Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method
Photovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be developed for final decision-makers. However, there is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2018-03-01
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| Series: | Technological and Economic Development of Economy |
| Subjects: | |
| Online Access: | http://journals.vgtu.lt/index.php/TEDE/article/view/99 |
| _version_ | 1818387123634438144 |
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| author | Choongwan Koo Taehoon Hong Kwangbok Jeong Jimin Kim |
| author_facet | Choongwan Koo Taehoon Hong Kwangbok Jeong Jimin Kim |
| author_sort | Choongwan Koo |
| collection | DOAJ |
| description | Photovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be developed for final decision-makers. However, there is a limitation in improving the accuracy of the MADSR map due to the lack of weather stations. This is because it is too expensive to measure the actual MADSR data using the remote sensors in all the sites where the PV system would be installed. Thus, this study aimed to develop the MADSR map with improved estimation accuracy using the advanced case-based reasoning (A-CBR), finite element method (FEM), and kriging method. This study was conducted in four steps: (i) data collection; (ii) estimation of the MADSR data in the 54 unmeasured locations using the A-CBR model; (iii) estimation of the MADSR data in the 89 unmeasured locations using the FEM model; and (iv) development of the MADSR map using the kriging method. Compared to the previous MADSR map, the proposed MADSR map was determined to be improved in terms of its estimation accuracy and classification level.
First published online: 03 May 2017 |
| first_indexed | 2024-12-14T04:04:57Z |
| format | Article |
| id | doaj.art-9014ae88c4954bf5948bf3f49060be76 |
| institution | Directory Open Access Journal |
| issn | 2029-4913 2029-4921 |
| language | English |
| last_indexed | 2024-12-14T04:04:57Z |
| publishDate | 2018-03-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Technological and Economic Development of Economy |
| spelling | doaj.art-9014ae88c4954bf5948bf3f49060be762022-12-21T23:17:51ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212018-03-0124210.3846/20294913.2016.1213198Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging methodChoongwan Koo0Taehoon Hong1Kwangbok Jeong2Jimin Kim3Department of Building Services Engineering, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hong KongDepartment of Architectural Engineering, Yonsei University, Seoul, 03722, Republic of KoreaDepartment of Architectural Engineering, Yonsei University, Seoul, 03722, Republic of KoreaDepartment of Architectural Engineering, Yonsei University, Seoul, 03722, Republic of KoreaPhotovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be developed for final decision-makers. However, there is a limitation in improving the accuracy of the MADSR map due to the lack of weather stations. This is because it is too expensive to measure the actual MADSR data using the remote sensors in all the sites where the PV system would be installed. Thus, this study aimed to develop the MADSR map with improved estimation accuracy using the advanced case-based reasoning (A-CBR), finite element method (FEM), and kriging method. This study was conducted in four steps: (i) data collection; (ii) estimation of the MADSR data in the 54 unmeasured locations using the A-CBR model; (iii) estimation of the MADSR data in the 89 unmeasured locations using the FEM model; and (iv) development of the MADSR map using the kriging method. Compared to the previous MADSR map, the proposed MADSR map was determined to be improved in terms of its estimation accuracy and classification level. First published online: 03 May 2017http://journals.vgtu.lt/index.php/TEDE/article/view/99monthly average daily solar radiationsolar radiation mapadvanced case-based reasoningfinite element methodkriging method |
| spellingShingle | Choongwan Koo Taehoon Hong Kwangbok Jeong Jimin Kim Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method Technological and Economic Development of Economy monthly average daily solar radiation solar radiation map advanced case-based reasoning finite element method kriging method |
| title | Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method |
| title_full | Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method |
| title_fullStr | Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method |
| title_full_unstemmed | Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method |
| title_short | Development of the monthly average daily solar radiation map using A-CBR, FEM, and kriging method |
| title_sort | development of the monthly average daily solar radiation map using a cbr fem and kriging method |
| topic | monthly average daily solar radiation solar radiation map advanced case-based reasoning finite element method kriging method |
| url | http://journals.vgtu.lt/index.php/TEDE/article/view/99 |
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