COMPUTATIONAL PROGRAMS FOR PHYSICS |
Prev
|
|
|
SolarDesign: An online photovoltaic device simulation and design platform |
Wei E. I. Sha(沙威)1,†, Xiaoyu Wang(王啸宇)2, Wenchao Chen(陈文超)3,1, Yuhao Fu(付钰豪)4, Lijun Zhang(张立军)2, Liang Tian(田亮)3,1, Minshen Lin(林敏慎)5, Shudi Jiao(焦书迪)1, Ting Xu(徐婷)1, Tiange Sun(孙天歌)6, and Dongxue Liu(刘冬雪)6,‡ |
1 College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; 2 State Key Laboratory of Integrated Optoelectronics, Key Laboratory of Automobile Materials of MOE, Key Laboratory of Material Simulation Methods & Software of MOE, School of Materials Science and Engineering, Jilin University, Changchun 130012, China; 3 ZJU-UIUC Institute, International Campus, Zhejiang University, Haining 314400, China; 4 Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun 130012, China; 5 College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 6 Science and Technology Research Institute, China Three Gorges Corporation, Beijing 101199, China |
|
|
Abstract SolarDesign (https://solardesign.cn/) is an online photovoltaic device simulation and design platform that provides engineering modeling analysis for crystalline silicon solar cells, as well as emerging high-efficiency solar cells such as organic, perovskite, and tandem cells. The platform offers user-updatable libraries of basic photovoltaic materials and devices, device-level multi-physics simulations involving optical-electrical-thermal interactions, and circuit-level compact model simulations based on detailed balance theory. Employing internationally advanced numerical methods, the platform accurately, rapidly, and efficiently solves optical absorption, electrical transport, and compact circuit models. It achieves multi-level photovoltaic simulation technology from “materials to devices to circuits” with fully independent intellectual property rights. Compared to commercial softwares, the platform achieves high accuracy and improves speed by more than an order of magnitude. Additionally, it can simulate unique electrical transport processes in emerging solar cells, such as quantum tunneling, exciton dissociation, and ion migration.
|
Received: 11 August 2024
Revised: 25 October 2024
Accepted manuscript online: 08 November 2024
|
PACS:
|
88.40.H-
|
(Solar cells (photovoltaics))
|
|
88.40.hj
|
(Efficiency and performance of solar cells)
|
|
07.05.Tp
|
(Computer modeling and simulation)
|
|
02.60.-x
|
(Numerical approximation and analysis)
|
|
Fund: Project supported by the Scientific Research Project of China Three Gorges Corporation (Grant No. 202203092). |
Corresponding Authors:
Wei E. I. Sha, Dongxue Liu
E-mail: weisha@zju.edu.cn;liu_dongxue@ctg.com.cn
|
Cite this article:
Wei E. I. Sha(沙威), Xiaoyu Wang(王啸宇), Wenchao Chen(陈文超), Yuhao Fu(付钰豪), Lijun Zhang(张立军), Liang Tian(田亮), Minshen Lin(林敏慎), Shudi Jiao(焦书迪), Ting Xu(徐婷), Tiange Sun(孙天歌), and Dongxue Liu(刘冬雪) SolarDesign: An online photovoltaic device simulation and design platform 2025 Chin. Phys. B 34 018801
|
[1] Tian L, Sha W E I, Xie H, Liu D, Sun T G, Xia Y S, et al. 2024 J. Appl. Phys. 135 225703 [2] Wang Z S, Sha W E I and Choy W C H 2016 J. Appl. Phys. 120 213101 [3] Courtier N E, Cave J M, Walker A B, Richardson G and Foster J M 2019 J. Comput. Electron. 18 1435-1449 [4] Courtier N E, Cave J M, Foster J M, Walker A B and Richardson G 2019 Energy Environmental Sci. 12 396-409 [5] https://www.comsol.com/ [6] https://silvaco.com/ [7] https://www.ansys.com/products/optics/fdtd [8] https://www.pvlighthouse.com.au/ [9] https://www.pveducation.org/ [10] Hohenberg P and Kohn W 1964 Phys. Rev. 136 B864 [11] Kresse G and Furthmüller J 1996 Phys. Rev. B 54 11169 [12] Kresse G and Furthmüller J 1996 Comput. Mater. Sci. 6 15 [13] Blöchl P E 1994 Phys. Rev. B 50 17953 [14] Perdew J P, Burke K and Ernzerhof M 1996 Phys. Rev. Lett. 77 18 [15] Paier J, Marsman M, Hummer K, Kresse G, Gerber I C and Ángyán J G 2006 J. Chem. Phys. 124 154709 [16] Heyd J, Scuseria G E and Ernzerhof M 2003 J. Chem. Phys. 118 8207 [17] Klimeš J, Bowler D R and Michaelides A 2009 J. Phys. Condens. Matter 22 022201 [18] Zhao X G, et al. 2021 Sci. Bull. 66 1973 [19] Luo S, et al. 2022 J. Phys. Chem. A 126 4300 [20] Gajdoš M, Hummer K, Kresse G, Furthmüller J and Bechstedt F 2006 Phys. Rev. B 73 045112 [21] Tanaka K, Takahashi T, Ban T, Kondo T, Uchida K and Miura N 2003 Solid State Commun. 127 619 [22] Chew W C 1984 Waves and Fields in Inhomogenous Media (New York: Wiley-IEEE Press) [23] Sha W E I, Choy W C H, Liu Y G and Chew W C 2011 Appl. Phys. Lett. 99 113304 [24] Sha W E I, Ren X, Chen L and Choy W C H 2015 Appl. Phys. Lett. 106 221104 [25] Ren X, Wang Z, Sha W E I and Choy W C H 2017 ACS Photon. 4 934-942 [26] Selberherr S 1984 Analysis and Simulation of Semiconductor Devices (New York: Springer) [27] Sha W E I, Choy W C H, Wu Y and Chew W C 2012 Opt. Express 20 2572-2580 [28] Sha W E I, Zhang H, Wang Z S, Zhu H L, Ren X, Lin F, et al. 2018 Adv. Energy Mater. 8 1701586 [29] Xu T, Wang Z S, Li X H and Sha W E I 2021 Acta Phys. Sin. 70 098801 (in Chinese) [30] Lin M, Xu X, Tian H, Yang Y, Sha W E I and Zhong W 2024 Solar RRL 8 2300722 [31] Cao Q, Li Y, Zhang H, Yang J, Han J, Xu T, et al. 2021 Sci. Adv. 7 eabg0633 |
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
|
|
|