Air particulate matter dispersion at biomass energy plant using AERMOD Modelling
. Biomass is included as one of the conventional sources other than solar and hydro energy. There are different types of biomass such as empty fruit bunch (EFB), fronds, mesocarp fibre (MF), trunk and shell. Each type provides a different level of particulate matter and the particulate matter had al...
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/29885/ http://umpir.ump.edu.my/id/eprint/29885/1/11.%20Air%20particulate%20matter%20dispersion%20at%20biomass%20energy%20plant%20using%20AERMOD%20Modelling.pdf |
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| author | Nur Sakinah, Mokhadzir Azizan, Ramli |
| author_facet | Nur Sakinah, Mokhadzir Azizan, Ramli |
| author_sort | Nur Sakinah, Mokhadzir |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | . Biomass is included as one of the conventional sources other than solar and hydro energy. There are different types of biomass such as empty fruit bunch (EFB), fronds, mesocarp fibre (MF), trunk and shell. Each type provides a different level of particulate matter and the particulate matter had already emerged as one of the most critical pollutants. The main purpose of this paper is to identify the critical location on-site and to measure and analyse the particulate matter dispersion by using AERMOD Modelling. This paper presents a simulation study of particulate matter dispersion at biomass energy plant. The dispersion of the particulate is studied at Bioenergy plant located at Jengka, Pahang which generates electricity from the EFB waste. The shredded EFB had produced abundant of dust and particulate matter which suspends in the air and deteriorating the air quality. Thus, the dispersion of particulate matter pollutant by the biomass power plant is a rising concern. The influence of other operating variables were studied (temperature, relative humidity, wind speed, wind direction and activity). This paper also compares the concentration of PM2.5 and PM10 disperse from a location that had been marked as critical. From the result, the average concentration of particulate emitted to the air in 24-hour mean is 0.6944 mg/m3 for both size. Based on the guidelines provided by the World Health Organization (WHO), the concentration of both PM2.5 and PM10 are exceeding the level of 24 hour mean of emission and can be concluded as critical. |
| first_indexed | 2025-11-15T02:56:19Z |
| format | Conference or Workshop Item |
| id | ump-29885 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:56:19Z |
| publishDate | 2020 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-298852020-11-12T03:58:14Z http://umpir.ump.edu.my/id/eprint/29885/ Air particulate matter dispersion at biomass energy plant using AERMOD Modelling Nur Sakinah, Mokhadzir Azizan, Ramli TP Chemical technology . Biomass is included as one of the conventional sources other than solar and hydro energy. There are different types of biomass such as empty fruit bunch (EFB), fronds, mesocarp fibre (MF), trunk and shell. Each type provides a different level of particulate matter and the particulate matter had already emerged as one of the most critical pollutants. The main purpose of this paper is to identify the critical location on-site and to measure and analyse the particulate matter dispersion by using AERMOD Modelling. This paper presents a simulation study of particulate matter dispersion at biomass energy plant. The dispersion of the particulate is studied at Bioenergy plant located at Jengka, Pahang which generates electricity from the EFB waste. The shredded EFB had produced abundant of dust and particulate matter which suspends in the air and deteriorating the air quality. Thus, the dispersion of particulate matter pollutant by the biomass power plant is a rising concern. The influence of other operating variables were studied (temperature, relative humidity, wind speed, wind direction and activity). This paper also compares the concentration of PM2.5 and PM10 disperse from a location that had been marked as critical. From the result, the average concentration of particulate emitted to the air in 24-hour mean is 0.6944 mg/m3 for both size. Based on the guidelines provided by the World Health Organization (WHO), the concentration of both PM2.5 and PM10 are exceeding the level of 24 hour mean of emission and can be concluded as critical. IOP Publishing 2020 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/29885/1/11.%20Air%20particulate%20matter%20dispersion%20at%20biomass%20energy%20plant%20using%20AERMOD%20Modelling.pdf Nur Sakinah, Mokhadzir and Azizan, Ramli (2020) Air particulate matter dispersion at biomass energy plant using AERMOD Modelling. In: IOP Conference Series: Materials Science and Engineering, Energy Security and Chemical Engineering Congress , 17-19 July 2019 , Kuala Lumpur, Malaysia. pp. 1-6., 736 (032002). ISSN 1757-899X (Published) https://doi.org/10.1088/1757-899X/736/3/032002 |
| spellingShingle | TP Chemical technology Nur Sakinah, Mokhadzir Azizan, Ramli Air particulate matter dispersion at biomass energy plant using AERMOD Modelling |
| title | Air particulate matter dispersion at biomass energy plant using AERMOD Modelling |
| title_full | Air particulate matter dispersion at biomass energy plant using AERMOD Modelling |
| title_fullStr | Air particulate matter dispersion at biomass energy plant using AERMOD Modelling |
| title_full_unstemmed | Air particulate matter dispersion at biomass energy plant using AERMOD Modelling |
| title_short | Air particulate matter dispersion at biomass energy plant using AERMOD Modelling |
| title_sort | air particulate matter dispersion at biomass energy plant using aermod modelling |
| topic | TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/29885/ http://umpir.ump.edu.my/id/eprint/29885/ http://umpir.ump.edu.my/id/eprint/29885/1/11.%20Air%20particulate%20matter%20dispersion%20at%20biomass%20energy%20plant%20using%20AERMOD%20Modelling.pdf |