Learning from Mistakes: Designing Large Scale Atmospheric Experiments The world outside our warm and cozy offices is unpredictable and harsh, the burning desire to acquire unique datasets imposes stress on experimenters, managing people during the experiment is nerve-wracking, and the equipment has a tendency to leave us dry when we need it the most. In this presentation, we will revisit several obstacles that can hinder the success of probably any experimental work. The idea behind the presentation is to give a humorous perspective on the daily life of an experimenter. Specifically, we will address mistakes made during early deployments of the long-range WindScanner system, DTU Wind Energy’s unique mobile multi-lidar instrument. For the end, we will present the methodology for objectifying WindScanner experiments that arose from past mistakes, and review how this methodology was applied in the case of the Perdigão 2015 experiment, which led to unprecedented datasets of flow measurements in complex terrain. Tuesday, September 20, 2016 11:00-12:00 noon 216 DeBartolo Dr. Nikola Vasiljevi c Postdoctoral Researcher DTU Wind Energy Technical University of Denmark Lyngby, Denmark If you are rested in meeting individually with Dr . Vasiljevic, please contact Debbie at 631-1083 Nikola Vasiljević is a postdoctoral researcher at Technical University of Denmark, DTU Wind Energy. He has been working in the wind energy sector over the past 8 years, of which the last 6 years were spent at DTU Wind Energy. Nikola developed the long-range WindScanner system as part of his Ph.D. project. The thesis, which summarizes the project, has received DNV GL PhD award for the best Ph.D. thesis in renewable energy for 2015. Nikola’s scope of work covers the management and execution of the entire lifecycle of atmospheric experiments, development of multi-lidar instruments, and assessment and improvement of laser beam pointing accuracy. Currently, Nikola designs and manages several large atmospheric experiments within the New European Wind Atlas project.