In current conventional utility systems, fossil fuel or nuclear power plants must back up intermittent renewable electricity generators if the utility grid is to have acceptable reliability. For low levels of intermittent power, this can be achieved without difficulty or added expense. For high levels this reliance on other generators becomes explicit and increasingly expensive, and transmissio...

This paper presents the modeling and control for a novel Compressed Air Energy Storage (CAES) system for wind turbines. The system captures excess power prior to electricity generation so that electrical components can be downsized for demand instead of supply. Energy is stored in a high pressure dual chamber liquid-compressed air storage vessel. It takes advantage of the power density of hydra...

James Mason1*,y, Vasilis Fthenakis, Ken Zweibel, Tom Hansen and Thomas Nikolakakis Renewable Energy Research Institute, 52 Columbia Street, Farmingdale, NY 17735, USA Center for Life Cycle Analysis, Columbia University, and Director of PV EH&S Research Center, Brookhaven National Laboratory, Upton, NY 11973, USA Institute for the Analysis of Solar Energy, George Washington University, 2121 I St...

Spherical tokamaks (STs) typically have lower magnetic fields than conventional tokamaks, but similar mass densities. Suprathermal ions with relatively modest energies, in particular beaminjected ions, consequently have speeds close to or exceeding the Alfvén velocity, and can therefore excite a range of Alfvénic instabilities which could be driven by (and affect the behaviour of) fusion α-part...

The path to the mitigation of global climate change and carbon dioxide emissions avoidance leads large-scale substitution fossil fuels for generation electricity with renewable energy sources. transition renewables necessitates development storage systems that will satisfy hourly demand consumers. This paper offers an overview are available assist energy. classified as mechanical (PHS, CAES, fl...

The exponential growth of the size seismic data recorded in surveys and real time monitoring makes compression strongly demanded. Furthermore, will lead to an efficient use bandwidth assigned for communication link between stations main center. In this paper, two convolutional autoencoders (CAEs) are proposed compression. algorithms mainly based on neural network (CNN), which has capability com...