Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate
In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IAES
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/29380/ http://umpir.ump.edu.my/id/eprint/29380/7/Solar%20irradiance%20uncertainty%20management%20based%20on%20Monte.pdf |
| _version_ | 1848823265483554816 |
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| author | N., Md. Saad Muhamad Zahim, Sujod Mohd Ikhwan, Muhammad Ridzuan M. F., Abas M. S., Jadin Mohd. Shafie, Bakar Abu Zaharin, Ahmad |
| author_facet | N., Md. Saad Muhamad Zahim, Sujod Mohd Ikhwan, Muhammad Ridzuan M. F., Abas M. S., Jadin Mohd. Shafie, Bakar Abu Zaharin, Ahmad |
| author_sort | N., Md. Saad |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns. Based on one-minute time interval meteorological data taken in Pekan, Pahang, West Malaysia, the Monte Carlo-Beta probability density function (Beta PDF) is performed to model continuous random variable of solar irradiance. The uncertainty studies are needed to optimally plan the photovoltaic system for the development of solar PV technologies in generating electricity and enhance the utilization of renewable energy; especially in tropical climate region. |
| first_indexed | 2025-11-15T02:54:23Z |
| format | Article |
| id | ump-29380 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:54:23Z |
| publishDate | 2019 |
| publisher | IAES |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-293802020-10-05T04:10:57Z http://umpir.ump.edu.my/id/eprint/29380/ Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate N., Md. Saad Muhamad Zahim, Sujod Mohd Ikhwan, Muhammad Ridzuan M. F., Abas M. S., Jadin Mohd. Shafie, Bakar Abu Zaharin, Ahmad TK Electrical engineering. Electronics Nuclear engineering In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns. Based on one-minute time interval meteorological data taken in Pekan, Pahang, West Malaysia, the Monte Carlo-Beta probability density function (Beta PDF) is performed to model continuous random variable of solar irradiance. The uncertainty studies are needed to optimally plan the photovoltaic system for the development of solar PV technologies in generating electricity and enhance the utilization of renewable energy; especially in tropical climate region. IAES 2019-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29380/7/Solar%20irradiance%20uncertainty%20management%20based%20on%20Monte.pdf N., Md. Saad and Muhamad Zahim, Sujod and Mohd Ikhwan, Muhammad Ridzuan and M. F., Abas and M. S., Jadin and Mohd. Shafie, Bakar and Abu Zaharin, Ahmad (2019) Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate. Bulletin of Electrical Engineering and Informatics, 8 (4). pp. 1135-1143. ISSN 2302-9285. (Published) http://dx.doi.org/10.11591/eei.v8i3.1581 http://dx.doi.org/10.11591/eei.v8i3.1581 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering N., Md. Saad Muhamad Zahim, Sujod Mohd Ikhwan, Muhammad Ridzuan M. F., Abas M. S., Jadin Mohd. Shafie, Bakar Abu Zaharin, Ahmad Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate |
| title | Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate |
| title_full | Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate |
| title_fullStr | Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate |
| title_full_unstemmed | Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate |
| title_short | Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: Case in Malaysian tropical climate |
| title_sort | solar irradiance uncertainty management based on monte carlo-beta probability density function: case in malaysian tropical climate |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/29380/ http://umpir.ump.edu.my/id/eprint/29380/ http://umpir.ump.edu.my/id/eprint/29380/ http://umpir.ump.edu.my/id/eprint/29380/7/Solar%20irradiance%20uncertainty%20management%20based%20on%20Monte.pdf |