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

^*Corresponding author for this work

Ventspils University College
Institute of Physical Energetics

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Numerical Computations
Subtitle of host publication	Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers
Editors	Yaroslav D. Sergeyev, Dmitri E. Kvasov, Yaroslav D. Sergeyev, Dmitri E. Kvasov
Publisher	Springer
Pages	495-502
Number of pages	8
ISBN (Print)	9783030406158
DOIs	https://doi.org/10.1007/978-3-030-40616-5_48
Publication status	Published - 2020
Externally published	Yes
Event	3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019 - Crotone, Italy Duration: 15 Jun 2019 → 21 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11974 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019
Country/Territory	Italy
City	Crotone
Period	15/06/19 → 21/06/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

CFD
Flow modelling
RANS equations
Wind resources

Access to Document

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

Cite this

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

Upnere, Sabine ; Bezrukovs, Valerijs ; Bezrukovs, Vladislavs et al. / Computational Fluid Dynamics Methods for Wind Resources Assessment. Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. editor / Yaroslav D. Sergeyev ; Dmitri E. Kvasov ; Yaroslav D. Sergeyev ; Dmitri E. Kvasov. Springer, 2020. pp. 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. in YD Sergeyev, DE Kvasov, YD Sergeyev & DE Kvasov (eds), 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), vol. 11974 LNCS, Springer, pp. 495-502, 3rd Triennial International Conference and Summer School on Numerical Computations: Theory and Algorithms, NUMTA 2019, Crotone, Italy, 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 et al.
Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. ed. / Yaroslav D. Sergeyev; Dmitri E. Kvasov; Yaroslav D. Sergeyev; Dmitri E. Kvasov. Springer, 2020. p. 495-502 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11974 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

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. In Sergeyev YD, Kvasov DE, Sergeyev YD, Kvasov DE, editors, Numerical Computations: Theory and Algorithms - 3rd International Conference, NUMTA 2019, Revised Selected Papers. Springer. 2020. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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