In this paper, the authors present a simple procedure of estimating weekly profiles of insolation for photovoltaic (PV) power generation output of a roof-top PV system. The model is based on the historical data of solar insolation and weather conditions. Weather conditions are classified into representative patterns such as sunny, cloudy, and rainy, and corresponding hourly profile of insolation is obtained as the most likely values under each weather condition. The system uses the text weather forecast and the probability of precipitation information as input to obtain the estimated weekly profile of insolation. From the results presented here it is shown that such a simple profile can be useful for rating the storage batteries and scheduling electric vehicle charging to better utilize the PV-generated electricity.
| Published in |
International Journal of Energy and Power Engineering (Volume 3, Issue 6-2)
This article belongs to the Special Issue Distributed Energy Generation and Smart Grid |
| DOI | 10.11648/j.ijepe.s.2014030602.11 |
| Page(s) | 1-6 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Solar Photovoltaic Power Generation, Insolation, Weather Patterns, Probability of Precipitation, Regression
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APA Style
Takahide Niimura, Noriaki Sakamoto, Kazuhiro Ozawa. (2014). Estimating Hourly Profiles of Insolation based on Weekly Weather Forecast. International Journal of Energy and Power Engineering, 3(6-2), 1-6. https://doi.org/10.11648/j.ijepe.s.2014030602.11
ACS Style
Takahide Niimura; Noriaki Sakamoto; Kazuhiro Ozawa. Estimating Hourly Profiles of Insolation based on Weekly Weather Forecast. Int. J. Energy Power Eng. 2014, 3(6-2), 1-6. doi: 10.11648/j.ijepe.s.2014030602.11
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Download@article{10.11648/j.ijepe.s.2014030602.11,
author = {Takahide Niimura and Noriaki Sakamoto and Kazuhiro Ozawa},
title = {Estimating Hourly Profiles of Insolation based on Weekly Weather Forecast},
journal = {International Journal of Energy and Power Engineering},
volume = {3},
number = {6-2},
pages = {1-6},
doi = {10.11648/j.ijepe.s.2014030602.11},
url = {https://doi.org/10.11648/j.ijepe.s.2014030602.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2014030602.11},
abstract = {In this paper, the authors present a simple procedure of estimating weekly profiles of insolation for photovoltaic (PV) power generation output of a roof-top PV system. The model is based on the historical data of solar insolation and weather conditions. Weather conditions are classified into representative patterns such as sunny, cloudy, and rainy, and corresponding hourly profile of insolation is obtained as the most likely values under each weather condition. The system uses the text weather forecast and the probability of precipitation information as input to obtain the estimated weekly profile of insolation. From the results presented here it is shown that such a simple profile can be useful for rating the storage batteries and scheduling electric vehicle charging to better utilize the PV-generated electricity.},
year = {2014}
}
TY - JOUR T1 - Estimating Hourly Profiles of Insolation based on Weekly Weather Forecast AU - Takahide Niimura AU - Noriaki Sakamoto AU - Kazuhiro Ozawa Y1 - 2014/10/27 PY - 2014 N1 - https://doi.org/10.11648/j.ijepe.s.2014030602.11 DO - 10.11648/j.ijepe.s.2014030602.11 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 1 EP - 6 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.s.2014030602.11 AB - In this paper, the authors present a simple procedure of estimating weekly profiles of insolation for photovoltaic (PV) power generation output of a roof-top PV system. The model is based on the historical data of solar insolation and weather conditions. Weather conditions are classified into representative patterns such as sunny, cloudy, and rainy, and corresponding hourly profile of insolation is obtained as the most likely values under each weather condition. The system uses the text weather forecast and the probability of precipitation information as input to obtain the estimated weekly profile of insolation. From the results presented here it is shown that such a simple profile can be useful for rating the storage batteries and scheduling electric vehicle charging to better utilize the PV-generated electricity. VL - 3 IS - 6-2 ER -
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