Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/118574
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Type: Journal article
Title: Energy harvesting from neutralization reactions with saline feedback
Author: Lima, G.
Dubal, D.
Rueda-García, D.
Gómez-Romero, P.
Huguenin, F.
Citation: Electrochimica Acta, 2018; 275:145-154
Publisher: Elsevier
Issue Date: 2018
ISSN: 0013-4686
1873-3859
Statement of
Responsibility: 
Gilberto Lima, Deepak P. Dubal, Daniel Rueda-García, Pedro Gómez-Romero, Fritz Huguenin
Abstract: This work proposes an acid-base machine consisting of insertion electrodes for protons and alkaline metal ions placed in electrolytic solutions with different pH values and alkaline ion concentrations to harvest energy from a neutralization reaction. We simulate energy harvesting during acidic wastewater treatment with base (KOH) by using phosphomolybdic acid and nickel hexacyanoferrate as the negative and the positive electrodes, respectively, in aqueous H₂SO4 and K₂SO4 solutions. In this configuration, the machine harvests energy from a change in the free energy related to changes in the proton and in the potassium ion concentrations after neutralization reactions, with feedback from the saline solution resulting from neutralization. The electrochemical impedance spectroscopy diagrams provide insight into the practical proton and potassium ion electroinsertion reversibility in acidic and neutral media. Based on the charge/discharge curves at pH = 2 and pH = 5.8, the acid-base machine harvests ca. 10 kJ per mol of electro-inserted protons in the first cycles. These results demonstrate that the methodology is viable for sustainable growth—it can harvest energy from wastewater treatment, a practice that can be especially profitable for the industrial sector, which produces great amounts of wastewater.
Keywords: Neutralization batteries; acid-base machine; neutralization pseudocapacitors; mixing entropy battery; energy harvesting; CAPMIX
Rights: © 2018 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.electacta.2018.04.075
Grant ID: MAT2015-68394-R
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