Results 81 to 90 of about 12,919 (265)

Upper bound limit analysis of coral reef limestone cavern roof stability incorporating a tension‐shear failure mechanism with tensile‐strength cut‐off

Deep Underground Science and Engineering, EarlyView.
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley   +1 more source

Community‐level egg and larval trait interactions with the Amazon River plume determine its role as a dispersal barrier

Ecography, EarlyView.
The Amazon River plume (ARP) functions as a dynamic and porous biogeographic barrier whose permeability to larval dispersal depends on the interplay between species' biological traits and oceanographic processes. Using biophysical modeling combined with a dual analytical framework, namely a multivariate regression tree (MRT) and a generalized additive ...
Ramon B. Santos, Nelson A. Gouveia, Douglas F. M. Gherardi   +2 more
wiley   +1 more source

Life cycle assessment of a microfluidic electrolytic cell using Bi–Sn nanoparticle catalyst and an ionic liquid electrolyte

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The electrochemical reduction of carbon dioxide (CO2) to produce formic acid is a sustainable and crucial method for combating greenhouse gas emissions and addressing global warming. This study focuses on conducting a life cycle assessment of formic acid synthesis using microfluidic electrolytic cells with Bi–Sn catalyst and [EMIM][BF4] (1 ...
Akaninyene Christopher Offong, Abdulhakim Adeoye Shittu, Sunday Amos Onikanni, James Okpor   +3 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines

Energy Science &Engineering, EarlyView.
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley   +1 more source

Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units

Energies
To improve the power generation efficiency of offshore wind turbines and address the problem of high fire monitoring and warning costs, we propose a data-driven fire warning method based on transfer learning for wind turbines in this paper.
Anping Wan, Chenyu Du, Wenbin Gong, Chao Wei, Khalil AL-Bukhaiti, Yunsong Ji, Shidong Ma, Fareng Yao, Lizheng Ao   +8 more
doaj   +1 more source

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

Research on market mechanism design for inertia ancillary services and PFC services

Zhejiang dianli
Frequency security in power systems with high-penetration renewable energy faces significant challenges， necessitating effective ancillary service market mechanisms for critical security services such as inertia ancillary services and primary frequency ...
ZHAO Jinquan, TANG Chengkui, CHEN Tao, DAI Jiang   +3 more
doaj   +1 more source

Rational design of Ni‐based catalysts for methane dry reforming: Recent advances and future perspectives

FlexMat, EarlyView.
Addressing the challenges inherent in dry reforming of methane (DRM), this paper focuses on the structural design and performance optimization of Ni‐based catalysts. The modulation strategies for DRM are systematically reviewed across four dimensions: the micromorphology of active metals, metal‐support interactions, electronic modifications by ...
Bowei Cao, Junlei Zhang, Wanglei Wang
wiley   +1 more source

Advancing Environmental Sustainability Through Wind Energy, Green Technology, and Fintech: A Quantile Perspective From Germany's Low‐Carbon Transition

Geological Journal, EarlyView.
The current study examines the role of Fintech, wind energy, and green technology in determining environmental suitability in Germany from 2000 to 2024. The study employs time series econometric methods to estimate the QQR and QR techniques. The positive effects of wind production, FinTech, Natural Resources and green technology on environmental ...
Hind Alofaysan, Kamel Si Mohammed
wiley   +1 more source