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A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system

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  • Hong, Taehoon
  • Koo, Choongwan
  • Park, Joonho
  • Park, Hyo Seon

Abstract

The global PV (photovoltaic) generation market has been rapidly growing. In the introduction of a PV system, the electricity generation efficiency of the PV system depends on regional factors and on-site installation factors. It has a significant effect on the returns on investment. Therefore, this study conducted a sensitivity analysis on how the impact factors of the rooftop PV system affect its electricity generation. Based on the results of the sensitivity analysis, this study aimed to ultimately develop a GIS-based optimization model for estimating the electricity generation of the rooftop PV system.

Suggested Citation

  • Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
  • Handle: RePEc:eee:energy:v:65:y:2014:i:c:p:190-199
    DOI: 10.1016/j.energy.2013.11.082
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    References listed on IDEAS

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    1. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    2. Lam, K.H. & Lai, T.M. & Lo, W.C. & To, W.M., 2012. "The application of dynamic modelling techniques to the grid-connected PV (photovoltaic) systems," Energy, Elsevier, vol. 46(1), pages 264-274.
    3. Liu, Gang & Rasul, M.G. & Amanullah, M.T.O. & Khan, M.M.K., 2012. "Techno-economic simulation and optimization of residential grid-connected PV system for the Queensland climate," Renewable Energy, Elsevier, vol. 45(C), pages 146-155.
    4. Ubertini, Stefano & Desideri, Umberto, 2003. "Performance estimation and experimental measurements of a photovoltaic roof," Renewable Energy, Elsevier, vol. 28(12), pages 1833-1850.
    5. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    6. Milan, Christian & Bojesen, Carsten & Nielsen, Mads Pagh, 2012. "A cost optimization model for 100% renewable residential energy supply systems," Energy, Elsevier, vol. 48(1), pages 118-127.
    7. Zhai, Pei & Larsen, Peter & Millstein, Dev & Menon, Surabi & Masanet, Eric, 2012. "The potential for avoided emissions from photovoltaic electricity in the United States," Energy, Elsevier, vol. 47(1), pages 443-450.
    8. Kaldellis, John & Zafirakis, Dimitrios, 2012. "Experimental investigation of the optimum photovoltaic panels’ tilt angle during the summer period," Energy, Elsevier, vol. 38(1), pages 305-314.
    9. Ordóñez, J. & Jadraque, E. & Alegre, J. & Martínez, G., 2010. "Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 2122-2130, September.
    10. Gopinathan, K.K. & Maliehe, N.B. & Mpholo, M.I., 2007. "A study on the intercepted insolation as a function of slope and azimuth of the surface," Energy, Elsevier, vol. 32(3), pages 213-220.
    11. Tang, Runsheng & Wu, Tong, 2004. "Optimal tilt-angles for solar collectors used in China," Applied Energy, Elsevier, vol. 79(3), pages 239-248, November.
    12. Paudel, Ananda Mani & Sarper, Hűseyin, 2013. "Economic analysis of a grid-connected commercial photovoltaic system at Colorado State University-Pueblo," Energy, Elsevier, vol. 52(C), pages 289-296.
    13. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
    14. Jafarkazemi, Farzad & Saadabadi, S. Ali, 2013. "Optimum tilt angle and orientation of solar surfaces in Abu Dhabi, UAE," Renewable Energy, Elsevier, vol. 56(C), pages 44-49.
    15. Cherrington, R. & Goodship, V. & Longfield, A. & Kirwan, K., 2013. "The feed-in tariff in the UK: A case study focus on domestic photovoltaic systems," Renewable Energy, Elsevier, vol. 50(C), pages 421-426.
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