Yuzhang Wang

The Effect of Anode Porosity on the Performance of Planar Electrode Supported Solid Oxide Fuel Cell

Based on CFD commercial software and the developed program which involved multi-component flow and diffusion, mass/heat transfer, electrochemical reaction and current field calculation, the performance of planar-electrode-support solid oxide fuel cell with different porosity anodes was investigated. The distributions of species concentration, temperature, electric potential, current and current density were obtained. The results show that this SOFC cell has good performance on species diffusion, current transfer and power output when anode porosity varies between 0.3 and 0.4. This work may be of significance to further research on the anode material.Copyright

Application of artificial neural network in countercurrent spray saturator

This paper presents the application of artificial neural network (ANN) in saturator. Phase Doppler Anemometry (PDA) is utilized to investigate the distribution of water droplets diameter and velocity in the saturator. The data obtained from experiment is used as input-output of ANN. Before using ANN method, some prerequisites have to be processed, including the selection of the number of input and output variables, hidden layer neurons, the network architecture and the normalization of data etc. The results indicate that the trained ANN can provide accurate prediction values which agree with real experimental data closely.

Research on fault detection and identification of gas turbines sensors based on wavelet entropy

Thermal parameters are usually used in computation and assessment of performance in gas turbine power plants. It is very important to obtain accurate and real values of thermal parameters. ...

Study of flow and combustion characteristics of optimized low swirl premixed nozzle for micro gas turbine

ABSTRACT With the micro gas turbine is used more and more widely, the operating conditions become complex and fluctuating which impacts the environmental friendliness of combustor. In this work, a low swirl premixed nozzle (LSPN) is designed based on the original premixed nozzle (OPN) of a 60 kW micro gas turbine, in order to adapt the flexibility of load and operating environment by improving the mixing performance of fuel and air. The flow and combustion characteristics of LSPN and OPN fed by natural gas is numerically studied using the standard k-ε model and the combined Finite Rate Chemistry/Eddy Dissipation Model (FRC/EDM) under various operating conditions. The results show that the mixing performance of air and fuel in LSPN has been improved. The flow unmixedness in LSPN is always smaller than OPN, and it is 41.74% lower at the outlet of the nozzle. While the equivalence ratio decreases, the mean temperature in the combustor decline. Furthermore, under the majority of operating conditions, the emission performance of LSPN is better than OPN.

The Determination of Effective Diffusivity Evolution During Single Coal Char Particle Combustion Using a Macro-TG

Abstract Gas effective diffusivity of single coal char particle is a key parameter in modeling coal-fired traveling grate boilers, which are extensively used in China with a low efficiency. The effective diffusivity varies during the combustion because of the changing pore structure caused by ash layer development. A macro-TG was designed to obtain the evolving effective diffusivity by measuring the combustion rate of a single coal char particle in one-dimensional combustion. The effective diffusivity decreased with the layer thickness increase, and both coal rank and temperature were contributing factors to the variation behavior. An exponential function was found between the effective diffusivity and the layer thickness, and was used to reveal the pattern of pore structure evolution.