Marine current energy estimation using the generalized gamma distribution: a case study for the upper layer of the Dardanelles Strait

Ismail Can Ulusoy; Tarkan Erdik

doi:10.1007/s40722-021-00210-1

Marine current energy estimation using the generalized gamma distribution: a case study for the upper layer of the Dardanelles Strait

Ismail Can Ulusoy^*, Tarkan Erdik

^*Corresponding author for this work

Department of Civil Engineering

Istanbul Technical University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Sea currents could produce as much energy as wind currents because the average density of the oceans is about 850 times greater than that of air. Being able to accurately predict current power data is of critical importance in extracting the renewable energy potential of a specific ocean region. However, the classical power prediction formulas do not take into account the fluctuations around the mean, or turbulence. Because ocean currents are turbulent, a greater understanding of the existence of turbulence is a key factor in current power estimations. This paper principally investigates the use of the generalized gamma distribution in developing a new current power prediction formula that takes into account deviations from the mean. In addition, mean power and energy fluxes are calculated with the developed formula for the upper layers of the ocean (between 0 and 20 m) at the southern outlet of the Dardanelles as a case study. To estimate mean power and energy fluxes, 3-year hourly time series data with an average current speed of 0.381 m/s are used. Finally, the mean power and the energy fluxes are estimated to be 46.45 W/m² and 407.23 kWh/m²/year, respectively.

Original language	English
Pages (from-to)	481-492
Number of pages	12
Journal	Journal of Ocean Engineering and Marine Energy
Volume	7
Issue number	4
DOIs	https://doi.org/10.1007/s40722-021-00210-1
Publication status	Published - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Funding

This research was supported by the Istanbul Technical University (ITU) under the BAP Unit (Grant No. 42373). This study was supported by Istanbul Technical University Scientific Research Project Coordination Unit (ITU BAP) with grant number 42373.?The authors wish to thank the Turkish State Meteorological Service for providing current velocity data of the Dardanelles Strait.?I.C.U. acknowledges the support of Turkish Council of Higher Education (CoHE) for 100/2000 CoHE doctoral scholarship. This study was supported by Istanbul Technical University Scientific Research Project Coordination Unit (ITU BAP) with grant number 42373. The authors wish to thank the Turkish State Meteorological Service for providing current velocity data of the Dardanelles Strait. I.C.U. acknowledges the support of Turkish Council of Higher Education (CoHE) for 100/2000 CoHE doctoral scholarship.

Funders	Funder number
CoHE
ITU BAP
Turkish Council of Higher Education
Turkish State Meteorological Service
Istanbul Teknik Üniversitesi	42373

Keywords

Current energy
Dardanelles
Generalized gamma distribution
Perturbation theory

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s40722-021-00210-1

Cite this

@article{ae09e78804d840f09b3e9e8aaee320c8,

title = "Marine current energy estimation using the generalized gamma distribution: a case study for the upper layer of the Dardanelles Strait",

abstract = "Sea currents could produce as much energy as wind currents because the average density of the oceans is about 850 times greater than that of air. Being able to accurately predict current power data is of critical importance in extracting the renewable energy potential of a specific ocean region. However, the classical power prediction formulas do not take into account the fluctuations around the mean, or turbulence. Because ocean currents are turbulent, a greater understanding of the existence of turbulence is a key factor in current power estimations. This paper principally investigates the use of the generalized gamma distribution in developing a new current power prediction formula that takes into account deviations from the mean. In addition, mean power and energy fluxes are calculated with the developed formula for the upper layers of the ocean (between 0 and 20 m) at the southern outlet of the Dardanelles as a case study. To estimate mean power and energy fluxes, 3-year hourly time series data with an average current speed of 0.381 m/s are used. Finally, the mean power and the energy fluxes are estimated to be 46.45 W/m2 and 407.23 kWh/m2/year, respectively.",

keywords = "Current energy, Dardanelles, Generalized gamma distribution, Perturbation theory",

author = "Ulusoy, {Ismail Can} and Tarkan Erdik",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.",

year = "2021",

month = nov,

doi = "10.1007/s40722-021-00210-1",

language = "English",

volume = "7",

pages = "481--492",

journal = "Journal of Ocean Engineering and Marine Energy",

issn = "2198-6444",

publisher = "Springer International Publishing AG",

number = "4",

}

TY - JOUR

T1 - Marine current energy estimation using the generalized gamma distribution

T2 - a case study for the upper layer of the Dardanelles Strait

AU - Ulusoy, Ismail Can

AU - Erdik, Tarkan

PY - 2021/11

Y1 - 2021/11

N2 - Sea currents could produce as much energy as wind currents because the average density of the oceans is about 850 times greater than that of air. Being able to accurately predict current power data is of critical importance in extracting the renewable energy potential of a specific ocean region. However, the classical power prediction formulas do not take into account the fluctuations around the mean, or turbulence. Because ocean currents are turbulent, a greater understanding of the existence of turbulence is a key factor in current power estimations. This paper principally investigates the use of the generalized gamma distribution in developing a new current power prediction formula that takes into account deviations from the mean. In addition, mean power and energy fluxes are calculated with the developed formula for the upper layers of the ocean (between 0 and 20 m) at the southern outlet of the Dardanelles as a case study. To estimate mean power and energy fluxes, 3-year hourly time series data with an average current speed of 0.381 m/s are used. Finally, the mean power and the energy fluxes are estimated to be 46.45 W/m2 and 407.23 kWh/m2/year, respectively.

AB - Sea currents could produce as much energy as wind currents because the average density of the oceans is about 850 times greater than that of air. Being able to accurately predict current power data is of critical importance in extracting the renewable energy potential of a specific ocean region. However, the classical power prediction formulas do not take into account the fluctuations around the mean, or turbulence. Because ocean currents are turbulent, a greater understanding of the existence of turbulence is a key factor in current power estimations. This paper principally investigates the use of the generalized gamma distribution in developing a new current power prediction formula that takes into account deviations from the mean. In addition, mean power and energy fluxes are calculated with the developed formula for the upper layers of the ocean (between 0 and 20 m) at the southern outlet of the Dardanelles as a case study. To estimate mean power and energy fluxes, 3-year hourly time series data with an average current speed of 0.381 m/s are used. Finally, the mean power and the energy fluxes are estimated to be 46.45 W/m2 and 407.23 kWh/m2/year, respectively.

KW - Current energy

KW - Dardanelles

KW - Generalized gamma distribution

KW - Perturbation theory

UR - http://www.scopus.com/inward/record.url?scp=85111771317&partnerID=8YFLogxK

U2 - 10.1007/s40722-021-00210-1

DO - 10.1007/s40722-021-00210-1

M3 - Article

AN - SCOPUS:85111771317

SN - 2198-6444

VL - 7

SP - 481

EP - 492

JO - Journal of Ocean Engineering and Marine Energy

JF - Journal of Ocean Engineering and Marine Energy

IS - 4

ER -

Marine current energy estimation using the generalized gamma distribution: a case study for the upper layer of the Dardanelles Strait

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this