Publications#

You can find my current publications on:

ORCID: 0000-0003-1993-9408
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2024#

Daxini, R., Wu, Y. (2024). Review of methods to account for the solar spectral influence on photovoltaic device performance. Energy. doi: 10.1016/j.energy.2023.129461

2023#

Daxini, R., Wilson, R., Wu, Y. (2023). Modelling the spectral influence on photovoltaic device performance using the average photon energy and the depth of a water absorption band for improved forecasting. Energy. doi: 10.1016/j.energy.2023.129046

Theristis, M., Riedel‐Lyngskær, N., Stein, J. S., Deville, L., Micheli, L., Driesse, A., Hobbs, W. B., Ovaitt, S., Daxini, R., Barrie, D., Campanelli, M., Hodges, H., Ledesma, J. R., Lokhat, I., McCormick, B., Meng, B., Miller, B., Motta, R., Noirault, E., Parker, M., Polo, J., Powell, D., Moretón, R., Prilliman, M., Ransome, S., Schneider, M., Schnierer, B., Tian, B., Warner, F., Williams, R., Wittmer, B., Zhao, C. (2023). Blind photovoltaic modeling intercomparison: A multidimensional data analysis and lessons learned. Progress in Photovoltaics: Research and Applications. doi: 10.1002/pip.3729

Daxini, R., Wilson, R., Wu, Y. (2023). Modelling the Spectral Influence on Photovoltaic Device Performance Using the Average Photon Energy and the Depth of a Water Absorption Band for Improved Forecasting. []. doi: 10.2139/ssrn.4378056

2022#

Theristis, M., Stein, J., Riedel-Lyngskær, N., Deville, L., Barrie, D., Campanelli, M., Daxini, R., Driesse, A., Hobbs, W., Hodges, H., Ledesma, J., Lokhat, I., Mccormick, B., Meng, B., Micheli, L., Miller, B., Motta, R., Noirault, E., Ovaitt, S., Parker, M., Polo, J., Powell, D., Del Pozo, M., Prilliman, M., Ransome, S., Schneider, M., Schnierer, B., Tian, B., Werner, F., Williams, R., Wittmer, B., Zhao, C. (2022). International Photovoltaic Modeling Intercomparison [Slides]. 8. World Conference on Photovoltaic Energy Conversion, Milan (Italy), 26-30 Sep 2022. doi: 10.2172/2004810

Daxini, R., Sun, Y., Wilson, R., Wu, Y. (2022). Direct spectral distribution characterisation using the Average Photon Energy for improved photovoltaic performance modelling. Renewable Energy. doi: 10.1016/j.renene.2022.11.001

Daxini, R., Wu, Y., Wilson, R. (2022). Improvement of the Average Photon Energy Spectral Correction Function for Photovoltaic Performance Forecasting. 8th World Conference on Photovoltaic Energy Conversion; 740-743. doi: 10.4229/WCPEC-82022-3BV.3.49