|
|
|
Highly flexible and excellent performance continuous carbon nanotube fibrous thermoelectric modules for diversified applications |
| Xiao-Gang Xia(夏晓刚)1,2, Qiang Zhang(张强)3, Wen-Bin Zhou(周文斌)4, Zhuo-Jian Xiao(肖卓建)1,2, Wei Xi(席薇)1,2, Yan-Chun Wang(王艳春)1,6, and Wei-Ya Zhou(周维亚)1,2,5,6,† |
1 Beijing National Center for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Department of Applied Physics, Aalto University School of Science, P. O. Box 15100, FI-00076 Aalto, Finland;
4 Key Laboratory of Enhanced Heat Transfer and Energy Conservation, Ministry of Education, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China;
5 Songshan Lake Materials Laboratory, Dongguan 523808, China;
6 Beijing Key Laboratory for Advanced Functional Materials and Structure Research, Beijing 100190, China |
|
|
|
|
Abstract A highly flexible and continuous fibrous thermoelectric (TE) module with high-performance has been fabricated based on an ultra-long single-walled carbon nanotube fiber, which effectively avoids the drawbacks of traditional inorganic TE based modules. The maximum output power density of a 1-cm long fibrous TE module with 8 p-n pairs can reach to 3436 μW·cm-2, the power per unit weight to 2034 μW·g-1, at a steady-state temperature difference of 50 K. The continuous fibrous TE module is used to detect temperature change of a single point, which exhibits a good responsiveness and excellent stability. Because of its adjustability in length, the flexible fibrous TE module can satisfy the transformation of the temperature difference between two distant heat sources into electrical energy. Based on the signal of the as-fabricated TE module, a multi-region recognizer has been designed and demonstrated. The highly flexible and continuous fibrous TE module with excellent performance shows a great potential in diversified applications of TE generation, temperature detection, and position identification.
|
Received: 13 April 2021
Revised: 13 April 2021
Accepted manuscript online: 08 May 2021
|
|
PACS:
|
88.30.rh
|
(Carbon nanotubes)
|
| |
73.50.Lw
|
(Thermoelectric effects)
|
| |
85.80.Fi
|
(Thermoelectric devices)
|
|
| Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2018YFA0208402), the National Natural Science Foundation of China (Grant Nos. 11634014, 51172271, and 51372269), and the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA09040202). |
Corresponding Authors:
Wei-Ya Zhou
E-mail: wyzhou@iphy.ac.cn
|
Cite this article:
Xiao-Gang Xia(夏晓刚), Qiang Zhang(张强), Wen-Bin Zhou(周文斌), Zhuo-Jian Xiao(肖卓建), Wei Xi(席薇), Yan-Chun Wang(王艳春), and Wei-Ya Zhou(周维亚) Highly flexible and excellent performance continuous carbon nanotube fibrous thermoelectric modules for diversified applications 2021 Chin. Phys. B 30 078801
|
[1] Bell L E 2008 Science 321 1457
[2] He J and Tritt T M 2017 Science 357 1369
[3] Snyder G J and Toberer E S 2008 Nat. Mater. 7 105
[4] Russ B, Glaudell A, Urban J J, Chabinyc M L and Segalman R A 2016 Nat. Rev. Mater. 1 16050
[5] Siddique A R M, Mahmud S and Heyst B V 2017 Renewable and Sustainable Energy Reviews 73 730
[6] Du Y, Xu J Y, Paul B and Eklund P 2018 Appl. Mater. Today 12 366
[7] Macleod B A, Stanton N J, Gould I E, Wesenberg D, Ihly R, Owczarczyk Z R, Hurst K E, Fewox C S, Folmar C N, Hughes K H, Zink B L, Blackburn J L and Ferguson A J 2017 Energy Environ. Sci. 10 2168
[8] Yusupov K, Stumpf S, You S J, Bogach A, Martinez P M, Zakhidov A, Schubert U S, Khovaylo V and Vomiero A 2018 Adv. Funct. Mater. 28 1801246
[9] Zhao W Y, Fan S F, Xiao N, Liu D Y, Tay Y Y, Yu C, Sim D H, Hng H H, Zhang Q C, Boey F, Ma J, Zhao X B, Zhang H and Yan Q Y 2012 Energy Environ. Sci. 5 5364
[10] Zhou W B, Fan Q X, Zhang Q, Li K W, Cai L, Gu X G, Yang F, Zhang N, Xiao Z J, Chen H L, Xiao S Q, Wang Y C, Liu H P, Zhou W Y and Xie S Y 2016 Small 12 3407
[11] Li T, Pickel A D, Yao Y G, Chen Y A, Zeng Y Q, Lacey S D, Li Y J, Wang Y L, Dai J Q, Wang Y B, Yang B, Fuhrer M S, Marconnet A, Dames C, Drew D H and Hu L B 2018 Nat. Energy 3 148
[12] Ma W G, Liu Y J, Yan S, Miao T T, Shi S Y, Xu Z, Zhang X and Gao C 2017 Nano Res. 11 741
[13] Cho C, Culebras M, Wallace K L, Song Y X, Holder K, Hsu J H, Yu C and Grunlan J C 2016 Nano Energy 28 426
[14] Kim S L, Choi K, Tazebay A and Yu C 2014 ACS Nano 8 2377
[15] Yu C H, Murali A, Choi K W and Ryu Y 2012 Energy Environ. Sci. 5 9481
[16] Dey A, Bajpai O P, Sikder A K, Chattopadhyay S and Khan M a S 2016 Renew. Sust. Energ. Rev. 53 653
[17] Ding T P, Chan K H, Zhou Y, Wang X Q, Cheng Y, Li T T and Ho G W 2020 Nat. Commun. 11 6006
[18] Zhou W B, Fan Q X, Zhang Q, Cai L, Li K W, Gu X G, Yang F, Zhang N, Wang Y C, Liu H P, Zhou W Y and Xie S S 2017 Nat. Commun. 8 14886
[19] Cho C, Wallace K L, Tzeng P, Hsu J H, Yu C and Grunlan J C 2016 Adv. Energy Mater. 6 1502168
[20] An C J, Kang Y H, Song H, Jeong Y and Cho S Y 2017 J. Mater. Chem. A 5 15631
[21] Choi J, Jung Y, Yang S J, Oh J Y, Oh J, Jo K, Son J G, Moon S E, Park C R and Kim H 2017 ACS Nano 11 7608
[22] Park K T, Lee T, Ko Y, Cho Y S, Park C R and Kim H 2021 ACS Appl. Mater. Interf. 13 6257
[23] Kim J Y, Mo J H, Kang Y H, Cho S Y and Jang K S 2018 Nanoscale 10 19766
[24] Ryan J D, Lund A, Hofmann A I, Kroon R, Sarabia-Riquelme R, Weisenberger M C and Muller C 2018 ACS Appl. Energy Mater. 1 2934
[25] Zhang C Y, Zhang Q, Zhang D, Wang M Y, Bo Y W, Fan X Q, Li F C, Liang J J, Huang Y, Ma R J and Chen Y S 2021 Nano Lett. 21 1047
[26] Avery A D, Zhou B H, Lee J, Lee E S, Miller E M, Ihly R, Wesenberg D, Mistry K S, Guillot S L, Zink B L, Kim Y H, Blackburn J L and Ferguson A J 2016 Nat. Energy 1 16033
[27] Blackburn J L, Ferguson A J, Cho C and Grunlan J C 2018 Adv. Mater. 30 1704386
[28] Collins P G, Bradley K, Ishigami M and Zettl A 2000 Science 287 1801
[29] Bradley K, Jhi S-H, Collins P G, Hone J, Cohen M L, Louie S G and Zettl A 2000 Phys. Rev. Lett. 85 4361
[30] Zhang Q, Li K W, Fan Q X, Xia X G, Zhang N, Xiao Z J, Zhou W B, Yang F, Wang Y C, Liu H P and Zhou W Y 2017 Chin. Phys. B 26 028802
[31] Zhang Q, Zhou W Y, Xia X G, Li K W, Zhang N, Wang Y C, Xiao Z J, Fan Q X, Kauppinen E I and Xie S S 2020 Adv. Mater. 32 2004277 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
