Investigation on classification efficiency for coal-fired power plant classifiers using a numerical approach

• Main Authors: Ismail F.B., Al-Muhsen N.F.O., Lingam R.
• Other Authors: 58027086700
• Format: Article
• Published: Taylor's University 2023
• Institution: Universiti Tenaga Nasional

Incomplete combustion in boilers often leads to a significant presence of unburnt carbon found in the ash and pollutant emissions. A key factor to overcome this problem is to increase the quality of classification via achieving a greater particle separation quality where at least 70% of the coal par...