Khan, Komal S., and Tariq, Muhammad (2014) Accurate monitoring and fault detection in wind measuring devices through wireless sensor networks. Sensors, 14 (11). pp. 22140-22158.

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Abstract

Many wind energy projects report poor performance as low as 60% of the predicted performance. The reason for this is poor resource assessment and the use of new untested technologies and systems in remote locations. Predictions about the potential of an area for wind energy projects (through simulated models) may vary from the actual potential of the area. Hence, introducing accurate site assessment techniques will lead to accurate predictions of energy production from a particular area. We solve this problem by installing a Wireless Sensor Network (WSN) to periodically analyze the data from anemometers installed in that area. After comparative analysis of the acquired data, the anemometers transmit their readings through a WSN to the sink node for analysis. The sink node uses an iterative algorithm which sequentially detects any faulty anemometer and passes the details of the fault to the central system or main station. We apply the proposed technique in simulation as well as in practical implementation and study its accuracy by comparing the simulation results with experimental results to analyze the variation in the results obtained from both simulation model and implemented model. Simulation results show that the algorithm indicates faulty anemometers with high accuracy and low false alarm rate when as many as 25% of the anemometers become faulty. Experimental analysis shows that anemometers incorporating this solution are better assessed and performance level of implemented projects is increased above 86% of the simulated models.

Item ID:	66278
Item Type:	Article (Research - C1)
ISSN:	1424-8220
Keywords:	wind speed monitoring; error detection; wireless sensor networks; site assessment; cup anemometers
Related URLs:	Publisher
Copyright Information:	© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license
Date Deposited:	25 Feb 2021 23:24
FoR Codes:	40 ENGINEERING > 4009 Electronics, sensors and digital hardware > 400906 Electronic sensors @ 50% 40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 50%
SEO Codes:	17 ENERGY > 1708 Renewable energy > 170808 Wind energy @ 60% 22 INFORMATION AND COMMUNICATION SERVICES > 2299 Other information and communication services > 229999 Other information and communication services not elsewhere classified @ 40%
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