Experimental Study for the Development of a Wireless Communication System in a Solar Central Tower Facility
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Experimental Study for the Development of a Wireless Communication System in a Solar Central Tower Facility

Authors: Victor H. Benitez, Ramon V. Armas-Flores, Jesus H. Pacheco-Ramirez

Abstract:

Systems transforming solar energy into electrical power have emerged as a viable source of clean, renewable energy. Solar power tower technology is a good example of this type of system, which consists of several mobile mirrors, called heliostats, which reflect the sun's radiation to the same point, located on top of a tower at the center of heliostat field, for collection or transformation into another type of energy. The so-called Hermosillo’s Solar Platform (Plataforma Solar de Hermosillo, PSH, in Spanish) is a facility constituted with several heliostats, its aim and scope is for research purposes. In this paper, the implementation of a wireless communication system based on intelligent nodes is proposed in order to allow the communication and control of the heliostats in PSH. Intelligent nodes transmit information from one point to another, and can perform other actions that allow them to adapt to the conditions and limitations of a field of heliostats, thus achieving effective communication system. After deployment of the nodes in the heliostats, tests were conducted to measure the effectiveness of the communication, and determine the feasibility of using the proposed technologies. The test results were always positive, exceeding expectations held for its operation in the field of heliostats. Therefore, it was possible to validate the efficiency of the wireless communication system to be implemented in PSH, allowing communication and control of the heliostats.

Keywords: Solar energy, heliostat, wireless communication, intelligent node.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339145

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1674

References:


[1] Chia-Yen, L., Po-Cheng, C., Che-Ming, C. y Chiu-Feng, L., 2009. Sun tracking systems: a review. Sensors (Basel, Switzerland), 9(5), pp.3875–90.
[2] García-Sobrinos, G., Salvador-Villa, I. y Serradilla-Echarri, J., 2007. Tower of power. Civil Engineering (08857024), 77(October), pp.42–50.
[3] LACYQS, 2011. Campo de Pruebas de Helióstatos (CPH). (Online) Disponible en: http://lacyqs.cie.unam.mx/es/index.php/instalaciones/ campo-de-pruebas-de-heliostatos.
[4] Iriarte-Cornejo, C., 2013. Automatización de Sistema de Control para Campo de Helióstatos. MC. Instituto Tecnológico de Chihuahua.
[5] Mojiri, A., Taylor, R., Thomsen, E., Rosengarten, G., 2013. Spectral Beam Splitting for Efficient Conversion of Solar Energy - A Review. Renewable and Sustainable Energy Reviews, 28, pp.654-663.
[6] Weinstein, L., Kraemer, D., McEnaney, K., Chen, G., 2014. Optical cavity for improved performance of solar receivers in solar-thermal systems. Solar Energy, 108, pp.69-79.
[7] Krothapalli, A., Greska, B., 2012. Solar Concentrators. En: Chen, W. Y., Seiner, J., Suzuki, T., Lackner, M., ed. Handbook of Climate Change Mitigation. Springer US, pp.1263-1294.
[8] Kalogirou, S. A., 2004. Solar thermal collectors and applications. Progress in Energy and Combustion Science, 30(3), pp.231-295.
[9] Her-Terng, Y. y Chieh-Li, C., 2011. Fuzzy sliding mode controller design for maximum power point tracking control of a solar energy system. Transactions of the Institute of Measurement and Control, 34(5), pp.557–565.
[10] Kamal, A.R.M. y Hamid, M.A., 2013. Reliable data approximation in wireless sensor network. Ad Hoc Networks, 11(8), pp.2470–2483.
[11] Lim, A., 2010. Smart Sensor Networks. En: V. Cutsuridis, A. Hussain y J.G. Taylor, eds. Perception-action cycle models, architectures and hardware. Londres : Springer, pp.675-609.
[12] Dargie, W., Poellabauer, C., 2010. Motivation for a Network of Wireless Sensor Nodes. En: Shen, X., Pan, Y., ed. Fundamentals of Wireless Sensor Networks, Theory and Practice. Reino Unido: Wiley, pp.3-15.
[13] Sachenko, A., Kochan, V., Turchenko, V., Tymchyshyn, V.,Vasylkiv, N., 1999. Intelligent Nodes for Distributed Sensor Network. En: IEEE, Instrumentation and Measurement Technology Conference. Venecia, 1999.
[14] Yen Joe, Y., Khuen Ho, W., Wee Lim, K., Qiang Ding, Z., Bing Zhang, J., Voon Ling, K., Romagnoli, J., 2006. Clustering Intelligent Sensor Nodes for Distributed Fault Detection & Diagnosis. En: IEEE, International Conference on Industrial Informatics. Singapore, 16-18 de agosto 2006.
[15] Kühner, J., 2009. Wireless Communication. En: Expert .NET Micro Framework. Apress, pp.203-208
[16] Ramya, C. M., Shanmugaraj, M., Prabakaran, R., 2011. Study on ZigBee technology. En: 3rd International Conference on Electronics Computer Technology (ICECT). Kanyakumari, India, 8-10 de abril 2011. IEEE.
[17] Ondřej, S., Zdenĕk, B., Petr, F., Ondřej, H., 2006. ZigBee Technology and Device Design. En: International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies. 23-29 de Abril 2006, IEEE.
[18] Farahani, S., 2011. ZigBee Wireless Networks and Transceivers. Newnes.
[19] Howitt, I., Gutierrez, J. A., 2003. IEEE 802.15.4 Low Rate –Wireless Personal Area Network Coexistence Issues. Wireless Communications and Networking, 3, pp.1481-1486.