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Analysis of Sun Tracking Performance of Various Types of Sun Tracking System used in Parabolic Dish Type Solar Thermal Power Plant

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DOI:10.5302/J.ICROS.2011.17.4.388 ISSN:1976-5622 eISSN:2233-4335

I.

서론

, ,

.

(parabolic dish type solar thermal power plant) .

[1-4]

* (Corresponding Author)

: 2010. 10. 28., : 2011. 1. 10., : 2011. 3. 18.

: ([email protected])

: ([email protected])

2010

(KETEP) (2008-N-SO12-

P-01).

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Analysis of Sun Tracking Performance of Various Types of Sun Tracking System used in Parabolic Dish Type Solar Thermal Power

Plant

, *

(Dong Hyeok Seo1 and Young Chil Park2)

1

I&C Technology

2

Seoul National University of Science and Technology

Abstract: Sun tracking system is the most important subsystem in parabolic dish type solar thermal power plant, since it

determines the amount of thermal energy to be collected, thus affects the efficiency of solar thermal power plant most significantly. Various types of sun tracking systems are currently used. Among them, use of photo sensors to located the sun(which is called sensor type) and use of astronomical algorithm to compute the sun position(which is called program type) are two of the mostly used methods. Recently some uses CCD sensor, like CCD camera, which is called image processing type sun tracking system. This work is concerned with the analysis of sun tracking performance of various types of sun tracking systems currently used in the parabolic dish type solar thermal power plant. We first developed a sun tracking error measurement system. Then, we evaluate the performance of five different types of sun tracking systems, sensor type, program type, hybrid type(use of sensor and computed sun position simultaneously), tracking error compensated program type and image processing type. Experimentally obtained data shows that the tracking error compensated program type sun tracking system is very effective and could provide a good sun tracking performance. Also the data obtained shows that the performance of sensor type sun tracking system is being affected by the cloud significantly, while the performance of a program type sun tracking system is being affected by the sun tracking system's mechanical and installation errors very much. Finally image processing type sun tracking system can provide accurate sun tracking performance, but costs more and requires more computational time.

Keywords: dish type solar thermal power plant, sensor type sun tracking system, program type sun tracking system, hybrid type

sun tracking system, tracking error compensated program type sun tracking system, image processing type sun tracking system

Copyright© ICROS 2011

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태양추적성능 분석을 위한 태양추적시스템의 구성

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Table 1. Specification of experimental sun tracking system.

Azimuth / Elevation

100W AC Servo Motor( 3000 RPM) :2 25075:1, :2 5000:1 : +10° ~ +350°, : -15° ~ +90°

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Fig. 3. Block diagram of sun tracking controller.

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, AC

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태양추적시스템의 구조 및 동작 원리 2.

센서식 태양추적시스템 2.1

.

1. (10KW).

Fig. 1. Parabolic dish type solar thermal power plant(10KW).

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Fig. 2. Experimental sun tracking system.

(a) (b)

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Fig. 4. Schematic diagram of sun tracking sensor and operational principle.

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transform [16]

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Fig. 5. Operational principle of program type sun tracking system.

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Fig. 6. Image processing type sun tracking system.

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Fig. 7. Block diagram of image processing board.

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Fig. 8. Operational principle of tracking error compensated program type sun tracking system.

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(a) 10:00 (b) 12:00 (c) 14:00 (d) 16:00

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Fig. 9. Sun position change in image due to sun tracking error.

(a) Before solar noon (b) After solar noon

10. ( ) .

Fig. 10. Principle of computation of conversion factor(sun tracking error per image pixel).

(5)

(a) Azimuth

(b) Elevation

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Fig. 11. Conversion factor (degree/pixel).

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13, 14, 15

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(a) Clear (b) Foggy (c) Cloudy (d) Heavy Cloudy

12. .

Fig. 12. Sun image under the different cloud conditions.

(a) Azimuth

(b) Elevation

13. .

Fig. 13. Sun tracking error of sensor type sun tracking system on clear day.

(6)

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14 15 ,

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15 ,

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(a) Azimuth

(b) Elevation 14.

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Fig. 14. Sun tracking error of sensor type sun tracking system on a little cloudy day.

(a) Azimuth

(b) Elevation 15.

.

Fig. 15. Sun tracking error of sensor type sun tracking system on heavy cloudy day.

프로그램식 태양추적시스템 2.

.

. 16 ,

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(a) Azimuth

(b) Elevation

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Fig. 16. Sun tracking error of program type sun tracking system.

(a) Azimuth

(b) Elevation

17. .

Fig. 17. Sun tracking error of hybrid type sun tracking system.

(7)

. 복합방식 태양추적시스템

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Fig. 18. Sun tracking error of image processing type sun tracking system.

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    

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 남중시간이전 (4)

  

   

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결론

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,

. (a) Azimuth

(b) Elevation 19.

.

Fig. 19. Sun tracking error of tracking error compensated program type sun tracking system.

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참고문헌

[1] Sode-Shinni and N. Rumart, “A shadow method for automatic tracking,” Solar Energy, vol. 37, no. 3, pp.

245-247, May 1986.

[2] W. A. Lynch and Z. M. Salameh, “Simple electro-optically controlled dual axis sun tracker,” Solar

Energy, vol. 45, no. 2, pp. 65-69, Mar. 1990.

[3] Y. C. Park and Y. H. Kang, “A performance evaluation of sensor type sun tracking system,” J. of the Korean

Solar Energy Society, vol. 21, no. 4, Aug. 2001.

[4] P. Roth, A. Georgiev, and H. Boudinov, “Design and construction of a system for sun tracking,” Renewable

Energy, vol. 29. no. 3, pp. 393-402, Mar. 2004.

[5] J. Meeus, Astronomical Algorithms, Willmann-Bell Inc.

1991.

[6] Y. C. Park and Y. H. Kang, “Computation of sun position for the sun tracking control system of solar concentrator,” J. of the Korean Solar Energy Society, vol. 18, no. 4, Aug. 1998.

[7] B. P. Edwards, “Computer based sun following system,”

Solar Energy, vol. 21, no. 6, pp. 491-496, Nov. 1978.

[8] S. P. Hong et. al., “A study of tracking the sun using image_processing,” CICS, pp. 321-326, 2006.

[9] D. Fontani et. al., “A pinhole camera to track the sun position,” Proc. of ISES World Congress, pp. 1759-1763, 2007.

[10] C. F. Gay, J. W. Yerkes, and J. H. Wilson,

“Performance advantages of two-axis tracking for large flat plate photovoltaic energy systems,” 16th IEEE

Photovoltaic Specialist Conference, pp. 1368-1371, 1982.

[11] A. N. Khalifa and S. S. Al-Mutawalli, “Effect of two axis sun tracking on the performance of compound parabolic concentrator,”

Energy Conversion and

Management, vol. 39, no. 10, pp. 1073-1079, Jul. 1998.

[12] M. S. Al-Sond et. al., “A parabolic solar cooker with automatic two axes sun tracking system,” Applied

Energy, vol. 87, no. 2, pp. 463-470, Feb. 2010.

[13] Y. H. Kang et al., “Demonstration research on solar thermal power using dish type concentrator,” Korea Institute of Energy Research, Report, 2005.

[14] D. H. Seo, “A study on the analysis of sun tracking performances for various sun tracking systems,” Master Thesis, Seoul National University of Technology, Aug.

2010.

[15] F. R. Rubio et al., “Application of new control strategy for sun tracking,” Energy Conversion and Management, vol. 48, no. 7, pp. 2174-2184, July 2007.

[16] K. R. Castleman, Digital Image Processing, Prentice Hall, 1996.

[17] S. E, Lee, “Compensation of heliostat sun tracking error using multilayer neural network based on the extended Kalman filter,” Master Thesis, Seoul National University of Technology, Feb. 2010.

서 동 혁

2008 (

). 2010

( ).

. ,

, .

박 영 칠

16 7 .

수치

Fig. 3. Block diagram of sun tracking controller.
Fig. 5. Operational principle of program type sun tracking system.
Fig. 9. Sun position change in image due to sun tracking error.
Fig. 13. Sun tracking error of sensor type sun tracking system on clear day.
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