Computational Fluid Dynamics Methods for Wind Resources Assessment

Sabine Upnere; Valerijs Bezrukovs; Vladislavs Bezrukovs; Normunds Jekabsons; Linda Gulbe

doi:10.1007/978-3-030-40616-5_48

Computational Fluid Dynamics Methods for Wind Resources Assessment

Sabine Upnere^*
, Valerijs Bezrukovs
, Vladislavs Bezrukovs
, Normunds Jekabsons
, Linda Gulbe

^*Šī darba korespondējošais autors

Ventspils University College
Institute of Physical Energetics

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

1 Atsauce (Scopus)

Kopsavilkums

The use of already existing infrastructure for mounting of wind speed sensors could be a promising way of how to assess wind resources instead to install the new meteorological mast. One part of this study is devoted to exploring the impact of the mast on the flow field around it. Computational Fluid Dynamics (CFD) is chosen to predict airflow using Reynolds-Averaged Navier-Stokes equations. In the second part of this research, the typical topology near the Baltic Sea is selected to evaluate numerically the turbulent airflow over coastal terrain. The lidar images are utilized to describe the topology of the interested area. Digital Surface Model is used to generate the ground surface which is applied as the input to develop the high-resolution computational mesh of the terrain. Computational domain parallelization and the computational cluster is applied due to the complexity of the numerical simulations. Obtained results are compared with experimentally measured data from wind speed sensors located on the telecommunication mast.

Oriģinālvaloda	Angļu
Rīkotāja publikācijas nosaukums	Numerical Computations
Rīkotāja publikācijas apakšnosaukums	Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers
Redaktori	Yaroslav D. Sergeyev, Dmitri E. Kvasov, Yaroslav D. Sergeyev, Dmitri E. Kvasov
Izdevējs	Springer
Lapas	495-502
Lapu skaits	8
ISBN (Drukātā versija)	9783030406158
DOIs	https://doi.org/10.1007/978-3-030-40616-5_48
Publikācijas statuss	Publicēts - 2020
Ārēji publicēts	Jā
Pasākums	3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019 - Crotone, Itālija Ilgums: 15 jūn. 2019 → 21 jūn. 2019

Publikāciju sērijas

Nosaukums	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sējums	11974 LNCS
ISSN (Drukātā versija)	0302-9743
ISSN (Elektroniskā versija)	1611-3349

Konference

Konference	3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019
Valsts/Teritorija	Itālija
Pilsēta	Crotone
Periods	15/06/19 → 21/06/19

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Upnere, S., Bezrukovs, V., Bezrukovs, V., Jekabsons, N., & Gulbe, L. (2020). Computational Fluid Dynamics Methods for Wind Resources Assessment. (gadā) Y. D. Sergeyev, D. E. Kvasov, Y. D. Sergeyev, & D. E. Kvasov (Red.), Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers (lpp. 495-502). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Sēj. 11974 LNCS). Springer. https://doi.org/10.1007/978-3-030-40616-5_48

Upnere, Sabine ; Bezrukovs, Valerijs ; Bezrukovs, Vladislavs u.c. / Computational Fluid Dynamics Methods for Wind Resources Assessment. Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. redaktors / Yaroslav D. Sergeyev ; Dmitri E. Kvasov ; Yaroslav D. Sergeyev ; Dmitri E. Kvasov. Springer, 2020. lpp. 495-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{db29e2ddefb84a18b3c1e20ddc07929e,

title = "Computational Fluid Dynamics Methods for Wind Resources Assessment",

abstract = "The use of already existing infrastructure for mounting of wind speed sensors could be a promising way of how to assess wind resources instead to install the new meteorological mast. One part of this study is devoted to exploring the impact of the mast on the flow field around it. Computational Fluid Dynamics (CFD) is chosen to predict airflow using Reynolds-Averaged Navier-Stokes equations. In the second part of this research, the typical topology near the Baltic Sea is selected to evaluate numerically the turbulent airflow over coastal terrain. The lidar images are utilized to describe the topology of the interested area. Digital Surface Model is used to generate the ground surface which is applied as the input to develop the high-resolution computational mesh of the terrain. Computational domain parallelization and the computational cluster is applied due to the complexity of the numerical simulations. Obtained results are compared with experimentally measured data from wind speed sensors located on the telecommunication mast.",

keywords = "CFD, Flow modelling, RANS equations, Wind resources",

author = "Sabine Upnere and Valerijs Bezrukovs and Vladislavs Bezrukovs and Normunds Jekabsons and Linda Gulbe",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019 ; Conference date: 15-06-2019 Through 21-06-2019",

year = "2020",

doi = "10.1007/978-3-030-40616-5\_48",

language = "English",

isbn = "9783030406158",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "495--502",

editor = "Sergeyev, \{Yaroslav D.\} and Kvasov, \{Dmitri E.\} and Sergeyev, \{Yaroslav D.\} and Kvasov, \{Dmitri E.\}",

booktitle = "Numerical Computations",

address = "Germany",

}

Upnere, S, Bezrukovs, V, Bezrukovs, V , Jekabsons, N & Gulbe, L 2020, Computational Fluid Dynamics Methods for Wind Resources Assessment. (kur) YD Sergeyev, DE Kvasov, YD Sergeyev & DE Kvasov (red.), Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), sēj. 11974 LNCS, Springer, lpp. 495-502, 3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019, Crotone, Itālija, 15/06/19. https://doi.org/10.1007/978-3-030-40616-5_48

Computational Fluid Dynamics Methods for Wind Resources Assessment. / Upnere, Sabine; Bezrukovs, Valerijs; Bezrukovs, Vladislavs u.c.
Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. red. / Yaroslav D. Sergeyev; Dmitri E. Kvasov; Yaroslav D. Sergeyev; Dmitri E. Kvasov. Springer, 2020. lpp. 495-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Sēj. 11974 LNCS).

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

TY - GEN

T1 - Computational Fluid Dynamics Methods for Wind Resources Assessment

AU - Upnere, Sabine

AU - Bezrukovs, Valerijs

AU - Bezrukovs, Vladislavs

AU - Jekabsons, Normunds

AU - Gulbe, Linda

PY - 2020

Y1 - 2020

N2 - The use of already existing infrastructure for mounting of wind speed sensors could be a promising way of how to assess wind resources instead to install the new meteorological mast. One part of this study is devoted to exploring the impact of the mast on the flow field around it. Computational Fluid Dynamics (CFD) is chosen to predict airflow using Reynolds-Averaged Navier-Stokes equations. In the second part of this research, the typical topology near the Baltic Sea is selected to evaluate numerically the turbulent airflow over coastal terrain. The lidar images are utilized to describe the topology of the interested area. Digital Surface Model is used to generate the ground surface which is applied as the input to develop the high-resolution computational mesh of the terrain. Computational domain parallelization and the computational cluster is applied due to the complexity of the numerical simulations. Obtained results are compared with experimentally measured data from wind speed sensors located on the telecommunication mast.

AB - The use of already existing infrastructure for mounting of wind speed sensors could be a promising way of how to assess wind resources instead to install the new meteorological mast. One part of this study is devoted to exploring the impact of the mast on the flow field around it. Computational Fluid Dynamics (CFD) is chosen to predict airflow using Reynolds-Averaged Navier-Stokes equations. In the second part of this research, the typical topology near the Baltic Sea is selected to evaluate numerically the turbulent airflow over coastal terrain. The lidar images are utilized to describe the topology of the interested area. Digital Surface Model is used to generate the ground surface which is applied as the input to develop the high-resolution computational mesh of the terrain. Computational domain parallelization and the computational cluster is applied due to the complexity of the numerical simulations. Obtained results are compared with experimentally measured data from wind speed sensors located on the telecommunication mast.

KW - CFD

KW - Flow modelling

KW - RANS equations

KW - Wind resources

UR - https://www.scopus.com/pages/publications/85080946364

U2 - 10.1007/978-3-030-40616-5_48

DO - 10.1007/978-3-030-40616-5_48

M3 - Conference paper

AN - SCOPUS:85080946364

SN - 9783030406158

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 495

EP - 502

BT - Numerical Computations

A2 - Sergeyev, Yaroslav D.

A2 - Kvasov, Dmitri E.

A2 - Sergeyev, Yaroslav D.

A2 - Kvasov, Dmitri E.

PB - Springer

T2 - 3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019

Y2 - 15 June 2019 through 21 June 2019

ER -

Upnere S, Bezrukovs V, Bezrukovs V , Jekabsons N, Gulbe L. Computational Fluid Dynamics Methods for Wind Resources Assessment. (gadā) Sergeyev YD, Kvasov DE, Sergeyev YD, Kvasov DE, redaktori, Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. Springer. 2020. lpp. 495-502. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-40616-5_48

Computational Fluid Dynamics Methods for Wind Resources Assessment

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