Risk Assessment of Solid Oxide Fuel Cells (SOFCs)-Using Bayesian Networks

被引:1
作者
Mulliyatdi, Muthieah [1 ]
Nordin, Darman [2 ]
Shamsuddin, Nurzailyn [2 ]
Rosli, Masli Irwan [2 ]
Zamzuri, Zamira Hasanah [3 ]
机构
[1] Univ Kebangsaan Malaysia, Fak Sains Teknol, Ukm Bangi 43000, Selangor Darul, Malaysia
[2] Univ Kebangsaan Malaysia, Fak Kejuruteraan Alam Bina, Ukm Bangi 43000, Selangor Darul, Malaysia
[3] Univ Kebangsaan Malaysia, Fak Sains Matemat, Ukm Bangi 43000, Selangor Darul, Malaysia
来源
SAINS MALAYSIANA | 2023年 / 52卷 / 01期
基金
英国科研创新办公室;
关键词
Degradation; fault; risk assessment; solid oxide fuel cells; REAL-TIME MODEL; FAULT-DIAGNOSIS; RELIABILITY; SAFETY; DEGRADATION; SYSTEM;
D O I
10.17576/jsm-2023-5201-20
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Renewable energy becomes the world's attention as an alternative energy resource to replace petroleum energy usage. Renewable energy that is getting attention is solid oxide fuels cell (SOFCs) because they produce minimum carbon emission with clean sustainable energy. However, SOFCs usage in electricity generation is limited due to the risks of temperature, chemical substance emission, and generation power storage method that is able to cause destruction and accidents that will bring disruption to the handling operation and the surrounding. Therefore, risk assessment plays an important role to ensure the overall operation system in safe condition through safety approach based on the direct data or previous accidents data. This study investigates the consequences scenario due to high operating temperature through Bayesian mapping method using open resource software programme, GeNie in identifying risks towards operation. The operation condition in high temperature is identified as the main cause that contributes to the risk. The degeneration of 76% to 90% can happen if the operation temperature exceeds the optimum temperature with the degradation of the main operation parameter.
引用
收藏
页码:245 / 260
页数:16
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