PROSPECTS FOR OBTAINING A COMBUSTIBLE MIXTURE OF GASES FROM VEGETABLE AGRICULTURAL WASTE USING SOLAR ENERGY

This paper discusses the possibility of obtaining a combustible gas mixture (GHA) from a number of agricultural waste, such as stalks of cotton, grapes and tobacco, walnut and hazelnut shells, etc., by pyrolysis and gasification, using solar energy, in in particular, a solar high-temperature installation (SVTU), in which a parabolic concentrator (PC) is used to convert the sun's radiant energy into thermal energy. Provides data on solar energy resources, as well as plant waste available in various regions of Azerbaijan.

DETONATION INITIATION IN COMBUSTIBLE GAS MIXTURE UPON INTERACTION OF A SHOCK WAVE WITH AN INERT GAS BUBBLE

On the basis of the Euler equations for a perfect gas with an inhomo-geneous distribution of molar mass, the interaction of a shock wave in a combustible gas with an elliptic bubble of an inert gas of elevated density is simulated in planar two-dimensional (2D) formulation. Various values of the Mach number M of the incident wave and the ratio of bubble axles are considered. A finite-volume Godunov-type method of the second order of approximation with HLLC (Harten-Lax-van Leer Contact) Riemann solver is used for numerical simulation. The combustion reaction of the gas mixture is modeled using the two-stage Korobeynikov-Levin kinetics.

Experimental and Simulation Studies of Corn Kernel Gasification in a Double Air Stage Downdraft Reactor

Biomass gasification is the devolatilization and incomplete combustion of biomass resulting in the production of a combustible gas mixture including carbon monoxide (CO), hydrogen (H2) methane (CH4), and traces of other hydrocarbons (CnHm), and referred to as producer gas. Producer gas can be cleaned and then used in various engines or can be converted to various biofuels. This paper presents an experimental and simulation-based evaluation of producer gas quality resulting from corn kernel gasification in a two-stage downdraft gasifier. Test conditions were selected, based on the results of previous studies, to yield high conversion efficiency and low tar production. Experimental tests were performed with an air flow of 25 Nm3/h and with 80% of the air supplied to the first gasification stage. Simulations based on a chemical and thermal equilibrium model were carried out to examine the effect of equivalence ratio (ER) changes. Both the experimental and modelling results show that using a two-stage air supply leads to a significant reduction in the tar content of the producer gas, while maintaining a high gasification efficiency.

Combustible Gas Discrimination by Pattern Recognition Analysis of Responses from Semiconductor Gas Sensor Array

The qualitative and quantitative identification of combustible gas mixture cannot be realized by a single sensor. Therefore, a semiconductor gas sensor array was built up. The experimental parameters including the dynamic and static information of the sensors were selected. The qualitative and quantitative identification of combustible gas mixture are achieved by the artificial neural network. The results show that this method for the qualitative identification of the combustible gas mixture is completely correct. The highest false rate of the quantitative analysis is 0.38% and the average false rate of the quantitative analysis is 0.079%. Achieve a good qualitative and quantitative identification.