m. Dereceden Cebir Üzerine Bir Not

Akpınar, Atilla; Erdoğan, Fatma Özen

doi:10.17798/bitlisfen.454668

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…Similar to the Mediterranean, the Black Sea is an enclosed basin with high wind and surrounding coastlines, posing a difficult and interesting case. The interest for wave energy resource and potential utilisation has increased with increasing numbers of studies delivering resource and climate maps [128,131,61,133] for the Black Sea. Starting with Cherneva et.al.…”

Section: Model Applicationmentioning

confidence: 99%

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Application of numerical wave models at European coastlines: A review

Lavidas

Venugopal

2018

Renewable and Sustainable Energy Reviews

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Significant advancements have been made in the past few decades (since the 1980s) on detailed evaluation and quantification of wave resources globally. Larger availability and advances of computational resources have contributed to the utilisation of numerical wave models as powerful tools in climatic and energy studies. This review presents current state-of-the-art numerical tools and their status in the process of wave power assessments. We focus on the evolution of studies undertaken at the European coastline regions and the Black Sea.Although, a number of studies have been successfully developed and implemented in the past contributing to our understanding of the resource, this paper discusses the benefits, limitations and potential for improvement of numerical tools. From the literature, it is evident that different applications and scale may require different models, however, it is also the experience and knowledge of the user, applied in the tuning of a number of parameters that govern the process of wave generation, propagation, and the quality of input parameters that are the cornerstones of a successful model. This review depicted that the use of numerical wave models, depending on specific region and application, offers significant benefits on quantification of coastal zone wave resources which benefit multiple offshore applications and the energy industry.

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Section: Model Applicationmentioning

confidence: 99%

“…Akpinar et.al. [131] utilised the SWAN nearshore model to produce highly spatio-temporal databases of wave power spanning for a period of 15 years. Aydogan et.al.…”

Section: Model Applicationmentioning

confidence: 99%

Application of numerical wave models at European coastlines: A review

Lavidas

Venugopal

2018

Renewable and Sustainable Energy Reviews

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“…WEDI Locations for 35 yearsWEDI takes into account the maximum extreme (storm) values of power and assigns a corresponding level index that can be translated into potential increase/decrease of maintenance and operation[53,54]. The higher the WEDI then locations will potentially require more capital expenditure for infrastructure.…”

mentioning

confidence: 99%

A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea

Lavidas

Venugopal

2017

Renewable Energy

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The study enhances the coastal resource knowledge and discusses opportunities for wave energy in the Aegean Sea. A fine-resolution numerical wave model is utilised to provide results for the Greek coastal regions. The model ran for 35 years (1980-2014) estimating wave characteristics, and quantifying the wave energy potential in coastal areas. The results deliver the energy potential, variability, and site characterisation for the Aegean Sea. The dataset is coupled with wave energy converters power matrices to provide for the first time a long-term analysis of expected power production. Performance of devices is highly dependent on matching the power matrix to the local resource, suitable devices can obtain capacity factor up to 20% and favour operation for low wave heights and high frequencies. Based on energy analysis data, an economic performance and payback period of a hypothetical wave farm is examined. With little information on wave energy in the region, this preliminary cost-to-benefit analysis shows the viability of wave converters. Even with high capital expenditure associated with novel technologies, certain scenarios achieve amortisation periods at 7.5 years for a properly selected converter. Results are comparable with previous renewable schemes aimed at increasing the cumulative installation of other early stage technologies.

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m. Dereceden Cebir Üzerine Bir Not

Cited by 2 publications

References 16 publications

Application of numerical wave models at European coastlines: A review

Application of numerical wave models at European coastlines: A review

A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea

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