Computational Insights into Materials and Interfaces for Capacitive Energy Storage
Abstract
Supercapacitors such as electric double‐layer capacitors (EDLCs) and pseudocapacitors are becoming increasingly important in the field of electrical energy storage. Theoretical study of energy storage in EDLCs focuses on solving for the electric double‐layer structure in different electrode geometries and electrolyte components, which can be achieved by molecular simulations such as classical molecular dynamics (MD), classical density functional theory (classical DFT), and Monte‐Carlo (MC) methods. In recent years, combining first‐principles and classical simulations to investigate the carbon‐based EDLCs has shed light on the importance of quantum capacitance in graphene‐like 2D systems. More recently, the development of joint density functional theory (JDFT) enables self‐consistent electronic‐structure calculation for an electrode being solvated by an electrolyte. In contrast with the large amount of theoretical and computational effort on EDLCs, theoretical understanding of pseudocapacitance is very limited. In this review, we first introduce popular modeling methods and then focus on several important aspects of EDLCs including nanoconfinement, quantum capacitance, dielectric screening, and novel 2D electrode design; we also briefly touch upon pseudocapactive mechanism in RuO 2 . We summarize and conclude with an outlook for the future of materials simulation and design for capacitive energy storage.
- Authors:
-
- Department of Chemistry, University of California, Riverside CA 92521 United States
- Department of Chemical and Environmental Engineering, University of California, Riverside California 92521 United States, State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237 P. R. China
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville Tennessee 37235 United States
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge Tennessee 37831 United States
- Department of Chemical and Environmental Engineering, University of California, Riverside California 92521 United States
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge Tennessee 37831 United States, Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge Tennessee 37831 United States
- Chemcial Sciences Division, Oak Ridge National Laboratory, Oak Ridge Tennessee 37831 United States
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Energy Frontier Research Centers (EFRC) (United States). Fluid Interface Reactions, Structures and Transport Center (FIRST)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- Contributing Org.:
- Vanderbilt Univ., Nashville, TN (United States); East China Univ. of Science and Technology, Shanghai (China)
- OSTI Identifier:
- 1352692
- Alternate Identifier(s):
- OSTI ID: 1352693; OSTI ID: 1376438
- Grant/Contract Number:
- AC02-05CH11231; AC05-00OR22725
- Resource Type:
- Published Article
- Journal Name:
- Advanced Science
- Additional Journal Information:
- Journal Name: Advanced Science; Journal ID: ISSN 2198-3844
- Publisher:
- Wiley
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; electric double layers; electrolytes; joint density functional theory; molecular simulations; porous materials; supercapacitors
Citation Formats
Zhan, Cheng, Lian, Cheng, Zhang, Yu, Thompson, Matthew W., Xie, Yu, Wu, Jianzhong, Kent, Paul R. C., Cummings, Peter T., Jiang, De-en, and Wesolowski, David J. Computational Insights into Materials and Interfaces for Capacitive Energy Storage. Germany: N. p., 2017.
Web. doi:10.1002/advs.201700059.
Zhan, Cheng, Lian, Cheng, Zhang, Yu, Thompson, Matthew W., Xie, Yu, Wu, Jianzhong, Kent, Paul R. C., Cummings, Peter T., Jiang, De-en, & Wesolowski, David J. Computational Insights into Materials and Interfaces for Capacitive Energy Storage. Germany. https://doi.org/10.1002/advs.201700059
Zhan, Cheng, Lian, Cheng, Zhang, Yu, Thompson, Matthew W., Xie, Yu, Wu, Jianzhong, Kent, Paul R. C., Cummings, Peter T., Jiang, De-en, and Wesolowski, David J. Mon .
"Computational Insights into Materials and Interfaces for Capacitive Energy Storage". Germany. https://doi.org/10.1002/advs.201700059.
@article{osti_1352692,
title = {Computational Insights into Materials and Interfaces for Capacitive Energy Storage},
author = {Zhan, Cheng and Lian, Cheng and Zhang, Yu and Thompson, Matthew W. and Xie, Yu and Wu, Jianzhong and Kent, Paul R. C. and Cummings, Peter T. and Jiang, De-en and Wesolowski, David J.},
abstractNote = {Supercapacitors such as electric double‐layer capacitors (EDLCs) and pseudocapacitors are becoming increasingly important in the field of electrical energy storage. Theoretical study of energy storage in EDLCs focuses on solving for the electric double‐layer structure in different electrode geometries and electrolyte components, which can be achieved by molecular simulations such as classical molecular dynamics (MD), classical density functional theory (classical DFT), and Monte‐Carlo (MC) methods. In recent years, combining first‐principles and classical simulations to investigate the carbon‐based EDLCs has shed light on the importance of quantum capacitance in graphene‐like 2D systems. More recently, the development of joint density functional theory (JDFT) enables self‐consistent electronic‐structure calculation for an electrode being solvated by an electrolyte. In contrast with the large amount of theoretical and computational effort on EDLCs, theoretical understanding of pseudocapacitance is very limited. In this review, we first introduce popular modeling methods and then focus on several important aspects of EDLCs including nanoconfinement, quantum capacitance, dielectric screening, and novel 2D electrode design; we also briefly touch upon pseudocapactive mechanism in RuO 2 . We summarize and conclude with an outlook for the future of materials simulation and design for capacitive energy storage.},
doi = {10.1002/advs.201700059},
journal = {Advanced Science},
number = ,
volume = ,
place = {Germany},
year = {Mon Apr 24 00:00:00 EDT 2017},
month = {Mon Apr 24 00:00:00 EDT 2017}
}
https://doi.org/10.1002/advs.201700059
Web of Science
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