Bishal Madhab Mazumdar

Short-term variability in the power generated by utility-scale solar photovoltaic (PV) plants is a cause for concern for power system operators. Without quantitative insights into such variability, system operators will have difficulty in exploiting grid integrated solar power without negatively impacting power quality and grid reliability. In this paper, we describe a statistical method to empirically model the ramping behavior of utility-scale solar PV power output for short time-scales.

A report of the 24th Annual General Meeting of THE Materials Research Society of India (MRSI)

Due to stochastic nature of wind distribution, wind power output comes with unscheduled changes called ramp events. In this paper, a semi-analytical approach is considered to analyze the distribution of ramp events. A simple empirical equation is derived based on the probability of wind ramp events considering the stochastic nature of wind power distribution for the Indian state of Karnataka.

Two analytical formulations that describe the fluid interactions of slag with the porous refractory linings of gasification reactors have been derived. The first formulation considers the infiltration velocity of molten slag into the porous microstructure of the refractory material that possesses an inherent temperature gradient in the direction of infiltration. Capillary pressures are assumed to be the primary driving force for the infiltration.

Two analytical formulations that describe the fluid interactions of slag with the porous refractory linings of gasification reactors have been derived. The first formulation considers the infiltration velocity of molten slag into the porous microstructure of the refractory material that possesses an inherent temperature gradient in the direction of infiltration. Capillary pressures are assumed to be the primary driving force for the infiltration.