In this study, our objective is to evaluate the long-term variability of global wave power and its underlying mechanisms, utilizing the longest wave reanalysis available (ERA5, 1940 …
J Xu, J Li, S Pan, Y Yao, L Chen, Z Wu - Energy, 2024 - Elsevier
With the intensification of global warming, the distribution of marine renewable energy resources are changing. In this study, the wind and wave energy resources in the coastal …
We developed a simulation methodology on the basis of machine learning techniques for simulation of pharmaceutical solubility in a supercritical solvent, ie, CO 2 with the …
This study focuses on investigating the seismic performance of a reference 15 MW offshore wind turbine (OWT) supported by a large-diameter monopile, under various scour …
A Ulazia, A Saenz-Aguirre, G Ibarra-Berastegui… - Energy, 2023 - Elsevier
Long-term ocean climate effects on wave energy are often analysed from the viewpoint of the well-known increment of wave height over the decades. However, this increment …
Abstract This study unravels 58-years (1961–2018) of wind-waves in the Mediterranean Sea (MS). A wave dataset was developed using the wave model WAVEWATCH III forced with the …
Power generation is one of the main resources for emissions of pollutants and greenhouse gases. Thus, emissions can be seriously regulated if the electricity sector could be driven by …
N Raj, R Prakash - Sustainable Horizons, 2024 - Elsevier
Wave energy is regarded as one of the powerful renewable energy sources and depends on the assessment of significant wave height (H s) for feasibility. Hence, this study explores the …
The prediction of significant wave height (SWH) is crucial for managing wave energy. While many machine learning studies have focused on accurately predicting SWH values within …