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A new approach to estimating the diffuse irradiance on inclined surfaces

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  • Vartiainen, Eero

Abstract

The diffuse irradiance on an inclined surface is usually estimated from the hourly horizontal irradiance measurements with a slope irradiance model. It is also possible to calculate the slope irradiance by integrating the sky radiance distribution generated with a sky radiance model. In this paper, five slope irradiance models and six sky distribution models are compared with the hourly irradiance measurements on 24 inclined surfaces in Turku, Finland (60°27′N, 22°18′E). Of the sky distribution models, the Perez all-weather sky model agrees best with the measurements. Of the slope irradiance models, the Reindl model has the lowest average mean bias difference (MBD), but the Perez slope irradiance model gives the lowest root mean square difference (RMSD) for all but one of the 24 surface orientations. The average RMSD for the Perez all-weather sky model is 1.5 percentage points lower than for the Perez slope irradiance model.

Suggested Citation

  • Vartiainen, Eero, 2000. "A new approach to estimating the diffuse irradiance on inclined surfaces," Renewable Energy, Elsevier, vol. 20(1), pages 45-64.
  • Handle: RePEc:eee:renene:v:20:y:2000:i:1:p:45-64
    DOI: 10.1016/S0960-1481(99)00086-5
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    1. Vartiainen, Eero, 1999. "An anisotropic shadow ring correction method for the horizontal diffuse irradiance measurements," Renewable Energy, Elsevier, vol. 17(3), pages 311-317.
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    2. Juha Koskela & Pertti Järventausta, 2023. "Demand Response with Electrical Heating in Detached Houses in Finland and Comparison with BESS for Increasing PV Self-Consumption," Energies, MDPI, vol. 16(1), pages 1-25, January.
    3. García, Ignacio & de Blas, Marian & Hernández, Begoña & Sáenz, Carlos & Torres, José Luis, 2021. "Diffuse irradiance on tilted planes in urban environments: Evaluation of models modified with sky and circumsolar view factors," Renewable Energy, Elsevier, vol. 180(C), pages 1194-1209.
    4. Juha Koskela & Antti Mutanen & Pertti Järventausta, 2020. "Using Load Forecasting to Control Domestic Battery Energy Storage Systems," Energies, MDPI, vol. 13(15), pages 1-20, August.
    5. Li, Danny H.W. & Lau, Chris C.S. & Lam, Joseph C., 2005. "Predicting daylight illuminance on inclined surfaces using sky luminance data," Energy, Elsevier, vol. 30(9), pages 1649-1665.
    6. Roberts, Justo José & Mendiburu Zevallos, Andrés A. & Cassula, Agnelo Marotta, 2017. "Assessment of photovoltaic performance models for system simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1104-1123.
    7. Koskela, Juha & Rautiainen, Antti & Järventausta, Pertti, 2019. "Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization," Applied Energy, Elsevier, vol. 239(C), pages 1175-1189.
    8. Okoye, Chiemeka Onyeka & Solyalı, Oğuz, 2017. "Optimal sizing of stand-alone photovoltaic systems in residential buildings," Energy, Elsevier, vol. 126(C), pages 573-584.
    9. Li, Danny H.W. & Cheung, Gary H.W., 2005. "Study of models for predicting the diffuse irradiance on inclined surfaces," Applied Energy, Elsevier, vol. 81(2), pages 170-186, June.
    10. Lubitz, William David, 2011. "Effect of manual tilt adjustments on incident irradiance on fixed and tracking solar panels," Applied Energy, Elsevier, vol. 88(5), pages 1710-1719, May.
    11. Li, Danny H.W. & Lou, Siwei, 2018. "Review of solar irradiance and daylight illuminance modeling and sky classification," Renewable Energy, Elsevier, vol. 126(C), pages 445-453.
    12. Lee, Kwanho & Yoo, Hochun & Levermore, Geoff J., 2013. "Quality control and estimation hourly solar irradiation on inclined surfaces in South Korea," Renewable Energy, Elsevier, vol. 57(C), pages 190-199.

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