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Sains Malaysiana 52(1)(2023):
http://doi.org/10.17576/jsm-2023-5201-20
Penaksiran Risiko Sel Bahan Api Oksida Pepejal (SOFC) (Risk Assessment of Solid Oxide Fuel Cells (SOFCs)-Using
Bayesian Networks)
MUTHIEAH MULLIYATDI1, DARMAN NORDIN2,*,
NURZAILYN SHAMSUDDIN2, MASLI IRWAN ROSLI2, ZAMIRA HASANAH
ZAMZURI3
1Fakulti
Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43000 UKM Bangi, Selangor
Darul Ehsan, Malaysia
2Fakulti
Kejuruteraan dan Alam Bina, Universiti Kebangsaan Malaysia, 43000 UKM Bangi,
Selangor Darul Ehsan, Malaysia
3Fakulti
Sains Matematik, Universiti Kebangsaan Malaysia, 43000 UKM Bangi, Selangor
Darul Ehsan, Malaysia
Recieved: 10 June 2022/Accepted:
26 September 2022
Abstrak
Tenaga boleh baharu menjadi
tumpuan dunia sebagai sumber tenaga alternatif bagi penggantian penggunaan
tenaga petroleum. Tenaga boleh baharu yang mendapat perhatian adalah penggunaan
sel bahan api oksida pepejal (SOFC) kerana tenaga ini mempunyai pelepasan
karbon yang minimum di samping kelestarian tenaga yang bersih. Walau
bagaimanapun, penggunaan SOFC dalam penjanaan tenaga elektrik adalah terhad
kerana terdapat risiko dari segi suhu, pelepasan bahan kimia, serta kaedah
penyimpanan tenaga penjanaan yang mampu memberi kesan kemusnahan serta
kemalangan yang membawa kepada gangguan
terhadap pengendalian operasi dan keadaan sekeliling. Oleh itu, penaksiran
risiko memainkan peranan penting dalam memastikan pengoperasian keseluruhan
sistem berada dalam keadaan selamat melalui pendekatan keselamatan berdasarkan
kepada data yang didapati secara langsung atau data kemalangan terdahulu.
Penyelidikan ini mengkaji senario yang membawa kepada kemusnahan melalui kaedah
pemetaan Bayesan menggunakan program perisian sumber terbuka, GeNie dalam
mengenal pasti risiko terhadap operasi. Keadaan operasi pada suhu tinggi
dikenal pasti sebagai punca utama yang menyumbang kepada risiko. Kemerosotan
sebanyak 76% sehingga 90% boleh berlaku sekiranya suhu operasi melebihi suhu
optimum bersama kemerosotan parameter utama operasi.
Kata kunci: Degradasi; kerosakan; penaksiran risiko; sel
bahan api oksida pepejal
Abstract
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.
Keywords:
Degradation; fault; risk assessment; solid oxide fuel cells
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*Corresponding author; email: darman@ukm.edu.my
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