This paper mainly studies Weather Stations part of the wind power station. The use of wind energy in practice is carried out using the facilities of the wind in which the kinetic energy of the windscreen flow is converted into mechanical energy wind speed, then electrical energy alternator. The effective operation of the wind turbine is dependent on the direction of the wind. Speed air density, which in turn depends on the temperature and humidity. Thus, the speed of the wind worked effectively in its composition must include the weather. Meteorological station also performs the role of prevention. When the sharp wind speed or increase wind speed above the maximum value, it sends a signal to the lock assembly wind to prevent wind turbine technology from damage. The work of the meteorological stations design as part of the Wind Energy Station is considered. The complex technical devices are used for its implementation. A set of technical means used to its implementation and designed system consists of a temperature, humidity, wind speed, wind direction and rain gauge sensors that are connected to PIC16f876A microcontroller.
References
[1]
Muller, C.L., Chapman, L., Johnston, S., Kidd, C., Illingworth, S., Foody, G., Leigh, R.R., et al. (2015) Crowdsourcing for Climate and Atmospheric Sciences: Current Status and Future Potential. International Journal of Climatology, 35, 3185-3203.
https://doi.org/10.1002/joc.4210
[2]
Al Smadi, T.A. (2013) Design and Implementation of Double Base Integer Encoder of Term Metrical to Direct Binary. Journal of Signal and Information Processing, 4, 370. https://doi.org/10.4236/jsip.2013.44047
[3]
Cassola, F. and Burlando, M. (2012) Wind Speed and Wind Energy Forecast through Kalman Filtering of Numerical Weather Prediction Model Output. Applied Energy, 99, 154-166. https://doi.org/10.1016/j.apenergy.2012.03.054
[4]
Budischak, C., Sewell, D., Thomson, H., Mach, L., Veron, D.E. and Kempton, W. (2013) Cost-Minimized Combinations of Wind Power, Solar Power and Electrochemical Storage, Powering the Grid up to 99.9% of the Time. Journal of Power Sources, 225, 60-74. https://doi.org/10.1016/j.jpowsour.2012.09.054
[5]
Sliz-Szkliniarz, B. and Vogt, J. (2011) GIS-Based Approach for the Evaluation of Wind Energy Potential: A Case Study for the Kujawsko-Pomorskie Voivodeship. Renewable and Sustainable Energy Reviews, 15, 1696-1707.
https://doi.org/10.1016/j.rser.2010.11.045
[6]
Ali, H., Qawaqzeh, M.Z., Abbas, M. and Al Smadi, T. (2015) Implementation & Comparative Analysis of 10, 18 & 24 Level Diode Clamped Inverters Using “Trust Region Dog Leg” Method. Circuits and Systems, 6, 70.
https://doi.org/10.4236/cs.2015.63008
[7]
Nema, P., Nema, R.K. and Rangnekar, S. (2009) A Current and Future State of Art Development of Hybrid Energy System Using Wind and PV-Solar: A Review. Renewable and Sustainable Energy Reviews, 13, 2096-2103.
[8]
Benghanem, M. (2010) RETRACTED: A Low Cost Wireless Data Acquisition System for Weather Station Monitoring. Renewable Energy, 35, 862-872.
https://doi.org/10.1016/j.renene.2009.08.024
[9]
Addink, J. and Givargis, T. (2004) U.S. Patent No. 6714134. U.S. Patent and Trademark Office, Washington DC.
[10]
Schuol, J. and Abbaspour, K.C. (2007) Using Monthly Weather Statistics to Generate Daily Data in a SWAT Model Application to West Africa. Ecological Modelling, 201, 301-311. https://doi.org/10.1016/j.ecolmodel.2006.09.028