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Position: PhD Scholarship in Characterization of power performance of a wind turbine inside a wind farm
Institution: Technical University of Denmark
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: Characterization of the power performance of wind turbines is central to wind energy economics Power curve measurements, which relate the turbine power output to an inflow wind speed, are needed to estimate the energy yield of wind farm and to verify the performance of production turbine. Power curve testing procedures are described in very much detail in international standards, providing the basis for contractual purposes for the various stakeholders. However, those procedures are exclusively addressing the performance of isolated wind turbines, whereas wind turbines are most of the time part of wind farms made of several units, quite often several tens of turbines. This PhD project will investigate the actual power performance of one wind turbine, which is part of a wind farm. The purpose is to determine how to characterize the influence of the surrounding turbines on the individual turbine performance (e.g. due to wake effects increasing significantly the turbulence levels behind the wind turbines and the global blockage effect of the turbine array slowing down the incoming wind) using measurements from a turbine mounted lidar. The PhD candidate is expected to collaborate closely with other PhD students in the LIKE project, especially ESR 9 on intra wind farm wake dynamics and ESR 12 on turbulence characterization using nacelle mounted lidars. The PhD project also includes two secondments of 3 months each: one in University of Oldenburg, Germany, related to study the wake behavior and wake measurements using nacelle lidars and one in DNV GL in Madrid, Spain (or Seattle, USA) about application of the measurement procedure to real wind farm data
Requirements: Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Remote Sensing or similar. Knowledge of wind measurement techniques, especially lidars, and of flow modelling and wind turbine aeroelastic modelling would be appreciated. The successful candidate is also required to have: Documented background in wind energy; Documented background in remote sensing; Background in data analysis of large amount of data and programming; Ability to work in a project team and take responsibility for own research goals; Fluency in communicating and reporting in English
   
Text: PhD Scholarship in Characterization of power performance of a wind turbine inside a wind farm DTU Wind Energy Share on Facebook Share on Twitter Share on Linkedin Monday 30 Sep 19 Apply for this job Apply no later than 23 October 2019 Apply for the job at DTU Wind Energy by completing the following form. Apply online The Department of Wind Energy in the Technical University of Denmark (DTU Wind Energy) is seeking a PhD for the Section of Meteorology and Remote Sensing. DTU Wind Energy is a mission driven university department with a vision to be the preferred university partner for the global wind energy sector. The department creates value for society through integration of research with education, innovation and research-based consultancy within key fields central to the development and use of wind energy. Please look at www.vindenergi.dtu.dk for more details on the type of activities we undertake. Responsibilities and tasks Characterization of the power performance of wind turbines is central to wind energy economics Power curve measurements, which relate the turbine power output to an inflow wind speed, are needed to estimate the energy yield of wind farm and to verify the performance of production turbine. Power curve testing procedures are described in very much detail in international standards, providing the basis for contractual purposes for the various stakeholders. However, those procedures are exclusively addressing the performance of isolated wind turbines, whereas wind turbines are most of the time part of wind farms made of several units, quite often several tens of turbines. This PhD project will investigate the actual power performance of one wind turbine, which is part of a wind farm. The purpose is to determine how to characterize the influence of the surrounding turbines on the individual turbine performance (e.g. due to wake effects increasing significantly the turbulence levels behind the wind turbines and the global blockage effect of the turbine array slowing down the incoming wind) using measurements from a turbine mounted lidar. The PhD candidate is expected to collaborate closely with other PhD students in the LIKE project, especially ESR 9 on intra wind farm wake dynamics and ESR 12 on turbulence characterization using nacelle mounted lidars. The PhD project also includes two secondments of 3 months each: one in University of Oldenburg, Germany, related to study the wake behavior and wake measurements using nacelle lidars and one in DNV GL in Madrid, Spain (or Seattle, USA) about application of the measurement procedure to real wind farm data. Expected results Characterization of the influence of the surrounding turbines on the turbine performance Definition of the relevant inflow characteristics Derivation of those characteristics from a nacelle mounted lidar. Identification of possible improvement in wind farm energy yield. Qualifications Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in Meteorology, Physical Sciences, Engineering, Remote Sensing or similar. Knowledge of wind measurement techniques, especially lidars, and of flow modelling and wind turbine aeroelastic modelling would be appreciated. The successful candidate is also required to have: Documented background in wind energy Documented background in remote sensing Background in data analysis of large amount of data and programming Ability to work in a project team and take responsibility for own research goals Fluency in communicating and reporting in English In addition, the successful candidate should satisfy at the time of the recruitment the following mandatory characteristics: having not more than 4 years of equivalent research experience (i.e. working as researcher after obtaining your master’s degree); having not been awarded a title of PhD; having not resided or carried out her/his main activity in Denmark; for more than 24 months in the last 3 years. The successful candidate must also fulfill the requirements for admission to a doctoral program at DTU. The present PhD project will take advantage of collaboration with researchers at DTU, University of Oldenburg and DNV GL. Starting Date: 1 st January 2020 (preferable) and latest 1st April 2020. Duration: 36 months. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidates will be enrolled in one of the general degree programmes of DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide . Assessment The assessment of the applicants will be made by Head of Section, Dr. Hans E. Jørgensen, Prof. Jakob Mann, Dr. Charlotte Hasager and Dr. Rozenn Wagner from DTU. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years. For more info about salary calculation, the requisites for Family allowance and more details on the employment conditions, please see the founding body rules: https://ec.europa.eu/research/participants/data/ref/h2020/wp/2018-2020/main/h2020-wp1820-msca_en.pdf The workplace will be DTU Wind Energy, Risø Campus in Roskilde. During the 3 years of employment, one stay will take place at University of Oldenburg, Germany, for a duration of 3 months, with focus on the wake behavior and wake measurements using nacelle lidars, and another 3 months-stay will take place in DNV GL offices in Madrid, Spain (or maybe Seattle, USA) where the measurement procedures developed during the PhD project can be tested on full scale windfarm dataset. You can read more about career paths at DTU here . Further information Further information may be obtained from Dr. Senior Researcher, Supervisor of the present PhD project, Rozenn Wagner, rozn@dtu.dk , 45 2367 2894, Dr. Senior Researcher, Team-leader of the Section Meteorology and Remote Sensing, LIKE project manager Charlotte Hasager, cbha@dtu.dk , 45 4677 5014, or Professor Jakob Mann, jmsq@dtu.dk , 45 2136 2962. You can read more about DTU Wind Energy on www.vindenergi.dtu.dk/english . Application Please submit your online application no later than 23 October 2019 (local time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill in the online application form, and attach all your materials in English in one PDF file . The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here ) A 1-page research statement. Through the research statement, the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be preferably related to the topic of the advertised PhD position. Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. The Department of Wind Energy is one of the world’s largest centres of wind energy research and knowledge, with a staff of more than 240 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind Energy has approximately 40 PhD students. The department’s cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and international universities, research institutions and organizations, as well as the wind industry. DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies.
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