Results 51 to 60 of about 12,050 (260)

Toward Reliable FOWT Modeling: A New Calibration Approach for Extreme Environmental Loads

Energies
The current paper presents a comparative analysis between a high-fidelity simulation tool and computational fluid dynamics (CFD) in evaluating the behavior of a fully coupled floating offshore wind turbine (FOWT) system subjected to three distinct design
Ho-Seong Yang, Ali Alkhabbaz, Young-Ho Lee   +2 more
doaj   +1 more source

Wake Loss Analysis of Offshore Wind Farm in Operation

南方能源建设, 2019
[Introduction] In order to understand the wake loss of offshore wind farm, the simulation results are verified to explore the variation law of offshore wake loss.
LIU Sha, WANG Zhongquan, CAI Yanfeng
doaj   +1 more source

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui, Hamid Ghazi H. Sulimany   +1 more
wiley   +1 more source

Offshore Wind Energy: Simulating Local Offshore Wind Turbine

, 2018
Dominion Virginia Energy is looking at the possible creation of an offshore wind plant as a renewable source of electricity to be located off the coast of Virginia Beach. This thesis reports on a computer simulation based on local wind conditions and possible single wind turbine installation.
openaire   +2 more sources

When the Remedy Is Worse Than the Illness: Carbon Performance and Growth Opportunities Under the EU ETS

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines how the European Union Emissions Trading System allowance prices reshape the link between corporate environmental performance (CEP) and firms' growth expectations, measured by Tobin's Q. Using a panel of 1370 listed firms across 15 European countries from 2005 to 2024 and high‐dimensional fixed‐effects models, we first ...
Adrián Ferreras
wiley   +1 more source

Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations [PDF]

Wind Energy Science
The development of large wind turbines and airborne wind energy (AWE) systems requires reliable wind speed datasets at heights above the atmospheric surface layer.
E. Cheynet, E. Cheynet, J. M. Diezel, J. M. Diezel, H. Haakenstad, Ø. Breivik, Ø. Breivik, A. Peña, J. Reuder, J. Reuder, J. Reuder   +10 more
doaj   +1 more source

Sensitivity analysis and stochastic optimization of levelized cost of hydrogen production through methane pyrolysis

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hydrogen plays a crucial role across multiple industrial sectors and is increasingly recognized as a clean energy carrier with significant potential in decarbonization efforts. Methane pyrolysis (MP), particularly using molten metal catalysts, offers a promising pathway for hydrogen production with low CO2 emissions.
Adrian Paredes Bozzo, Zukui Li
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Day-ahead offshore wind speed forecasts: A comparison between WRF-CNN-GRU and statistical methods

Energy Reports
In the context of the swift advancement in offshore wind power, it is crucial to have long-term, effective, and accurate wind speed predictions. Given that the wind speed at wind turbines is influenced by numerous factors, discrepancies between the ...
Jinlin Huo, Yunsong Ji, Shidong Ma, Fareng Yao, Lizheng Ao, Weiwen Wang   +5 more
doaj   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source