A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions
Due to the favorable condition of arid and cold climates for ever-increasing photovoltaic installations by supporting them to operate around their maximum power, it would be interesting to evaluate the solar potential of this climate. In this study, we proposed a simple, semi-empirical model to esti...
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2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/24/6433 |
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| author | Onon Bayasgalan Amarbayar Adiyabat Kenji Otani Jun Hashimoto Atsushi Akisawa |
| author_facet | Onon Bayasgalan Amarbayar Adiyabat Kenji Otani Jun Hashimoto Atsushi Akisawa |
| author_sort | Onon Bayasgalan |
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| description | Due to the favorable condition of arid and cold climates for ever-increasing photovoltaic installations by supporting them to operate around their maximum power, it would be interesting to evaluate the solar potential of this climate. In this study, we proposed a simple, semi-empirical model to estimate the global horizontal irradiance (GHI) from the high-resolution visible channel satellite data provided by the Japanese meteorological satellite Himawari 8/9. The site adaptation procedure uses approximately 2–3 years of data recorded at four ground stations in Mongolia’s arid and cold regions to optimize the model parameters in a lookup table. Then, the model’s performance is evaluated using the independent test data of 1–2 years. The previous version of the proposed model and shortwave radiation product retrieved from the JAXA’s P-Tree system are also used for benchmarking as baselines. As a result, we found that the performance of the proposed model under a time granularity of 10 min surpassed them with an RMSE of 85 W/m<sup>2</sup> in an arid desert to 114 W/m<sup>2</sup> in a cold climate. A significant improvement was especially noticed in the capital city of Ulaanbaatar, where the resulting RMSE was 13 W/m<sup>2</sup> and 131 W/m<sup>2</sup> lower than the baseline models. |
| format | Article |
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| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Energies |
| spelling | doaj-art-50453798cdfe48bda05f08a834bbb16e2024-12-27T14:23:49ZengMDPI AGEnergies1996-10732024-12-011724643310.3390/en17246433A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate ConditionsOnon Bayasgalan0Amarbayar Adiyabat1Kenji Otani2Jun Hashimoto3Atsushi Akisawa4Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Nakacho 2-24-16, Koganei 184-8588, Tokyo, JapanSchool of Engineering Technology, National University of Mongolia, Ikh surguuliin gudamj-1, Sukhbaatar District, Ulaanbaatar 14201, MongoliaRenewable Energy Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Machiikedai 2-2-9, Koriyama 963-0298, Fukushima, JapanRenewable Energy Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Machiikedai 2-2-9, Koriyama 963-0298, Fukushima, JapanGraduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Nakacho 2-24-16, Koganei 184-8588, Tokyo, JapanDue to the favorable condition of arid and cold climates for ever-increasing photovoltaic installations by supporting them to operate around their maximum power, it would be interesting to evaluate the solar potential of this climate. In this study, we proposed a simple, semi-empirical model to estimate the global horizontal irradiance (GHI) from the high-resolution visible channel satellite data provided by the Japanese meteorological satellite Himawari 8/9. The site adaptation procedure uses approximately 2–3 years of data recorded at four ground stations in Mongolia’s arid and cold regions to optimize the model parameters in a lookup table. Then, the model’s performance is evaluated using the independent test data of 1–2 years. The previous version of the proposed model and shortwave radiation product retrieved from the JAXA’s P-Tree system are also used for benchmarking as baselines. As a result, we found that the performance of the proposed model under a time granularity of 10 min surpassed them with an RMSE of 85 W/m<sup>2</sup> in an arid desert to 114 W/m<sup>2</sup> in a cold climate. A significant improvement was especially noticed in the capital city of Ulaanbaatar, where the resulting RMSE was 13 W/m<sup>2</sup> and 131 W/m<sup>2</sup> lower than the baseline models.https://www.mdpi.com/1996-1073/17/24/6433Himawari 8/9visible channelglobal horizontal irradianceground measurementsemi-empirical modelground albedo |
| spellingShingle | Onon Bayasgalan Amarbayar Adiyabat Kenji Otani Jun Hashimoto Atsushi Akisawa A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions Energies Himawari 8/9 visible channel global horizontal irradiance ground measurement semi-empirical model ground albedo |
| title | A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions |
| title_full | A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions |
| title_fullStr | A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions |
| title_full_unstemmed | A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions |
| title_short | A High-Resolution Satellite-Based Solar Resource Assessment Method Enhanced with Site Adaptation in Arid and Cold Climate Conditions |
| title_sort | high resolution satellite based solar resource assessment method enhanced with site adaptation in arid and cold climate conditions |
| topic | Himawari 8/9 visible channel global horizontal irradiance ground measurement semi-empirical model ground albedo |
| url | https://www.mdpi.com/1996-1073/17/24/6433 |
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