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Generation of submesoscale frontal eddies in the Agulhas Current ArchiMer
Tedesco, Pauline; Gula, Jonathan; Ménesguen, Claire; Penven, Pierrick; Krug, M..
This study addresses the dynamics of the Agulhas inshore front in the submesoscale range upstream of 26°E. Submesoscale frontal eddies are observed in the vicinity of Port Elizabeth (26°E) from satellite images and in observations collected from under‐water gliders. Using a submesoscale‐resolving numerical model (dx ~ 0.75 km) we are able to simulate similar submesoscale eddies. Barotropic instability is confirmed as the generation mechanism by a 1D linear stability analysis and an eddy kinetic energy budget. Kinetic energy is transferred from the mean flow to the eddies through the mean horizontal shear, which is a signature of barotropic instability. When the Agulhas Current is in a non‐meandering state, submesoscale eddy generation is a recurrent...
Tipo: Text Palavras-chave: Submesoscale; Numerical Modelling; Barotropic Instability; Agulhas Current; Frontal Eddies.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00514/62520/66827.pdf
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The Market Value of Variable Renewables AgEcon
Hirth, Lion.
The income that wind and solar power receive on the market is affected by the variability of their output. At times of high availability of the primary energy source, they supply electricity at zero marginal costs, shift the supply curve (merit-order curve) to the right and thereby reduce the equilibrium price of electricity during that hour. The size of this merit-order effect depends on the amount of installed renewable capacity, the slope of the merit-order curve, and the intertemporal flexibility of the electricity system. Thus the price of wind power falls with higher penetration rates, even if the average electricity price remains constant. This work quantifies the effect of variability on the market value of renewables using a calibrated model of...
Tipo: Working Paper Palavras-chave: Wind Power; Solar Power; Electricity Market; Power Generation Economics; Renewables; Value Factor; Numerical Modelling; Resource /Energy Economics and Policy; Q42; O13; D24; D61.
Ano: 2012 URL: http://purl.umn.edu/122021
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