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Fast Partial Shading Analysis of Large-scale Photovoltaic Arrays via Tearing Method
Zhang, Mao,Zhong, Sunan,Zhang, Weiping The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.5
Partial shading analysis of large-scale photovoltaic (PV) arrays has recently become a theoretically and numerically challenging issue, and it is necessary for PV system designers. The main contributions of this study are the following: 1) A PSIM-based macro-model was employed because it is remarkably fast, has high precision, and has no convergence issues. 2) Three types of equivalent macro-models were developed for the transformation of a small PV sub-array with uniform irradiance to a new macro-model. 3) On the basis of the proposed new macro-model, a tearing method was established, which can divide a large-scale PV array into several small sub-arrays to significantly improve the efficiency improvement of a simulation. 4) Three platforms, namely, PSIM, PSpice, and MATLAB, were applied to evaluate the proposed tearing method. The proposed models and methods were validated, and the value of this research was highlighted using an actual large-scale PV array with 2420 PV modules. Numerical simulation demonstrated that the tearing method can remarkably improve the simulation efficiency by approximately thousands of times, and the method obtained a precision of nearly 6.5%. It can provide a useful tool to design the optimal configuration of a PV array with a given shading pattern as much as possible.
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Characteristics and kinetics analyses of different genus biomass pyrolysis
Can Yao,Hong Tian,Zhangmao Hu,Yanshan Yin,Donglin Chen,Xiaozhong Yan 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.2
Four kinds of biomass (Chinese silvergrass, corn stalk, rice husk and pine) in China were selected as experimental samples for this study. Pyrolysis process of these biomass was researched by thermogravimetric Fourier transform infrared spectroscopy at 10 K/min. The results show that the pyrolysis process of all samples can be divided into three stages, and the comprehensive characteristics of volatile release degree of Chinese silvergrass is the highest, followed by corn stalk and rice husk, the lowest is pine. FTIR spectra results indicate that the pyrolysis gaseous products are mainly CO2, CO, CH4 and H2O. Kinetic parameters of the biomass were analyzed and determined by Coats-Redfern method, and the results show that corn stalk is the most susceptible to pyrolysis because the activation energy of Chinese silvergrass, corn stalk, rice husk and pine are 46.7, 29.3, 54.3 and 58.1 kJ/mol respectively.
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