Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Emerging Science Journal Jurnal Ilmu Kepolisian International Journal of Social Service and Research
Ismail, Marzuki
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Emerging Science Journal

 1 
Investigating the Effectiveness of Coal-Fired Power Plant Operations: Management, Technical and Air Pollution Aspects Ramly, Zamzam T. A.; Ishak, Mohd Y.; Abdullah, Ahmad M.; Ismail, Marzuki; Abdullah, Samsuri; Abu Mansor, Amalina
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-06

Abstract

Coal-fired energy has been a major part of Malaysia's power supply, causing environmental pollution and slowing sustainable growth. To address these issues, we evaluated a coal-fired power plant's efficiency using a questionnaire completed by industry experts. This study seeks to find factors affecting coal-fired power generation efficiency and create a statistical model. The questionnaire covered five areas: best management practices, technology efficiency, cost efficiency, fuel efficiency, air pollution control, and the best available technique. Principal Component Analysis (PCA) was used to simplify large data sets. The results showed that 15 principal components were valid, with a KMO value of 0.836 (greater than 0.50) and a Bartlett Test value below 0.05. The results show a strong correlation between the best available technique and various indicators: best management practice (r=0.614, p<0.01), technology efficiency (r=0.719, p<0.01), cost efficiency (r=0.529, p<0.05), fuel efficiency (r=0.662, p<0.01), and air pollution control efficiency (r=-0.752, p<0.01). The model indicates that verifying the standard operating procedure (SOP) is crucial for improving power generation efficiency and reducing human error (R²=0.914). This study pinpoints issues reducing power plant efficiency, particularly regarding emissions, and shows that the regression model is strong (R² = 0.916–0.647). It will assist policymakers and researchers in creating sustainable environmental management plans. Doi: 10.28991/ESJ-2025-09-01-06 Full Text: PDF
Co-Authors Abdullah, Ahmad M. Abdullah, Samsuri Abu Mansor, Amalina Ishak, Mohd Y. Jumaeng, Suardi Mulya, Ade Ramly, Zamzam T. A.