[논문]Influence of Thermal Conductivity on the Thermal Behavior of Intermediate-Temperature Solid Oxide Fuel Cells

Aman, Nurul Ashikin Mohd Nazrul; Muchtar, Andanastuti; Rosli, Masli Irwan; Baharuddin, Nurul Akidah; Somalu, Mahendra Rao; Kalib, Noor Shieela

doi:10.33961/jecst.2019.00276

Influence of Thermal Conductivity on the Thermal Behavior of Intermediate-Temperature Solid Oxide Fuel Cells 원문보기

Journal of electrochemical science and technology, v.11 no.2, 2020년, pp.132 - 139

Aman, Nurul Ashikin Mohd Nazrul (Fuel Cell Institute, Universiti Kebangsaan Malaysia) , Muchtar, Andanastuti (Fuel Cell Institute, Universiti Kebangsaan Malaysia) , Rosli, Masli Irwan (Centre for Sustainable Process Technology (CESPRO), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia) , Baharuddin, Nurul Akidah (Fuel Cell Institute, Universiti Kebangsaan Malaysia) , Somalu, Mahendra Rao (Fuel Cell Institute, Universiti Kebangsaan Malaysia) , Kalib, Noor Shieela (Fuel Cell Institute, Universiti Kebangsaan Malaysia)

Abstract ▼ AI-Helper

Solid oxide fuel cells (SOFCs) are among one of the promising technologies for efficient and clean energy. SOFCs offer several advantages over other types of fuel cells under relatively high temperatures (600℃ to 800℃). However, the thermal behavior of SOFC stacks at high operating temperatures is a serious issue in SOFC development because it can be associated with detrimental thermal stresses on the life span of the stacks. The thermal behavior of SOFC stacks can be influenced by operating or material properties. Therefore, this work aims to investigate the effects of the thermal conductivity of each component (anode, cathode, and electrolyte) on the thermal behavior of samarium-doped ceria-based SOFCs at intermediate temperatures. Computational fluid dynamics is used to simulate SOFC operation at 600℃. The temperature distributions and gradients of a single cell at 0.7 V under different thermal conductivity values are analyzed and discussed to determine their relationship. Simulations reveal that the influence of thermal conductivity is more remarkable for the anode and electrolyte than for the cathode. Increasing the thermal conductivity of the anode by 50% results in a 23% drop in the maximum thermal gradients. The results for the electrolyte are subtle, with a ~67% reduction in thermal conductivity that only results in an 8% reduction in the maximum temperature gradient. The effect of thermal conductivity on temperature gradient is important because it can be used to predict thermal stress generation.

주제어

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

가설 설정

60 K/m when the thermal conductivity increases by 25% to 15 W/m.K. The remarkable variation in temperature gradients for different thermal conductivity levels of the anode is probably due to its thick support structure relative to the thin electrolyte [27]. On the contrary, the thermal conductivity of the cathode does not exert a substantial effect on the temperature gradients probably due to the endothermic generation at the cathode.

제안 방법

Researchers can predict the temperature distributions and gradients within cells and plan for effective heat management strategies by understanding the effects of materials’ thermal conductivities. Therefore, the current study aims to determine and discuss the effects of the thermal conductivities of the anode, cathode, and electrolyte on the temperature distribution within a single samarium-doped ceria (SDC)- based SOFC stack. The SDC-based SOFC is selected in this study due to the performance of SDC at intermediate temperatures (600℃ to 800℃), which is better than that of the traditional yttria stabilized zirconia (YSZ) [12].
To determine the effects of the thermal conductivity of each component (electrolyte, anode, and cathode) on the temperature distributions of SOFCs, this study presents a CFD model of SDC-based SOFC. The simulation data are validated with experimental data from the literature to ensure the reliability of the predicted results.

대상 데이터

Grid independency is achieved at 62 400 mesh elements as increasing mesh numbers beyond this value has an insignificant effect on the current output value and temperature profile. Therefore, the model with 62 400 mesh elements is selected to be used throughout this study. The simulation is terminated when the residual for the numerical solutions decreases by at least four orders of magnitude for each computed variable [20].

이론/모형

0 is used to model and simulate the operation of the SOFC stack at 600℃. The three-dimensional model is built on the basis of the SOFC stack developed by Cui et al. (2010), as shown in Fig. 1. The SOFC model consists of four main components, namely, electrolyte, anode, cathode, and a pair of interconnects at the anode and cathode sides.

성능/효과

From the temperature gradients for each component, the effects of thermal conductivity on temperature gradient are more visible for the anode than for the electrolyte and cathode. The simulations show that the temperature gradient for the electrolyte decreases by 8.3% from 77.42 K/m to 70.97 K/m when the thermal conductivity decreases by 67% from 1.5 W/m.K to 0.

참고문헌 (28)

M. Anwar, A. Muchtar, and M. R. Somalu, Int. J. Appl. Eng. Res., 2016, 11(19), 973-4562.
Z. Gao, L. V. Mogni, E. C. Miller, J. G. Railsback, and S. A. Barnett, Energy Environ. Sci., 2016, 9(5),1602-1644.

상세보기
L. S. Mahmud, A. Muchtar, and M. R. Somalu, Renew. Sustain. Energy Rev., 2017, 72, 105-116.

상세보기
S. A. Muhammed Ali, M. Anwar, N. F. Raduwan, A. Muchtar, and M. R. Somalu, J. Sol-Gel Sci. Technol., 2018, 86(2), 1-12.

상세보기
N. A. Baharuddin, A. Muchtar, and D. Panuh, J. Kejuruter., 2018, SI 1(2), 1-8.
M. Peksen, Prog. Energy Combust. Sci., 2015, 48, 1-20.

상세보기
N. Mahato, S. Sharma, A. K. Keshri, A. Simpson, A. Agarwal, and K. Balani, J. Mater. Met. Mater. Soc., 2013, 65(6), 749-762.

상세보기
N. S. Kalib, A. Muchtar, M. R. Somalu, A. K. A. Mohd Ihsan, and N. A. Mohd Nazrul Aman, J. Adv. Res. Fluid Mech. Therm. Sci., 2018, 50(2), 146-152.
T. Choudhary and Sanjay, Int. J. Hydrogen Energy, 2016, 41(24), 10212-10227.

상세보기
M. Xu, T. Li, M. Yang, and M. Andersson, Sci. Bull., 2016, 61(17), 1333-1344.

상세보기
E. Guk, J. S. Kim, M. Ranaweera, V. Venkatesan, and L. Jackson, Appl. Energy, 2018, 230, 551-562.

상세보기
M. Andersson, J. Yuan, and B. Sunden, Int. J. Heat Mass Transf., 2012, 55(4), 773-788.

상세보기
G. Yang, D. Yue, H. Li, and X. Lv, International Conference on Advances in Energy Engineering, ICAEE 2010, 2010,(2), 325-328.
A. Yahya, R. Rabhi, H. Dhahri, and K. Slimi, Powder Technol., 2018, 338, 402-415.

상세보기
C. Yang, J. G. Cheng, H. G. He, and J. F. Gao, Key Eng. Mater., 2010, 434-435(3), 731-734.

상세보기
S. A. Muhammed Ali, A. Muchtar, A. Bakar Sulong, N. Muhamad, and E. Herianto Majlan, Ceram. Int., 2013, 39(5), 5813-5820.

상세보기
D. Cui, Q. Liu, and F. Chen, J. Power Sources, 2010, 195(13), 4160-4167.

상세보기
D. Saebea, S. Authayanun, Y. Patcharavorachot, and A. Arpornwichanop, Chem. Eng. Trans., 2016, 52, 223-228.
P. Aguiar, C. S. Adjiman, and N. P. Brandon, J. Power Sources, 2004, 138(1-2), 138, 120-136.

상세보기
P. A. Ramakrishna, S. Yang, and C. H. Sohn, J. Power Sources, 2006, 158(1), 378-384.

상세보기
M. Navasa, J. Yuan, and B. Sunden, Appl. Energy, 2015, 137, 867-876.

상세보기
T. Suther, A. Fung, M. Koksal, and F. Zabihian, Sustainability, 2010, 2(11), 3549-3560.

상세보기
C. L. Wan, W. Pan, Z. X. Qu, and Y. X. Qin, Key Eng. Mater., 2007, 336-338, 1773-1775.

상세보기
Y.-C. Shin, S. Hashimoto, K. Yashiro, K. Amezawa, and T. Kawada, ECS Trans., 2016, 72(7), 105-110.
K. Yuan, Y. Ji, and J. N. Chung, J. Power Sources, 2009, 194(2), 908-919.

상세보기
A. Amiri et al., Int. J. Hydrogen Energy, 2016, 41(4), 2919-2930.

상세보기
J. B. Robinson et al., J. Power Sources, 2015, 288, 473-481.

상세보기
A. A. Kulikovsky, Int. J. Hydrogen Energy, 2010, 35(1), 308-312.

상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증