Remote Sensing for Wind Energy

Alfredo Peña, Charlotte Bay Hasager, Julia Lange, Jan Anger, Merete Badger, Ferhat Bingöl, Oliver Bischoff, Jean-Pierre Cariou, Fiona Dunne, Stefan Emeis, Michael Harris, Martin Hofsäss, Ioanna Karagali, Jason Laks, Søren Ejling Larsen, Jakob Mann, Torben Mikkelsen, Lucy Y. Pao, Mark Pitter, Andreas RettenmeierAmeya Sathe, Fabio Scanzani, David Schlipf, Eric Simley, Chris Slinger, Rozenn Wagner, Ines Würth

Research output: Book/ReportReportResearch

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Abstract

The Remote Sensing in Wind Energy report provides a description of several topics and it is our hope that students and others interested will learn from it. The idea behind it began in year 2008 at DTU Wind Energy (formerly Risø) during the first PhD Summer School: Remote Sensing in Wind Energy. Thus it is closely linked to the PhD Summer Schools where state-of-the-art is presented during the lecture sessions. The advantage of the report is to supplement with in-depth, article style information. Thus we strive to provide link from the lectures, field demonstrations, and hands-on exercises to theory. The report will allow alumni to trace back details after the course and benefit from the collection of information. This is the third edition of the report (first externally available), after very successful and demanded first two, and we warmly acknowledge all the contributing authors for their work in the writing of the chapters, and we also acknowledge all our colleagues in the Meteorology and Test and Measurements Sections from DTU Wind Energy in the PhD Summer Schools. We hope to continue adding more topics in future editions and to update and improve as necessary, to provide a truly
state-of-the-art ‘guideline’ available for people involved in Remote Sensing in Wind Energy.
Original languageEnglish
PublisherDTU Wind Energy
Number of pages309
ISBN (Electronic)978-87-92896-41-4
Publication statusPublished - 2013
SeriesDTU Wind Energy E
Number0029(EN)

Keywords

  • DTU-Wind-Energy-Report-E-0029
  • DTU-Wind-Energy-Report-E-0029(EN)
  • DTU Wind Energy- E-Report-0029(EN)
  • DTU-Wind-Energy- E-Report-0029(EN)

Cite this

Peña, A., Hasager, C. B., Lange, J., Anger, J., Badger, M., Bingöl, F., ... Würth, I. (2013). Remote Sensing for Wind Energy. DTU Wind Energy. DTU Wind Energy E, No. 0029(EN)
Peña, Alfredo ; Hasager, Charlotte Bay ; Lange, Julia ; Anger, Jan ; Badger, Merete ; Bingöl, Ferhat ; Bischoff, Oliver ; Cariou, Jean-Pierre ; Dunne, Fiona ; Emeis, Stefan ; Harris, Michael ; Hofsäss, Martin ; Karagali, Ioanna ; Laks, Jason ; Larsen, Søren Ejling ; Mann, Jakob ; Mikkelsen, Torben ; Pao, Lucy Y. ; Pitter, Mark ; Rettenmeier, Andreas ; Sathe, Ameya ; Scanzani, Fabio ; Schlipf, David ; Simley, Eric ; Slinger, Chris ; Wagner, Rozenn ; Würth, Ines . / Remote Sensing for Wind Energy. DTU Wind Energy, 2013. 309 p. (DTU Wind Energy E; No. 0029(EN)).
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title = "Remote Sensing for Wind Energy",
abstract = "The Remote Sensing in Wind Energy report provides a description of several topics and it is our hope that students and others interested will learn from it. The idea behind it began in year 2008 at DTU Wind Energy (formerly Ris{\o}) during the first PhD Summer School: Remote Sensing in Wind Energy. Thus it is closely linked to the PhD Summer Schools where state-of-the-art is presented during the lecture sessions. The advantage of the report is to supplement with in-depth, article style information. Thus we strive to provide link from the lectures, field demonstrations, and hands-on exercises to theory. The report will allow alumni to trace back details after the course and benefit from the collection of information. This is the third edition of the report (first externally available), after very successful and demanded first two, and we warmly acknowledge all the contributing authors for their work in the writing of the chapters, and we also acknowledge all our colleagues in the Meteorology and Test and Measurements Sections from DTU Wind Energy in the PhD Summer Schools. We hope to continue adding more topics in future editions and to update and improve as necessary, to provide a trulystate-of-the-art ‘guideline’ available for people involved in Remote Sensing in Wind Energy.",
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author = "Alfredo Pe{\~n}a and Hasager, {Charlotte Bay} and Julia Lange and Jan Anger and Merete Badger and Ferhat Bing{\"o}l and Oliver Bischoff and Jean-Pierre Cariou and Fiona Dunne and Stefan Emeis and Michael Harris and Martin Hofs{\"a}ss and Ioanna Karagali and Jason Laks and Larsen, {S{\o}ren Ejling} and Jakob Mann and Torben Mikkelsen and Pao, {Lucy Y.} and Mark Pitter and Andreas Rettenmeier and Ameya Sathe and Fabio Scanzani and David Schlipf and Eric Simley and Chris Slinger and Rozenn Wagner and Ines W{\"u}rth",
year = "2013",
language = "English",
series = "DTU Wind Energy E",
number = "0029(EN)",
publisher = "DTU Wind Energy",
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Peña, A, Hasager, CB, Lange, J, Anger, J, Badger, M, Bingöl, F, Bischoff, O, Cariou, J-P, Dunne, F, Emeis, S, Harris, M, Hofsäss, M, Karagali, I, Laks, J, Larsen, SE, Mann, J, Mikkelsen, T, Pao, LY, Pitter, M, Rettenmeier, A, Sathe, A, Scanzani, F, Schlipf, D, Simley, E, Slinger, C, Wagner, R & Würth, I 2013, Remote Sensing for Wind Energy. DTU Wind Energy E, no. 0029(EN), DTU Wind Energy.

Remote Sensing for Wind Energy. / Peña, Alfredo; Hasager, Charlotte Bay; Lange, Julia; Anger, Jan; Badger, Merete; Bingöl, Ferhat; Bischoff, Oliver; Cariou, Jean-Pierre ; Dunne, Fiona ; Emeis, Stefan ; Harris, Michael ; Hofsäss, Martin ; Karagali, Ioanna; Laks, Jason ; Larsen, Søren Ejling; Mann, Jakob; Mikkelsen, Torben; Pao, Lucy Y. ; Pitter, Mark ; Rettenmeier, Andreas ; Sathe, Ameya; Scanzani, Fabio ; Schlipf, David ; Simley, Eric ; Slinger, Chris ; Wagner, Rozenn; Würth, Ines .

DTU Wind Energy, 2013. 309 p. (DTU Wind Energy E; No. 0029(EN)).

Research output: Book/ReportReportResearch

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T1 - Remote Sensing for Wind Energy

AU - Peña, Alfredo

AU - Hasager, Charlotte Bay

AU - Lange, Julia

AU - Anger, Jan

AU - Badger, Merete

AU - Bingöl, Ferhat

AU - Bischoff, Oliver

AU - Cariou, Jean-Pierre

AU - Dunne, Fiona

AU - Emeis, Stefan

AU - Harris, Michael

AU - Hofsäss, Martin

AU - Karagali, Ioanna

AU - Laks, Jason

AU - Larsen, Søren Ejling

AU - Mann, Jakob

AU - Mikkelsen, Torben

AU - Pao, Lucy Y.

AU - Pitter, Mark

AU - Rettenmeier, Andreas

AU - Sathe, Ameya

AU - Scanzani, Fabio

AU - Schlipf, David

AU - Simley, Eric

AU - Slinger, Chris

AU - Wagner, Rozenn

AU - Würth, Ines

PY - 2013

Y1 - 2013

N2 - The Remote Sensing in Wind Energy report provides a description of several topics and it is our hope that students and others interested will learn from it. The idea behind it began in year 2008 at DTU Wind Energy (formerly Risø) during the first PhD Summer School: Remote Sensing in Wind Energy. Thus it is closely linked to the PhD Summer Schools where state-of-the-art is presented during the lecture sessions. The advantage of the report is to supplement with in-depth, article style information. Thus we strive to provide link from the lectures, field demonstrations, and hands-on exercises to theory. The report will allow alumni to trace back details after the course and benefit from the collection of information. This is the third edition of the report (first externally available), after very successful and demanded first two, and we warmly acknowledge all the contributing authors for their work in the writing of the chapters, and we also acknowledge all our colleagues in the Meteorology and Test and Measurements Sections from DTU Wind Energy in the PhD Summer Schools. We hope to continue adding more topics in future editions and to update and improve as necessary, to provide a trulystate-of-the-art ‘guideline’ available for people involved in Remote Sensing in Wind Energy.

AB - The Remote Sensing in Wind Energy report provides a description of several topics and it is our hope that students and others interested will learn from it. The idea behind it began in year 2008 at DTU Wind Energy (formerly Risø) during the first PhD Summer School: Remote Sensing in Wind Energy. Thus it is closely linked to the PhD Summer Schools where state-of-the-art is presented during the lecture sessions. The advantage of the report is to supplement with in-depth, article style information. Thus we strive to provide link from the lectures, field demonstrations, and hands-on exercises to theory. The report will allow alumni to trace back details after the course and benefit from the collection of information. This is the third edition of the report (first externally available), after very successful and demanded first two, and we warmly acknowledge all the contributing authors for their work in the writing of the chapters, and we also acknowledge all our colleagues in the Meteorology and Test and Measurements Sections from DTU Wind Energy in the PhD Summer Schools. We hope to continue adding more topics in future editions and to update and improve as necessary, to provide a trulystate-of-the-art ‘guideline’ available for people involved in Remote Sensing in Wind Energy.

KW - DTU-Wind-Energy-Report-E-0029

KW - DTU-Wind-Energy-Report-E-0029(EN)

KW - DTU Wind Energy- E-Report-0029(EN)

KW - DTU-Wind-Energy- E-Report-0029(EN)

M3 - Report

T3 - DTU Wind Energy E

BT - Remote Sensing for Wind Energy

PB - DTU Wind Energy

ER -

Peña A, Hasager CB, Lange J, Anger J, Badger M, Bingöl F et al. Remote Sensing for Wind Energy. DTU Wind Energy, 2013. 309 p. (DTU Wind Energy E; No. 0029(EN)).