Optimization of wind turbine location in urban environment

• Main Author: Hågbo, Trond-Ola
• Format: Master Thesis
• Language: English
• Published: UiT The Arctic University of Norway 2017
• Subjects: VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430; VDP::Mathematics and natural science: 400::Physics: 430; VDP::Teknologi: 500::Miljøteknologi: 610; VDP::Technology: 500::Environmental engineering: 610; Renewable energy; Wind turbine; Computational fluid dynamics; Geographical information system; EOM-3901; Arctic; Norway; Grønnåsen; Climate change; Arctic University of Norway; UiT The Arctic University of Norway
• Online Access: https://hdl.handle.net/10037/11620

Making energy clean, reliable and readily available is essential for fighting climate change and to supply an ever-rising global power demand. The aim of the study is to identify optimal locations for a wind turbine to be joined to a small-scale hybrid system at the main campus of UiT – The Arctic U...