Colocalized Raman spectroscopy – scanning electrochemical microscopy investigation of redox flow battery dialkoxybenzene redoxmer degradation pathways
Abstract
Non-aqueous redox flow batteries offer high voltages for grid-level energy storage technologies. However, decomposition of the redoxmers - redox-active molecules that make up the anolyte and catholyte in the negative and positive cell compartments - is an important challenge to overcome for long-term storage. Here, we present a spectroelectrochemical study of the catholyte candidate 2,3-dimethyl-1,4-dialkoxybenzene (C7) and its decomposition mechanisms in the presence of a model nucleophilic base, pyridine. We utilize colocalized Raman microscopy and scanning electrochemical microscopy (Raman-SECM) to quantify the chemical rates of decom-position and qualitatively identify the reaction intermediates and products. A detailed study on how the Raman-SECM parameters (electrode distance, substrate electrode, and laser focal height) influence the Raman signal of the charged catholyte C7∙+ is presented. Using optimized conditions, we monitored the deprotonation of C7∙+ via Raman spectroscopy and the subsequent hydrogen abstraction from solvent molecules to regenerate C7 via electrochemistry. Finite element modeling was used to fit electrochemical and spectroscopic data, quantifying the deprotonation rates as kdep = 2000 and 700 L mol-1 s-1 and abstraction rates as kabs = 0.5 and 0.2 s- 1 in propylene carbonate and acetonitrile solvents, respectively. Our results show the value of spatiotemporal reso-lution in evaluating themore »
- Authors:
-
- Argonne National Laboratory (ANL), Argonne, IL (United States). Joint Center for Energy Storage Research (JCESR); University of Illinois at Urbana-Champaign, IL (United States)
- University of Illinois at Urbana-Champaign, IL (United States)
- Argonne National Laboratory (ANL), Argonne, IL (United States). Joint Center for Energy Storage Research (JCESR); Argonne National Lab. (ANL), Argonne, IL (United States). Chemical Sciences and Engineering Division
- Argonne National Laboratory (ANL), Argonne, IL (United States). Joint Center for Energy Storage Research (JCESR); Argonne National Laboratory (ANL), Argonne, IL (United States). Materials Science Division
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1970501
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Electrochimica Acta
- Additional Journal Information:
- Journal Volume: 447; Journal ID: ISSN 0013-4686
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; SECM; Raman; Redox flow battery; posolyte; catholyte; degradation; EC mechanism
Citation Formats
Danis, Andrew S., Counihan, Michael J., Hatfield, Kendrich O., Zhang, Jingjing, Agarwal, Garvit, Zhang, Lu, Assary, Rajeev S., and Rodríguez-López, Joaquín. Colocalized Raman spectroscopy – scanning electrochemical microscopy investigation of redox flow battery dialkoxybenzene redoxmer degradation pathways. United States: N. p., 2023.
Web. doi:10.1016/j.electacta.2023.142123.
Danis, Andrew S., Counihan, Michael J., Hatfield, Kendrich O., Zhang, Jingjing, Agarwal, Garvit, Zhang, Lu, Assary, Rajeev S., & Rodríguez-López, Joaquín. Colocalized Raman spectroscopy – scanning electrochemical microscopy investigation of redox flow battery dialkoxybenzene redoxmer degradation pathways. United States. https://doi.org/10.1016/j.electacta.2023.142123
Danis, Andrew S., Counihan, Michael J., Hatfield, Kendrich O., Zhang, Jingjing, Agarwal, Garvit, Zhang, Lu, Assary, Rajeev S., and Rodríguez-López, Joaquín. Mon .
"Colocalized Raman spectroscopy – scanning electrochemical microscopy investigation of redox flow battery dialkoxybenzene redoxmer degradation pathways". United States. https://doi.org/10.1016/j.electacta.2023.142123. https://www.osti.gov/servlets/purl/1970501.
@article{osti_1970501,
title = {Colocalized Raman spectroscopy – scanning electrochemical microscopy investigation of redox flow battery dialkoxybenzene redoxmer degradation pathways},
author = {Danis, Andrew S. and Counihan, Michael J. and Hatfield, Kendrich O. and Zhang, Jingjing and Agarwal, Garvit and Zhang, Lu and Assary, Rajeev S. and Rodríguez-López, Joaquín},
abstractNote = {Non-aqueous redox flow batteries offer high voltages for grid-level energy storage technologies. However, decomposition of the redoxmers - redox-active molecules that make up the anolyte and catholyte in the negative and positive cell compartments - is an important challenge to overcome for long-term storage. Here, we present a spectroelectrochemical study of the catholyte candidate 2,3-dimethyl-1,4-dialkoxybenzene (C7) and its decomposition mechanisms in the presence of a model nucleophilic base, pyridine. We utilize colocalized Raman microscopy and scanning electrochemical microscopy (Raman-SECM) to quantify the chemical rates of decom-position and qualitatively identify the reaction intermediates and products. A detailed study on how the Raman-SECM parameters (electrode distance, substrate electrode, and laser focal height) influence the Raman signal of the charged catholyte C7∙+ is presented. Using optimized conditions, we monitored the deprotonation of C7∙+ via Raman spectroscopy and the subsequent hydrogen abstraction from solvent molecules to regenerate C7 via electrochemistry. Finite element modeling was used to fit electrochemical and spectroscopic data, quantifying the deprotonation rates as kdep = 2000 and 700 L mol-1 s-1 and abstraction rates as kabs = 0.5 and 0.2 s- 1 in propylene carbonate and acetonitrile solvents, respectively. Our results show the value of spatiotemporal reso-lution in evaluating the chemical and electrochemical behavior of materials for redox flow batteries.},
doi = {10.1016/j.electacta.2023.142123},
journal = {Electrochimica Acta},
number = ,
volume = 447,
place = {United States},
year = {Mon Feb 27 00:00:00 EST 2023},
month = {Mon Feb 27 00:00:00 EST 2023}
}
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