Publication date: 28th August 2024
The PEC conversion of CO2 into value-added chemicals is a sustainable method to efficiently produce fuels by combining photocatalysis and electrocatalysis [1]. Efficient reactor setups and photoelectrodes are needed to reduce external energy input. Our previous work showed the benefits of combining CaTiO3, WO3, and BiVO4 in multi-layered photoanodes under visible light [2,3]. Additionally, Cu2O blended with a bio-MOF as photocathodes achieved excellent PEC CO2 reduction to alcohols, particularly methanol. This study marks our group's first attempt to create a bias-free PEC electrolyzer for CO2 reduction into alcohols.
Hence, this work represents the first attempt in our group to develop an integrated, bias-free PEC electrolyzer with a photocathode/photoanode configuration for CO2 reduction into value-added products such as alcohols.
The different catalysts are coated onto the substrates [4] with different loadings and mass ratios, which are optimized to reach the best PEC performance. Precisely, the bio-MOF is synthesized from the reaction of copper(II) acetate with adenine, which prompted the formation of a 3D microporous coordination polymer depicted by the formula [Cu2(µ-acetato)2(µ3-adeninato)2]n. On the other hand, the photoanodes include CaTiO3 (1 mg cm-²) as the bottom layer, WO3 (0.75 mg cm-²) as an intermediate conductive layer, and BiVO4 (3 mg cm-²) as a light-harvesting layer. They are characterized using on-off PEC techniques, such as LSV, cyclic voltammetry, and EIS. Subsequently, both photoanodes and photocathodes are individually evaluated in a divided filter-press reactor in continuous mode under visible light irradiation (100 mW cm-2), with a platinized titanium plate as the dark anode (photocathode/dark anode) or dark cathode (dark cathode/photoanode), using 0.5 M KHCO3 as the electrolyte.
This work evaluates the integration of the photoactive surfaces in a bias-free photocathode/photoanode PEC electrolyzer, paying special attention to: i) the photovoltage generated by the photoanode and the coupling of the band positions with those of the photocathode; ii) photoreactor configuration: gas diffusion electrodes/membrane electrode assembly, and zero-gap; iii) complementary absorption of solar light to maximize the usage of solar spectrum.
PEC characterization results on developing CaTiO3/BiVO4 photoanodes showed optimal catalyst loadings of 1 mg cm-2 and 3 mg cm-2 [2]. Notably, a competitive current density of -71 mA cm-2 was achieved at -1.8 V (vs. Ag/AgCl). Subsequently, the BiVO4/WO3 ratio was independently optimized with WO3 as the bottom layer. Higher BiVO4 loadings (80:20) exhibited the most favorable results in terms of photogenerated current density [3].
The results on photocathode development under visible light revealed an optimum Cu2O/bio-MOF ratio of 9/1 for an enhanced methanol production (477 mmol m-2 s-1) and Faradaic Efficiency (90.4%), while reaction selectivity towards ethanol is favored at lower ratios. The results clearly overpass the performance of previous MOFs on CO2-to-alcohols conversion, showing potential for their application as photocathode that may bring an improved energy use, thus helping to advance towards sustainable bias-free energy solutions driven by sunlight.
This study focuses on integrating a bias-free PEC system by analyzing light sources, intensity, and solar concentration. It aims to use dual absorbers to maximize solar energy and ensure compatible band structures, a challenge in tandem systems. The photoreactor design will be optimized by adjusting photoelectrode area ratios and developing a zero-gap reactor with low electrical resistance. These efforts aim to achieve the necessary photovoltage for efficient CO2 reduction and water oxidation, enabling an unbiased electrolyzer.
This study emphasizes the potential of innovatively designed photocathodes and photoanodes to advance PEC CO2 reduction in bias-free systems using sunlight. The design of both the photocathode for CO2 reduction and the photoanode for oxygen evolution is crucial for system efficiency. Optimizing these photoactive surfaces supports greener chemical processes and reduces reliance on external energy.
The authors of this communication would like to thank the financial support of Grant TED2021-129810B-C21 and TED2021-129810B-C22 funded by MICIU/AEI/10.13039/501100011033/ and by the “European Union NextGenerationEU/PRTR”. Grant PID2022-138491OB-C31 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU, and EHU-N23/51 funded by University of the Basque Country (UPV/EHU) are also acknowledged.