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Power variability of tidal-stream energy and implications for electricity supply

Matt Lewis, James McNaughton, Concha Márquez-Dominguez, Grazia Todeschini Orcid Logo, Michael Togneri Orcid Logo, Ian Masters Orcid Logo, Matthew Allmark, Tim Stallard, Simon Neill, Alice Goward-Brown, Peter Robins

Energy, Volume: 138, Pages: 1061 - 1074

Swansea University Authors: Grazia Todeschini Orcid Logo, Michael Togneri Orcid Logo, Ian Masters Orcid Logo

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DOI (Published version): 10.1016/j.energy.2019.06.181

Abstract

Temporal variability in renewable energy presents a major challenge for electrical grid systems. Tides are considered predictable due to their regular periodicity; however, the persistence and quality of tidal-stream generated electricity is unknown. This paper is the first study that attempts to ad...

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Published in: Energy
ISSN: 0360-5442
Published: 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa51005
first_indexed 2019-07-04T14:55:47Z
last_indexed 2020-07-29T19:12:43Z
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Tides are considered predictable due to their regular periodicity; however, the persistence and quality of tidal-stream generated electricity is unknown. This paper is the first study that attempts to address this knowledge gap through direct measurements of rotor-shaft power and shore-side voltage from a 1&#x202F;MW, rated at grid-connection, tidal turbine (Orkney Islands, UK). Tidal asymmetry in turbulence parameters, flow speed and power variability were observed. Variability in the power at 0.5&#x202F;Hz, associated with the 10-min running mean, was low (standard deviation 10&#x2013;12% of rated power), with lower variability associated with higher flow speed and reduced turbulence intensity. Variability of shore-side measured voltage was well within acceptable levels (&#x223C;0.3% at 0.5&#x202F;Hz). Variability in turbine power had &lt;1% difference in energy yield calculation, even with a skewed power variability distribution. Finally, using a &#x201C;t-location&#x201D; distribution of observed fine-scale power variability, in combination with an idealised power curve, a synthetic power variability model reliably downscaled 30&#x202F;min tidal velocity simulations to power at 0.5&#x202F;Hz (R2&#x202F;=&#x202F;85% and &#x223C;14% error). Therefore, the predictability and quality of tidal-stream energy may be undervalued in a future, high-penetration renewable energy, electricity grid.</abstract><type>Journal Article</type><journal>Energy</journal><volume>138</volume><paginationStart>1061</paginationStart><paginationEnd>1074</paginationEnd><publisher/><issnPrint>0360-5442</issnPrint><keywords>Tidal energy, Prediction, Turbulence, Power quality, Orkney, Resource characterisation</keywords><publishedDay>15</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-09-15</publishedDate><doi>10.1016/j.energy.2019.06.181</doi><url>https://www.sciencedirect.com/science/article/pii/S0360544219313192</url><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-07-29T17:10:41.7339516</lastEdited><Created>2019-07-04T09:24:03.7175609</Created><authors><author><firstname>Matt</firstname><surname>Lewis</surname><order>1</order></author><author><firstname>James</firstname><surname>McNaughton</surname><order>2</order></author><author><firstname>Concha</firstname><surname>M&#xE1;rquez-Dominguez</surname><order>3</order></author><author><firstname>Grazia</firstname><surname>Todeschini</surname><orcid>0000-0001-9411-0726</orcid><order>4</order></author><author><firstname>Michael</firstname><surname>Togneri</surname><orcid>0000-0002-6820-1680</orcid><order>5</order></author><author><firstname>Ian</firstname><surname>Masters</surname><orcid>0000-0001-7667-6670</orcid><order>6</order></author><author><firstname>Matthew</firstname><surname>Allmark</surname><order>7</order></author><author><firstname>Tim</firstname><surname>Stallard</surname><order>8</order></author><author><firstname>Simon</firstname><surname>Neill</surname><order>9</order></author><author><firstname>Alice</firstname><surname>Goward-Brown</surname><order>10</order></author><author><firstname>Peter</firstname><surname>Robins</surname><order>11</order></author></authors><documents><document><filename>0051005-04072019092619.pdf</filename><originalFilename>lewis2019(3).pdf</originalFilename><uploaded>2019-07-04T09:26:19.5970000</uploaded><type>Output</type><contentLength>6904949</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2020-07-01T00:00:00.0000000</embargoDate><documentNotes>&#xA9; 2019. 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spelling 2020-07-29T17:10:41.7339516 v2 51005 2019-07-04 Power variability of tidal-stream energy and implications for electricity supply c4ff9050b31bdec0e560b19bfb3b56d3 0000-0001-9411-0726 Grazia Todeschini Grazia Todeschini true false 7032d5a521c181cea18dbb759e1ffdeb 0000-0002-6820-1680 Michael Togneri Michael Togneri true false 6fa19551092853928cde0e6d5fac48a1 0000-0001-7667-6670 Ian Masters Ian Masters true false 2019-07-04 Temporal variability in renewable energy presents a major challenge for electrical grid systems. Tides are considered predictable due to their regular periodicity; however, the persistence and quality of tidal-stream generated electricity is unknown. This paper is the first study that attempts to address this knowledge gap through direct measurements of rotor-shaft power and shore-side voltage from a 1 MW, rated at grid-connection, tidal turbine (Orkney Islands, UK). Tidal asymmetry in turbulence parameters, flow speed and power variability were observed. Variability in the power at 0.5 Hz, associated with the 10-min running mean, was low (standard deviation 10–12% of rated power), with lower variability associated with higher flow speed and reduced turbulence intensity. Variability of shore-side measured voltage was well within acceptable levels (∼0.3% at 0.5 Hz). Variability in turbine power had <1% difference in energy yield calculation, even with a skewed power variability distribution. Finally, using a “t-location” distribution of observed fine-scale power variability, in combination with an idealised power curve, a synthetic power variability model reliably downscaled 30 min tidal velocity simulations to power at 0.5 Hz (R2 = 85% and ∼14% error). Therefore, the predictability and quality of tidal-stream energy may be undervalued in a future, high-penetration renewable energy, electricity grid. Journal Article Energy 138 1061 1074 0360-5442 Tidal energy, Prediction, Turbulence, Power quality, Orkney, Resource characterisation 15 9 2019 2019-09-15 10.1016/j.energy.2019.06.181 https://www.sciencedirect.com/science/article/pii/S0360544219313192 COLLEGE NANME COLLEGE CODE Swansea University 2020-07-29T17:10:41.7339516 2019-07-04T09:24:03.7175609 Matt Lewis 1 James McNaughton 2 Concha Márquez-Dominguez 3 Grazia Todeschini 0000-0001-9411-0726 4 Michael Togneri 0000-0002-6820-1680 5 Ian Masters 0000-0001-7667-6670 6 Matthew Allmark 7 Tim Stallard 8 Simon Neill 9 Alice Goward-Brown 10 Peter Robins 11 0051005-04072019092619.pdf lewis2019(3).pdf 2019-07-04T09:26:19.5970000 Output 6904949 application/pdf Accepted Manuscript true 2020-07-01T00:00:00.0000000 © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license . true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Power variability of tidal-stream energy and implications for electricity supply
spellingShingle Power variability of tidal-stream energy and implications for electricity supply
Grazia Todeschini
Michael Togneri
Ian Masters
title_short Power variability of tidal-stream energy and implications for electricity supply
title_full Power variability of tidal-stream energy and implications for electricity supply
title_fullStr Power variability of tidal-stream energy and implications for electricity supply
title_full_unstemmed Power variability of tidal-stream energy and implications for electricity supply
title_sort Power variability of tidal-stream energy and implications for electricity supply
author_id_str_mv c4ff9050b31bdec0e560b19bfb3b56d3
7032d5a521c181cea18dbb759e1ffdeb
6fa19551092853928cde0e6d5fac48a1
author_id_fullname_str_mv c4ff9050b31bdec0e560b19bfb3b56d3_***_Grazia Todeschini
7032d5a521c181cea18dbb759e1ffdeb_***_Michael Togneri
6fa19551092853928cde0e6d5fac48a1_***_Ian Masters
author Grazia Todeschini
Michael Togneri
Ian Masters
author2 Matt Lewis
James McNaughton
Concha Márquez-Dominguez
Grazia Todeschini
Michael Togneri
Ian Masters
Matthew Allmark
Tim Stallard
Simon Neill
Alice Goward-Brown
Peter Robins
format Journal article
container_title Energy
container_volume 138
container_start_page 1061
publishDate 2019
institution Swansea University
issn 0360-5442
doi_str_mv 10.1016/j.energy.2019.06.181
url https://www.sciencedirect.com/science/article/pii/S0360544219313192
document_store_str 1
active_str 0
description Temporal variability in renewable energy presents a major challenge for electrical grid systems. Tides are considered predictable due to their regular periodicity; however, the persistence and quality of tidal-stream generated electricity is unknown. This paper is the first study that attempts to address this knowledge gap through direct measurements of rotor-shaft power and shore-side voltage from a 1 MW, rated at grid-connection, tidal turbine (Orkney Islands, UK). Tidal asymmetry in turbulence parameters, flow speed and power variability were observed. Variability in the power at 0.5 Hz, associated with the 10-min running mean, was low (standard deviation 10–12% of rated power), with lower variability associated with higher flow speed and reduced turbulence intensity. Variability of shore-side measured voltage was well within acceptable levels (∼0.3% at 0.5 Hz). Variability in turbine power had <1% difference in energy yield calculation, even with a skewed power variability distribution. Finally, using a “t-location” distribution of observed fine-scale power variability, in combination with an idealised power curve, a synthetic power variability model reliably downscaled 30 min tidal velocity simulations to power at 0.5 Hz (R2 = 85% and ∼14% error). Therefore, the predictability and quality of tidal-stream energy may be undervalued in a future, high-penetration renewable energy, electricity grid.
published_date 2019-09-15T19:57:22Z
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score 11.048302

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