TY - JOUR
T1 - Enhanced estimation of boundary layer advective properties to improve space-to-time conversion processes for wind energy applications
AU - Duncan, James B.
AU - Hirth, Brian D.
AU - Schroeder, John L.
N1 - Publisher Copyright:
© 2019 John Wiley & Sons, Ltd.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - Remote sensing instruments that scan have the ability to provide high-resolution spatial measurements of atmospheric boundary layer winds across a region. However, the ability to use these spatially distributed measurements to extract temporal variations in the flow at time scales less than the measurement revisit period is historically limited. As part of this work, the framework for an enhanced space-to-time conversion technique is established, allowing for time histories of atmospheric boundary layer wind characteristics to be reliably extracted for locations within the measurement domain. This space-to-time conversion technique is made possible by quantifying momentum advection within the measurement domain, rather than simply assuming a uniform advection based on a singular mean wind speed and direction. The use of this technique enables the extraction of long lead-time (ie, upwards of 60 seconds) forecasts of wind speed and direction at individual locations within the measurement domain, thereby expanding the application and potential benefits of scanning instruments. For example, these long lead-time forecasts can be used to enhance proactive wind turbine control and more accurately define wind turbine wake statistics.
AB - Remote sensing instruments that scan have the ability to provide high-resolution spatial measurements of atmospheric boundary layer winds across a region. However, the ability to use these spatially distributed measurements to extract temporal variations in the flow at time scales less than the measurement revisit period is historically limited. As part of this work, the framework for an enhanced space-to-time conversion technique is established, allowing for time histories of atmospheric boundary layer wind characteristics to be reliably extracted for locations within the measurement domain. This space-to-time conversion technique is made possible by quantifying momentum advection within the measurement domain, rather than simply assuming a uniform advection based on a singular mean wind speed and direction. The use of this technique enables the extraction of long lead-time (ie, upwards of 60 seconds) forecasts of wind speed and direction at individual locations within the measurement domain, thereby expanding the application and potential benefits of scanning instruments. For example, these long lead-time forecasts can be used to enhance proactive wind turbine control and more accurately define wind turbine wake statistics.
KW - ABL wind field advection
KW - advection correction
KW - proactive wind turbine control
KW - remote sensing
KW - space-to-time conversion
KW - wake assessment
UR - http://www.scopus.com/inward/record.url?scp=85070191074&partnerID=8YFLogxK
U2 - 10.1002/we.2350
DO - 10.1002/we.2350
M3 - Article
AN - SCOPUS:85070191074
VL - 22
SP - 1203
EP - 1218
JO - Wind Energy
JF - Wind Energy
SN - 1095-4244
IS - 9
ER -