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Record W4244958685 · doi:10.1149/ma2016-01/5/478

Solar Rechargeable Redox Battery Based on Polysulfide Electrochemistry

2016· article· en· W4244958685 on OpenAlexaff
Mohammad Ali Mahmoudzadeh, Ashwin R Usgaocar, Joseph De Giorgio, Gordon G. Wallace, John D. W. Madden

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFlow batteryEnergy storageBattery (electricity)Solar cellRenewable energyMaterials scienceSupercapacitorSolar energyRedoxElectrochemical energy conversionPhotovoltaic systemNanotechnologyElectrodeElectrical engineeringOptoelectronicsElectrochemistryChemistryPower (physics)EngineeringPhysics

Abstract

fetched live from OpenAlex

Finding low cost methods of storing renewable power is a key obstacle facing wider use of solar and wind technologies. Creation of combined solar cells and batteries or supercapacitors has recently received attention, but thus far energy densities have been low. In this work the highest volumetric and areal energy density for an integrated solar energy harvesting and storage device are demonstrated in a scalable solar rechargeable redox flow battery. The integrated solar power rechargeable battery shows higher energy storage yields compared to having solar cells coupled to separate batteries due to fewer energy conversion steps. The device promises to enable cost and space efficiencies and reduce the complexity of solar energy harvesting systems. The solar-battery is designed and demonstrated based on two known technologies: the redox flow battery; and the dye-sensitized solar cell. The redox flow design enables independent scaling of power and energy rating of the system and thus makes the device potentially applicable for large scale energy storage purposes, unlike non-flow energy storage solutions [1]. Being an electrochemical cell and having structures similar to batteries with photoconversion efficiencies more than 13%, dye sensitized solar cells are good candidates to be integrated in a solar battery. A porous dye-sensitized TiO 2 electrode is inserted into one half cell of a redox flow battery structure, resulting in a three electrode device as is depicted in Figure 1. The cell is charged by connecting the sensitized electrode to the battery's charge extraction electrode in the other half cell, causing the oxidation of ions on the sensitized electrode and reduction in the second half cell. A charge balancing ion neutralizes the charge across the two half cells by transporting through the membrane. The stored energy can later be extracted by connecting a load between the two non-sensitized electrodes. Iodide/triiodide and tetrasulfide/disulfide are chosen as the two charge storage redox couples in the battery. During discharge, disulfide is oxidized to tetrasulfide in one half cell and triiodide is reduced to iodide in the illuminated half cell. The selected redox couples have standard reduction potentials close to the common N719 dye HOMO level and the TiO 2 conduction band respectively and therefore can efficiently transfer electrons with the electrodes. They are highly soluble in the electrolytes, with this high concentration enabling high energy density. Both redox species are negatively charged which enables the utilization of a cationic exchange membrane and minimal self discharge. Nickel foam electrodes are treated with polysulfide to form a highly catalytic high surface area electrode for polysulfide. Photoconversion and photocharge-discharge characteristics of the solar battery show an areal energy density of 180 µWh/cm 2 , a volumetric energy density of 1.42 Wh/L, a charge capacity of 3.2 Ah/L, a round trip energy storage efficiency of 78% and almost perfect Coulombic efficiency. These values represent a 100 times increase in charge capacity and a 30 times improvement in areal energy density compared to the previous work on solar redox batteries [2], and unlike previous work shows nearly constant voltage during discharge, as expected for a battery. In a broader comparison to all integrated solar energy harvesting and storage devices, this work shows the highest areal energy density and charge capacity. Given an expected improvement in solar power conversion efficiency from the current 2 %, this approach has the prospect of offering a low cost method of both capturing and storing solar energy. References: [1] T. N. Murakami et al. Chem. Commun., 2005, 3346-3348 [2] N. F. Yan et al. J. Electrochem. Soc. , 2014, A736–A741 Figure 1

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.243
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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