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Statistical analysis of power generation of semi-transparent photovoltaic (STPV) for diversity in building envelope design: A mock-up test by azimuth and tilt angles

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  • Kwak, Younghoon
  • Mun, Sun-Hye
  • Park, Chang-Dae
  • Lee, Sang-Moon
  • Huh, Jung-Ho

Abstract

Semi-transparent photovoltaics (STPVs) have received increasing attention as an energy-efficient building envelope that uses renewable energy. It is necessary to find the optimal combination of the azimuth angle and tilt angle to install the STPV and to secure high-power generation. However, various constraints limit the installation of STPVs at optimal angles. In other words, there may be a conflict between the building envelope design and STPV design depending on the circumstances, thereby limiting the design. Therefore, this study presents a statistical analysis of power generation with respect to angle to determine the possibilities in building envelope design. Two identical STPV modules each were installed at five azimuth and tilt angles (i.e., two STPV modules each on 25 sides), and the power generation for one year was measured. Then, 1392 h of data were sampled and a statistical analysis was conducted to compare the power generation. First, the representative values were set after comparing the power generation of the two modules at each angle through the Mann–Whitney test. Then, the power generation of each angle was compared through the Kruskal–Wallis test, and a post hoc analysis was conducted. As a result, power generation for five azimuth angles (e.g., +90° (west), +45° (southwest), 0° (south), −45° (southeast), and −90° (east)) was statistically identical in performance at tilt angles of 3° and 15°. Therefore, it is more desirable to focus designs on securing more area than considering optimal azimuth angle in the generation of maximum power through STPVs, at tilt angles of 3° and 15°. Moreover, STPVs for the tilt angles of 75° and 90° were statistically identical in performance when facing west, southwest, southeast, and east. This suggests that, when an STPV is installed at 75° or 90° of the tilt angle, if it cannot be installed on the south, it will provide statistically identical performance even if it is installed at any other azimuth angle. In light of these findings, this study concludes by providing guidelines for the application of STPVs in early architectural design.

Suggested Citation

  • Kwak, Younghoon & Mun, Sun-Hye & Park, Chang-Dae & Lee, Sang-Moon & Huh, Jung-Ho, 2022. "Statistical analysis of power generation of semi-transparent photovoltaic (STPV) for diversity in building envelope design: A mock-up test by azimuth and tilt angles," Renewable Energy, Elsevier, vol. 188(C), pages 651-669.
    • Handle: RePEc:eee:renene:v:188:y:2022:i:c:p:651-669
    DOI: 10.1016/j.renene.2022.02.048
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    1. Dey, Sumon & Lakshmanan, Madan Kumar & Pesala, Bala, 2018. "Optimal solar tree design for increased flexibility in seasonal energy extraction," Renewable Energy, Elsevier, vol. 125(C), pages 1038-1048.
    2. MacDougall, Hillary & Tomosk, Steve & Wright, David, 2018. "Geographic maps of the impact of government incentives on the economic viability of solar power," Renewable Energy, Elsevier, vol. 122(C), pages 497-506.
    3. Sorgato, M.J. & Schneider, K. & Rüther, R., 2018. "Technical and economic evaluation of thin-film CdTe building-integrated photovoltaics (BIPV) replacing façade and rooftop materials in office buildings in a warm and sunny climate," Renewable Energy, Elsevier, vol. 118(C), pages 84-98.
    4. Chae, Young Tae & Kim, Jeehwan & Park, Hongsik & Shin, Byungha, 2014. "Building energy performance evaluation of building integrated photovoltaic (BIPV) window with semi-transparent solar cells," Applied Energy, Elsevier, vol. 129(C), pages 217-227.
    5. Li, Yanting & Su, Yan & Shu, Lianjie, 2014. "An ARMAX model for forecasting the power output of a grid connected photovoltaic system," Renewable Energy, Elsevier, vol. 66(C), pages 78-89.
    6. Al Garni, Hassan Z. & Awasthi, Anjali & Wright, David, 2019. "Optimal orientation angles for maximizing energy yield for solar PV in Saudi Arabia," Renewable Energy, Elsevier, vol. 133(C), pages 538-550.
    7. Cheng, C.L. & Sanchez Jimenez, Charles S. & Lee, Meng-Chieh, 2009. "Research of BIPV optimal tilted angle, use of latitude concept for south orientated plans," Renewable Energy, Elsevier, vol. 34(6), pages 1644-1650.
    8. Ullah, Asad & Imran, Hassan & Maqsood, Zaki & Butt, Nauman Zafar, 2019. "Investigation of optimal tilt angles and effects of soiling on PV energy production in Pakistan," Renewable Energy, Elsevier, vol. 139(C), pages 830-843.
    9. Sadineni, Suresh B. & Atallah, Fady & Boehm, Robert F., 2012. "Impact of roof integrated PV orientation on the residential electricity peak demand," Applied Energy, Elsevier, vol. 92(C), pages 204-210.
    10. Cervone, Guido & Clemente-Harding, Laura & Alessandrini, Stefano & Delle Monache, Luca, 2017. "Short-term photovoltaic power forecasting using Artificial Neural Networks and an Analog Ensemble," Renewable Energy, Elsevier, vol. 108(C), pages 274-286.
    11. Lv, Yuexia & Si, Pengfei & Rong, Xiangyang & Yan, Jinyue & Feng, Ya & Zhu, Xiaohong, 2018. "Determination of optimum tilt angle and orientation for solar collectors based on effective solar heat collection," Applied Energy, Elsevier, vol. 219(C), pages 11-19.
    12. Rowlands, Ian H. & Kemery, Briana Paige & Beausoleil-Morrison, Ian, 2011. "Optimal solar-PV tilt angle and azimuth: An Ontario (Canada) case-study," Energy Policy, Elsevier, vol. 39(3), pages 1397-1409, March.
    13. Peng, Jinqing & Curcija, Dragan C. & Lu, Lin & Selkowitz, Stephen E. & Yang, Hongxing & Zhang, Weilong, 2016. "Numerical investigation of the energy saving potential of a semi-transparent photovoltaic double-skin facade in a cool-summer Mediterranean climate," Applied Energy, Elsevier, vol. 165(C), pages 345-356.
    14. Almonacid, F. & Rus, C. & Pérez, P.J. & Hontoria, L., 2009. "Estimation of the energy of a PV generator using artificial neural network," Renewable Energy, Elsevier, vol. 34(12), pages 2743-2750.
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