Showing 1 - 8 of 8
CFB (circulating fluidized bed) boiler bottom ash contains large amounts of physical heat. A BAC (bottom ash cooler) is often used to treat high temperature bottom ash to reclaim heat, and to have the ash easily transported. The unit thermal economic indicators of three CFB power plants in China...
Persistent link: https://www.econbiz.de/10011054534
A paraffin/expanded graphite phase-change composite for thermal storage was prepared and its thermal properties were studied using differential scanning thermal calorimetry. The paraffin was uniformly absorbed in the porous network of the expanded graphite. Results showed that the phase-change...
Persistent link: https://www.econbiz.de/10010806548
Pt loaded MgO, Al2O3, CeO2, TiO2 and SiO2 catalysts were prepared by loading pre-synthesized Pt colloids on support and used for the aqueous-phase reforming (APR) of glycerol to investigate the influence of support properties on catalytic performance. The conversion of glycerol, rate of hydrogen...
Persistent link: https://www.econbiz.de/10010576222
Due to the distinct seasonal characteristics of hydropower, this study tries to propose a seasonal decomposition (SD) based least squares support vector regression (LSSVR) ensemble learning model for Chinese hydropower consumption forecasting. In the formulation of ensemble learning model, the...
Persistent link: https://www.econbiz.de/10010807936
In this paper, we consider a stochastic SIS epidemic model with vaccination. We prove that the densities of the distributions of the solution can converge in L1 to an invariant density under appropriate conditions. Also we find the support of the invariant density.
Persistent link: https://www.econbiz.de/10010874422
Accurate prediction of the remaining useful life (<i>RUL</i>) of lithium-ion batteries is important for battery management systems. Traditional empirical data-driven approaches for <i>RUL</i> prediction usually require multidimensional physical characteristics including the current, voltage, usage duration,...
Persistent link: https://www.econbiz.de/10011031261
In this paper, a novel hybrid ensemble learning paradigm integrating ensemble empirical mode decomposition (EEMD) and least squares support vector regression (LSSVR) is proposed for nuclear energy consumption forecasting, based on the principle of “decomposition and ensemble”. This hybrid...
Persistent link: https://www.econbiz.de/10011041250
Magnetic properties of a biaxial spin-1 system in an applied transverse field are investigated by using the effective-field theory with correlations on the basis of the differential technique. We have studied the effects of the transverse field on the phase diagrams, internal energy, and...
Persistent link: https://www.econbiz.de/10010589045