Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.]
This aim of this paper is to evaluate the accuracy of long-term weather data models for performance prediction of grid-connected photovoltaic (GCPV) systems. The analyses were done for a 6-year old metal deck roof retrofitted GCPV system located in Shah Alam, Malaysia. The monthly and annual energy...
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| Format: | Article |
| Language: | English |
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UiTM Press and Research Management Centre Universiti Teknologi MARA
2020
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| Online Access: | https://ir.uitm.edu.my/id/eprint/30093/ |
| _version_ | 1848807409334616064 |
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| author | Zakaria, Nor Zaini Zainuddin, Hedzlin Shaari, Sulaiman Omar, Ahmad Maliki Sulaiman, Shahril Irwan |
| author_facet | Zakaria, Nor Zaini Zainuddin, Hedzlin Shaari, Sulaiman Omar, Ahmad Maliki Sulaiman, Shahril Irwan |
| author_sort | Zakaria, Nor Zaini |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | This aim of this paper is to evaluate the accuracy of long-term weather data models for performance prediction of grid-connected photovoltaic (GCPV) systems. The analyses were done for a 6-year old metal deck roof retrofitted GCPV system located in Shah Alam, Malaysia. The monthly and annual energy yield of the actual field data for three consecutive years were compared with the predicted yield using the long-term weather data models. These models were the Typical Meteorological Year (TMY), Model Year Climate (MYC), Microclimate data, and Long-Term statistical Mean for ground station data at Subang. The findings can be a reference for photovoltaic (PV) system designers on the range of accuracy when using the weather data models for performance predictions of GCPV system in Malaysia. |
| first_indexed | 2025-11-14T22:42:22Z |
| format | Article |
| id | uitm-30093 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:42:22Z |
| publishDate | 2020 |
| publisher | UiTM Press and Research Management Centre Universiti Teknologi MARA |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-300932020-04-22T16:18:01Z https://ir.uitm.edu.my/id/eprint/30093/ Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] srj Zakaria, Nor Zaini Zainuddin, Hedzlin Shaari, Sulaiman Omar, Ahmad Maliki Sulaiman, Shahril Irwan Photovoltaic power systems This aim of this paper is to evaluate the accuracy of long-term weather data models for performance prediction of grid-connected photovoltaic (GCPV) systems. The analyses were done for a 6-year old metal deck roof retrofitted GCPV system located in Shah Alam, Malaysia. The monthly and annual energy yield of the actual field data for three consecutive years were compared with the predicted yield using the long-term weather data models. These models were the Typical Meteorological Year (TMY), Model Year Climate (MYC), Microclimate data, and Long-Term statistical Mean for ground station data at Subang. The findings can be a reference for photovoltaic (PV) system designers on the range of accuracy when using the weather data models for performance predictions of GCPV system in Malaysia. UiTM Press and Research Management Centre Universiti Teknologi MARA 2020 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/30093/1/30093.pdf Zakaria, Nor Zaini and Zainuddin, Hedzlin and Shaari, Sulaiman and Omar, Ahmad Maliki and Sulaiman, Shahril Irwan (2020) Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.]. (2020) Scientific Research Journal <https://ir.uitm.edu.my/view/publication/Scientific_Research_Journal.html>, 17 (1). pp. 43-57. ISSN 2289-649X https://srj.uitm.edu.my/ https://doi.org/10.24191/srj.v17i1.6321 https://doi.org/10.24191/srj.v17i1.6321 |
| spellingShingle | Photovoltaic power systems Zakaria, Nor Zaini Zainuddin, Hedzlin Shaari, Sulaiman Omar, Ahmad Maliki Sulaiman, Shahril Irwan Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] |
| title | Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] |
| title_full | Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] |
| title_fullStr | Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] |
| title_full_unstemmed | Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] |
| title_short | Grid-connected photovoltaic system performance prediction using long-term weather data / Nor Zaini Zakaria … [et al.] |
| title_sort | grid-connected photovoltaic system performance prediction using long-term weather data / nor zaini zakaria … [et al.] |
| topic | Photovoltaic power systems |
| url | https://ir.uitm.edu.my/id/eprint/30093/ https://ir.uitm.edu.my/id/eprint/30093/ https://ir.uitm.edu.my/id/eprint/30093/ |