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http://dx.doi.org/10.7836/kses.2017.37.6.069

Optimal Operation Schedule of Semi-Fixed PV System and Its Effect on PV Power Generation Efficiency  

Kwak, In-Kyu (Department of Architectural Engineering, University of Seoul)
Mun, Sun-Hye (Department of Architectural Engineering, University of Seoul)
Huh, Jung-Ho (Department of Architectural Engineering, University of Seoul)
Publication Information
Journal of the Korean Solar Energy Society / v.37, no.6, 2017 , pp. 69-77 More about this Journal
Abstract
The amount of solar irradiation obtained by a photovoltaic (PV) solar panel is the major factor determining the power generated by a PV system, and the array tilt angle is critical for maximizing panel radiation acquisition. There are three types of PV systems based on the manner of setting the array tilt angle: fixed, semi-fixed, and tracking systems. A fixed system cannot respond to seasonal solar altitude angle changes, and therefore cannot absorb the maximum available solar radiation. The tracking system continually adjusts the tilt angle to absorb the maximum available radiation, but requires additional cost for equipment, installation, operation, and maintenance. The semi-fixed system is only adjusted periodically (usually seasonally) to obtain more energy than a fixed system at an overall cost that is less than a tracking system. To maximize semi-fixed system efficiency, determining the optimal tilt angle adjustment schedule are required. In this research, we conducted a simulation to derive an optimal operation schedule for a semi-fixed system in Seoul, Korea (latitude $37.5^{\circ}$). We implemented a solar radiation acquisition model and PV genereation model on MATLAB. The optimal operation schedule was derived by changing the number of tilt angle adjustments throughout a year using a Dynamic Algorithm. The results show that adjusting the tilt angle 4 times a year was the most appropriate. and then, generation amount of PV system increased 2.80% compared with the fixed system. This corresponds to 99% compared to daily adjustment model. This increase would be quite valid as the PV system installation area increased.
Keywords
PV system; Semi-fixed PV system; Tilt anlge; Optimization;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Korea Energy Economics Institute. A renewable energy supply statistics, 2015.
2 Kang, S.,Lee Y., Hwang J., and Cho, Y. The Analysis of the Renewable Energy Supply Ratio for the School Building Applied PV System, Solar Energy, Vol. 32, No. 2, pp. 50-57, 2012.
3 Kim, D., Shin, U., and Yoon, J., Annual Energy Yield Prediction of Building Added PV System Depending on the Installation Angle and the Location in Korea, Journal of Korea Institude of Ecological Architecture And Environment, Vol. 14, No. 1, pp. 67-74, 2014.
4 Yu, G., Lee, Y., So, J., Seong, S., and Yu, B. The Study on Optimum Installation Angle of Photovoltaic Arrays Using the Expert System, Journal of the Korean Solar Energy Society, Vol. 27, No. 3,pp. 107-115, 2007.
5 Tarek O. K., Makbul A. M. R., and Yusuf, A. A., On the Estimation of the Optimum Tilt Angle of PV Panel in Saudi Arabia, Renewalble and Sustainable Energy Reviews, Vol. 65, pp. 626-634, 2016.   DOI
6 Kwak, I., Mun, S., Park, K., and Huh, J., Optimal Operation Schedule for Semi-fixed PV System, 9th IEEES, 2017.
7 Duffie, J. and Beckman, W., Solar Engineering of Thermal Processes, Third Edition. New York, John Wiley & ons Inc, 2006.
8 Milan, D. and Vladimir, N., Comparison of Optimum Tilt Angles of Solar Collectors Determined at Yearly, Seasonal and Monthly Levels, Energy Conversion and Management, Vol. 97, pp. 121-131, 2015.   DOI
9 David L., William E., and Boyson, Jay K, Sandia pv array performance model, Sandia National Laboratories, 2004.
10 Jinqing P., Lin L., Hongxing Y., and Tao M., Validation of the Sandia Model with Indoor and Outdoor Measurements for Semi-transparent Amorphous Silicon PV Modules, Renewable Energy Vol. 80, pp. 316-323, 2015.   DOI