On the Control of the Collector Field Outlet Temperature of Shiraz 250 KW Solar Power Plant

Abstract:

This paper presents a control study of the real Shiraz 250KW solar power plant together with a modeling and a monitoring interface. Here, a PID controller is developed to control the outlet oil temperature of the collector field of the solar power plant as a standard tool for industrial automation. First the power plant is modeled within MATLAB environment and the model is verified with the real data of the power plant. Then an HMI environment is developed within the LabVIEWsoftwarewhile incorporating the model developed in MATLAB. The simulation results showed that a fixed-coefficient PID failed to provide the desired results over a year and the best coefficients for each month were calculated. The friendly and accurate developed environment within MATLAB and LabVIEW provide a valuable tool for modeling and control studies and monitoring of the real power plant.

• Periodical: Applied Mechanics and Materials (Volumes 260-261)
• Pages: 163-168
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.260-261.163
• Online since: December 2012
• Authors: Mostafa Zamani Mohi Abadi, Seyed Mohammad Hessam Mohammadi, Seyed Ali Akbar Safavi, Seyed Vahid Naghavi
• Keywords: Collector Field Outlet Temperature Control, LabVIEW, MATLAB, Solar Power Plant

References

[1] E.F. Camacho, M. Berenguel (April, 1997), Advanced Control Of Solar Plants, London, Springer.

[2] Rubio, F.R., (1985). Adaptive control of industrial processes. Application a solar plant (in Spanish), Ph.D. Thesis, University of Seville, Spain.

[3] Rubio, F.R., Carmona, R., Camacho, E.F., (1986). Adaptive control of the ACUREX field. In: Kesserlring, P., Selvage, C.S. (Eds. ), The IEA/SSPS Solar Thermal Power Plants, vol. 2. Springer, Berlin, p.5. 2. 1–5. 2. 18.

DOI: 10.1007/978-3-642-82680-1_5

[4] Berenguel, M., Arahal, M.R., Camacho, E.F., (1998). Modeling free response of a solar plant for predictive control. Control Engineering Practice 6, 1257–1266.

DOI: 10.1016/s0967-0661(98)00126-9

[5] Pickhardt, R., (2000a). Nonlinear modeling and adaptive predictive control of a solar power plant. Control Engineering Practice 8 (8), 937–947.

DOI: 10.1016/s0967-0661(00)00009-5

[6] E.F. Camacho, F.R. Rubio , M. Berenguel, L. Valenzuela, (2007), A survey on control schemes for distributed solar collector fields. Part II: Advanced control approaches, 1252–1272 JOURNAL SOLAR ENERGY.

DOI: 10.1016/j.solener.2007.01.001

[7] Yaghoubi,M. Azizian, K. Kenary,A. (2003). Simulation Of Shiraz Solar Power Plant For Optimal Assessment., RenewableEnergy , Vol. 28, No. 1985-(1998).

DOI: 10.1016/s0960-1481(03)00069-7

[8] M. ZamaniMohiAbadi, S.A.A. Safavi , S. M. H. Mohammadi, S. V. Naghavi, (2012), Design And Development Shiraz Solar Power Plant Simulator 250kw, Iran, Kerman, 2nd Annual Clean Energy Conference (ACEC2012).

[9] M. Daneshyar, (1978), Solar radiation statistics for Iran, Solar Energy 21, pp.345-349.

DOI: 10.1016/0038-092x(78)90013-0

[10] Meaburn, A., Hughes, F.M., (1996). A simple predictive controller for use in large scale arrays of parabolic trough collectors. Solar Energy 566, 583–595.

DOI: 10.1016/0038-092x(96)00003-5

[11] Wettermark, G. (1988). Performance of the SSPS solar power plants at Almerı a. J. Solar Energy Eng. 110, 235–246.

DOI: 10.1115/1.3268263

[12] Safavi, Ali Akbar, Rezvani, M., (2008), Principles and Methods of Industrial Control Printing, Tehran University researchers published.