Results 91 to 100 of about 1,108 (256)

Efficient Flexible Monolithic Perovskite/CIGS Tandem Solar Cell by Using Two‐Step Hybrid Deposition Approach

Advanced Energy Materials, EarlyView.
Novel low‐temperature two‐step hybrid (co‐evaporation/solution) processing suppresses Zn‐induced perovskite degradation in monolithic perovskite/CIGS tandems. Lewis‐base additive engineering restores high crystallinity under the reduced‐temperature constraint.
Muhammad Rehan, Inyoung Jeong, Awet Mana Amare, Hung Van Tran, Inchan Hwang, Junseop Byeon, SeJin Ahn, Sungjun Hong, Ahreum Lee, Ara Cho, Jun‐Sik Cho, Seung Kyu Ahn, Soomin Song, Hyun‐wook Park, Jihye Gwak, Jae Ho Yun, Kihwan Kim, Donghyeop Shin   +17 more
wiley   +1 more source

Natural Sunlight IR‐Driven Highly Efficient Synthesis of Acetaldehyde From Bioethanol Over Cu/Fe2O3

Angewandte Chemie, EarlyView.
This work reports a Cu/Fe2O3 catalyst for the conversion of bioethanol into valuable acetaldehyde and green hydrogen under both infrared (IR) light and natural sunlight. This IR‐driven system sets a new performance benchmark, with TON and initial TOF enhanced by at least one order of magnitude, enabled by a constructed IR photon‐to‐phonon channel and ...
Xiyi Li, Jiangting Zhao, Junjun Guo, Ze‐Kai Yu, Enqi Chen, Qiong Liu, Tieou Wang, Asterios Gavriilidis, Xue‐Qing Gong, Yang Lan, Junwang Tang   +10 more
wiley   +2 more sources

Beyond the Gold Standard: Towards Industrially Viable Electrodes for Durable Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Transparent and opaque electrode materials are mapped by raw material cost per 1 m2 electrode area and retained median device efficiency after heat–light ageing. FTO offers a lower‐cost and more stable alternative to ITO, while Cr/Al provides the lowest‐cost rear electrode investigated with Au‐like stability and substantially improved durability ...
Tino Lukas, Manuel Kober‐Czerny, Ali Reza Nazari Pour, James McGettrick, Georgios Loukeris, Clemens Baretzky, Shuaifeng Hu, Junke Wang, Chia‐Yu Chang, Sam Teale, Bowei Li, Trystan M. Watson, Martin Stolterfoht, Robert L. Z. Hoye, Philippe Holzhey, Lukas Wagner, Markus Kohlstädt, Henry J. Snaith   +17 more
wiley   +1 more source

Short-Term Forecasts of DNI from an Integrated Forecasting System (ECMWF) for Optimized Operational Strategies of a Central Receiver System

Energies, 2019
Short-term forecasts of direct normal irradiance (DNI) from the Integrated Forecasting System (IFS) and the global numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF) were used in the simulation of a solar
Francis M. Lopes, Ricardo Conceição, Hugo G. Silva, Thomas Fasquelle, Rui Salgado, Paulo Canhoto, Manuel Collares-Pereira   +6 more
doaj   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle

2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC)
Solar irradiance forecasts can be dynamic and unreliable due to changing weather conditions. Near the Arctic circle, this also translates into a distinct set of further challenges. This work is forecasting solar irradiance with Norwegian data using variations of Long-Short-Term Memory units (LSTMs). In order to gain more trustworthiness of results, the
Niklas Erdmann, Lars Ødegaard Bentsen, Roy Stenbro, Heine N. Riise, Narada D. Warakagoda, Paal Engelstad   +5 more
openaire   +2 more sources

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression.

PLoS ONE
The renewable energy industry requires accurate forecasts of intermittent solar irradiance (SI) to effectively manage solar power generation and supply.
Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke   +3 more
doaj   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

LSTM-Based Prediction of Solar Irradiance and Wind Speed for Renewable Energy Systems

Energies
Renewable energy systems like solar and wind power are the main source of sustainable energy production; however, their intermittent nature produces challenges for grid integration, so they require realistic forecast models.
Ahmed A. Alguhi, Abdullah M. Al-Shaalan
doaj   +1 more source