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Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data

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  • Liu, Yujun
  • Yao, Ling
  • Jiang, Hou
  • Lu, Ning
  • Qin, Jun
  • Liu, Tang
  • Zhou, Chenghu

Abstract

Tilt angle is a key parameter that affects solar photovoltaic (PV) power generation. Traditional empirical model based on latitude may fail to estimate the optimum tilt angle in regions with large climatic differences. In this study, we propose a framework that incorporates ground with satellite data to determine the optimum tilt angle at any location. We collect global solar radiation measurements of 133 stations in China and estimate the diffuse fraction through Boland–Ridley–Lauret model. Hourly PV power generation is modelled by considering photoelectric conversion process and PV system losses. The results show that the optimum tilt angles are highly correlated with latitude and diffuse fraction with an R of 0.86 and 0.80, respectively. Empirical models reconciled by diffuse fraction allow for spatial estimates of the optimum tilt angle from satellite data to reflect the climatic influence. Furthermore, we explore the benefit from periodically adjusting the tilt angle in China. PV panels fixed at the optimum tilt angle increase the annual power yield by 13.7% compared with horizontally fixed panels. Seasonal adjustment largely increases power yield in winter; additional yield gain of monthly adjustment is very limited; while tracking systems provide the option of achieving double or even triple gains.

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  • Liu, Yujun & Yao, Ling & Jiang, Hou & Lu, Ning & Qin, Jun & Liu, Tang & Zhou, Chenghu, 2022. "Spatial estimation of the optimum PV tilt angles in China by incorporating ground with satellite data," Renewable Energy, Elsevier, vol. 189(C), pages 1249-1258.
    • Handle: RePEc:eee:renene:v:189:y:2022:i:c:p:1249-1258
    DOI: 10.1016/j.renene.2022.03.072
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    as
    1. Rusen, Selmin Ener & Hammer, Annette & Akinoglu, Bulent G., 2013. "Coupling satellite images with surface measurements of bright sunshine hours to estimate daily solar irradiation on horizontal surface," Renewable Energy, Elsevier, vol. 55(C), pages 212-219.
    2. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    3. Tomosk, Steve & Haysom, Joan E. & Hinzer, Karin & Schriemer, Henry & Wright, David, 2017. "Mapping the geographic distribution of the economic viability of photovoltaic load displacement projects in SW USA," Renewable Energy, Elsevier, vol. 107(C), pages 101-112.
    4. 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.
    5. 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.
    6. Lauret, Philippe & Boland, John & Ridley, Barbara, 2013. "Bayesian statistical analysis applied to solar radiation modelling," Renewable Energy, Elsevier, vol. 49(C), pages 124-127.
    7. Xiaoyuan Li & Denise L. Mauzerall & Mike H. Bergin, 2020. "Global reduction of solar power generation efficiency due to aerosols and panel soiling," Nature Sustainability, Nature, vol. 3(9), pages 720-727, September.
    8. Jiang, Hou & Lu, Ning & Qin, Jun & Tang, Wenjun & Yao, Ling, 2019. "A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    9. Xu, Luting & Long, Enshen & Wei, Jincheng & Cheng, Zhu & Zheng, Hanjie, 2021. "A new approach to determine the optimum tilt angle and orientation of solar collectors in mountainous areas with high altitude," Energy, Elsevier, vol. 237(C).
    10. Skouri, Safa & Ben Haj Ali, Abdessalem & Bouadila, Salwa & Ben Salah, Mohieddine & Ben Nasrallah, Sassi, 2016. "Design and construction of sun tracking systems for solar parabolic concentrator displacement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1419-1429.
    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. Torres, J.L. & De Blas, M. & García, A. & de Francisco, A., 2010. "Comparative study of various models in estimating hourly diffuse solar irradiance," Renewable Energy, Elsevier, vol. 35(6), pages 1325-1332.
    14. Schuster, Christian Stefano, 2020. "The quest for the optimum angular-tilt of terrestrial solar panels or their angle-resolved annual insolation," Renewable Energy, Elsevier, vol. 152(C), pages 1186-1191.
    15. Hafez, A.Z. & Yousef, A.M. & Harag, N.M., 2018. "Solar tracking systems: Technologies and trackers drive types – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 754-782.
    16. Nicolás-Martín, Carolina & Santos-Martín, David & Chinchilla-Sánchez, Mónica & Lemon, Scott, 2020. "A global annual optimum tilt angle model for photovoltaic generation to use in the absence of local meteorological data," Renewable Energy, Elsevier, vol. 161(C), pages 722-735.
    17. Jacovides, C.P. & Tymvios, F.S. & Assimakopoulos, V.D. & Kaltsounides, N.A., 2006. "Comparative study of various correlations in estimating hourly diffuse fraction of global solar radiation," Renewable Energy, Elsevier, vol. 31(15), pages 2492-2504.
    18. Wang, Bangjun & Ji, Feng & Zheng, Jie & Xie, Kejia & Feng, Zhaolei, 2021. "Carbon emission reduction of coal-fired power supply chain enterprises under the revenue sharing contract: Perspective of coordination game," Energy Economics, Elsevier, vol. 102(C).
    19. Chinchilla, Monica & Santos-Martín, David & Carpintero-Rentería, Miguel & Lemon, Scott, 2021. "Worldwide annual optimum tilt angle model for solar collectors and photovoltaic systems in the absence of site meteorological data," Applied Energy, Elsevier, vol. 281(C).
    20. Boland, John & Ridley, Barbara & Brown, Bruce, 2008. "Models of diffuse solar radiation," Renewable Energy, Elsevier, vol. 33(4), pages 575-584.
    21. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
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