TY - GEN
T1 - Feature Impacts on Coal Power Plant Reliability
AU - Mnukwa, Ezile
AU - Eboule, Patrick S.Pouabe
AU - Pretorius, Jan Harm C.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Various strategic management planning in South Africa have revolved around reliability of coal fired power generating plants. This is due to challenging factors of power plant reliability like aging infrastructure, low maintenance, unplanned outages, forced outages and increasing electricity demand in South Africa. The method used in this study to collect data is qualitative and quantitative research methods. Qualitative research method is used to collect information by conducting Delphi technique survey from technical personnel which are Managers, Engineers, Technologists, Technician as well as Artisans. Quantitative research method is utilized to collect information from power utility's historical plant breakdowns and failure records. Historical records are retrieved from database, plant failure reports and SAP plant maintenance program. Results indicates that forced draught plant contributed 33,61% unplanned capability loss factor for the month of September 2021, followed by the milling plant with 20,08% energy loss. Moreover, fabric filter plant contributed 16,25% to unplanned capability loss factor and mills control contributed 7,74% to energy losses. The results also indicated that poor maintenance, spares unavailability, lack of training and skills shortages are some of the major contributing factors to plant breakdowns and failures.
AB - Various strategic management planning in South Africa have revolved around reliability of coal fired power generating plants. This is due to challenging factors of power plant reliability like aging infrastructure, low maintenance, unplanned outages, forced outages and increasing electricity demand in South Africa. The method used in this study to collect data is qualitative and quantitative research methods. Qualitative research method is used to collect information by conducting Delphi technique survey from technical personnel which are Managers, Engineers, Technologists, Technician as well as Artisans. Quantitative research method is utilized to collect information from power utility's historical plant breakdowns and failure records. Historical records are retrieved from database, plant failure reports and SAP plant maintenance program. Results indicates that forced draught plant contributed 33,61% unplanned capability loss factor for the month of September 2021, followed by the milling plant with 20,08% energy loss. Moreover, fabric filter plant contributed 16,25% to unplanned capability loss factor and mills control contributed 7,74% to energy losses. The results also indicated that poor maintenance, spares unavailability, lack of training and skills shortages are some of the major contributing factors to plant breakdowns and failures.
KW - Coal Fired Boiler Plant
KW - Maintenance Strategies and Asset Management
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=85162988431&partnerID=8YFLogxK
U2 - 10.1109/ICoPESA56898.2023.10140903
DO - 10.1109/ICoPESA56898.2023.10140903
M3 - Conference contribution
AN - SCOPUS:85162988431
T3 - 2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023
SP - 126
EP - 132
BT - 2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Power Energy Systems and Applications, ICoPESA 2023
Y2 - 24 February 2023 through 26 February 2023
ER -