Abstract
Main objective of this paper is to analyze and propose solution for choosing optimal location for wind speed measurement in urban areas. When measuring wind speed on 12 months period it is crucial to find spot with best wind characteristics. In planning wind power plant there must be exact information about wind speed so it is highly important to have measurement in optimal location, where wind aggregate will be placed. This paper shows process of choosing optimal location using short-term measurement and Ansys software for wind simulation. Final goal is to have best output on long-term measurement and wind aggregate power.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Wood, D.: Small Wind Turbines Analysis, Design, and Application. University of Calgary University, Calgary (2011)
Saoke, C.O.: Analysis of wind speeds based on the Weibull model and data correlation for wind pattern description for a selected site in Juja, Kenya, Jomo Kenyatta University of Agriculture and Technology (2011)
Helgason, K.: Selecting optimum location and type of wind turbines in Iceland, Master of Science in Decision Engineering, School of Science and Engineering Reykjavík University (2012)
Manwell, J.F., McGowan, J.G.: Wind Energy Explained, Theory Design and Application, 2nd edn. University of Massachusetts, Boston (2009)
ANSYS Fluid Dynamics Verification Manual-ANSYS, Inc., Southpointe, 275 Technology Drive Canonsburg, PA 15317, October 2012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Nusmir, M., Adis, N., Mensur, K. (2019). Selection of the Optimal Micro Location for Wind Energy Measuring in Urban Areas. In: Avdaković, S. (eds) Advanced Technologies, Systems, and Applications III. IAT 2018. Lecture Notes in Networks and Systems, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-030-02577-9_40
Download citation
DOI: https://doi.org/10.1007/978-3-030-02577-9_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02576-2
Online ISBN: 978-3-030-02577-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)