Surface post-treatment using ammonium halides effectively reduces large open-circuit voltage (V ) losses in bromine-rich wide-bandgap (WBG) perovskite solar cells (PSCs). However, the underlying mechanism still remains unclear and the device efficiency lags largely behind. Here, a facile strategy of precisely tailoring the phase purity of 2D perovskites on top of 3D WBG perovskite and realizing high device efficiency is reported. The transient absorption spectra, cross-sectional confocal photoluminescence mapping, and cross-sectional Kelvin probe force microscopy are combined to demonstrate optimal defect passivation effect and surface electric-field of pure n = 1 2D perovskites formed atop 3D WBG perovskites via low-temperature annealing. As a result, the inverted champion device with 1.77-eV perovskite absorber achieves a high V of 1.284 V and a power conversion efficiency (PCE) of 17.72%, delivering the smallest V deficit of 0.486 V among WBG PSCs with a bandgap higher than 1.75 eV. This enables one to achieve a four-terminal all-perovskite tandem solar cell with a PCE exceeding 25% by combining with a 1.25-eV low-bandgap PSC.
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http://dx.doi.org/10.1002/advs.202203210 | DOI Listing |
Heliyon
January 2025
African Centre of Excellence in Future Energies and Electrochemical Systems (ACE-FUELS), Federal University of Technology, Owerri, PMB 1526, Imo State, Nigeria.
The management of wastewater and agricultural wastes has been limited by the separate treatment processes, which exacerbate pollution and contribute to climate change through greenhouse gas emissions. Given the energy demands and financial burdens of traditional treatment facilities, there is a pressing need for technologies that can concurrently treat solid waste and generate energy. This study aimed to evaluate the feasibility of producing bioelectricity and biohydrogen through the microbial treatment of blackwater and agricultural waste using a dual-chamber Microbial Fuel Cell (MFC).
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Global Zero Emission Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan.
Recently, ionic thermoelectric supercapacitors have gained attention because of their high open circuit voltages, even for ions that are redox inactive. As a source of open circuit voltage (electromotive force), an asymmetry in electric double layers developed by the adsorption of ions at the electrode surfaces kept at different temperatures has previously been proposed. As another source, the Eastman entropy of transfer, which is related to the Soret coefficient, has been considered.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical and Computer Engineering, Aarhus University, Aarhus, 8200, Denmark.
Significant progress has been made through the optimization of modelling and device architecture solar cells has proven to be a valuable and highly effective approach for gaining a deeper understanding of the underlying physical processes in solar cells. Consequently, this research has conducted a two-dimensional (2D) perovskite solar cells (PSCs) simulation to develop an accurate model. The approach utilized in this study is based on the finite element method (FEM).
View Article and Find Full Text PDFSci Rep
January 2025
Laboratory for Thin Film Energy Materials, Department of Materials and Environmental Technology, School of Engineering, Tallinn University of Technology, Ehitajate tee 5, Tallinn, 19086, Estonia.
NiO, a wide band gap hole-transporting material (HTM), is gaining attention in photovoltaics due to its optical transparency, chemical stability, and favourable band alignment with absorber. This study uses NiO nanoparticle-based HTM in semi-transparent SbS solar cells via a simple chemical precipitation method. We optimised NiO layer by varying precursor solution concentration and studied its impact on optical and structural properties, composition of nanoparticles and subsequent effect on the performance of semi-transparent SbS solar cell.
View Article and Find Full Text PDFISA Trans
December 2024
Group of Power Systems, Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre, 1, 08930, Sant Adrià del Besòs, Spain. Electronic address:
This paper presents the design and implementation of a deep-learning-based observer for accurately estimating the State of Charge (SoC) of a vanadium flow battery. The novelty of the proposal lies in its direct use of terminal voltage and the application of a machine learning algorithm to model the battery's overpotentials, leading to greater accuracy and reduced complexity compared to classical models. The overpotentials model consists of a neural network trained using data generated by a classical observer that estimates species concentration using a physical electrochemical model and the open-circuit voltage measurement.
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