https://scholars.lib.ntu.edu.tw/handle/123456789/598487
Title: | An optimized approach for mapping solar irradiance in a mid-low latitude region based on a site-adaptation technique using Himawari-8 satellite imageries | Authors: | Han J.-Y Vohnicky P. JEN-YU HAN |
Keywords: | Heliosat model;Rest2;Satellite images;Solar energy mapping;Solar irradiance;Budget control;Large dataset;Site selection;Solar energy;Solar radiation;Space research;Adaptation process;Cloud albedo;Heliosat;Mid-low latitude;Modeling results;Solar irradiances;Mapping;accuracy assessment;albedo;detection method;ground-based measurement;latitude;mapping method;optimization;regression analysis;satellite data;satellite imagery;solar radiation;Japan | Issue Date: | 2022 | Journal Volume: | 187 | Start page/Pages: | 603-617 | Source: | Renewable Energy | Abstract: | Solar technologies play an important role in the renewable electric energy budget, so accurate solar maps are a crucial point for finding a suitable place for solar panel installation. This study proposes a method for solar irradiance mapping in mid-low latitude regions, and the method's site-adaptation process is performed by optimizing the Heliosat method through the REST2 clear-sky model, cloud albedo selection, new clear-sky index, and linear subtraction for bias removal. A local station with two pyranometers provided ground measurements. Site-adapted model results were used to create a calibrated solar map by linear regression adaptation. This study also provides the evaluation and site-adaption of another irradiance dataset in the Asian region from the Japan Aerospace Exploration Agency (JAXA). Heliosat model results with optimal cloud albedo showed high accuracy of 4.78 W/m2 MBE and 63.11 W/m2 RMSE, which can be improved using the site-adaptation process to 0.71 W/m2 MBE and 57.42 W/m2 RMSE. The selection of an optimal cloud albedo improved the model by approximately 20%. The JAXA dataset obtained a large overestimation of 56.72 W/m2 MBE, thereby highlighting the importance of site adaptation. This research's findings pave a new way for the creation of accurate site-adapted solar maps and databases. ? 2022 Elsevier Ltd |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124005551&doi=10.1016%2fj.renene.2022.01.027&partnerID=40&md5=e120a4665668d12ab6ee51aaab04c99f https://scholars.lib.ntu.edu.tw/handle/123456789/598487 |
ISSN: | 09601481 | DOI: | 10.1016/j.renene.2022.01.027 |
Appears in Collections: | 土木工程學系 |
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