

Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy

Assessment of renewable energy resources in Iran; with a focus on wave and tidal energy

A Comparative Study of Different Wind Speed Distribution Models for Accurate Evaluation of Onshore Wind Energy Potential: A Case Study on the Southern Coasts of Iran

A Numerical Methodology for Simple Optimization of Marine Hydrokinetic Turbine Array

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