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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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A Study of the Efficiency of Futures Research Institutes of China
WU, Guo-Hua,YAO, Tian-Yin,ZHANG, Bao-Ping Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.12
The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.
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Accurate Voltage Parameter Estimation for Grid Synchronization in Single-Phase Power Systems
Dai, Zhiyong,Lin, Hui,Tian, Yanjun,Yao, Wenli,Yin, Hang The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.3
This paper presents an adaptive observer-based approach to estimate voltage parameters, including frequency, amplitude, and phase angle, for single-phase power systems. In contrast to most existing estimation methods of grid voltage parameters, in this study, grid voltage is treated as a dynamic system related to an unknown grid frequency. Based on adaptive observer theory, a full-order adaptive observer is proposed to estimate voltage parameters. A Lyapunov function-based argument is employed to ensure that the proposed estimation method of voltage parameters has zero steady-state error, even when frequency varies or phase angle jumps significantly. Meanwhile, a reduced-order adaptive observer is designed as the simplified version of the proposed full-order observer. Compared with the frequency-adaptive virtual flux estimation, the proposed adaptive observers exhibit better dynamic response to track the actual grid voltage frequency, amplitude, and phase angle. Simulations and experiments have been conducted to validate the effectiveness of the proposed observers.
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Accurate Voltage Parameter Estimation for Grid Synchronization in Single-Phase Power Systems
Zhiyong Dai,Hui Lin,Yanjun Tian,Wenli Yao,Hang Yin 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.3
This paper presents an adaptive observer-based approach to estimate voltage parameters, including frequency, amplitude, and phase angle, for single-phase power systems. In contrast to most existing estimation methods of grid voltage parameters, in this study, grid voltage is treated as a dynamic system related to an unknown grid frequency. Based on adaptive observer theory, a full-order adaptive observer is proposed to estimate voltage parameters. A Lyapunov function-based argument is employed to ensure that the proposed estimation method of voltage parameters has zero steady-state error, even when frequency varies or phase angle jumps significantly. Meanwhile, a reduced-order adaptive observer is designed as the simplified version of the proposed full-order observer. Compared with the frequency-adaptive virtual flux estimation, the proposed adaptive observers exhibit better dynamic response to track the actual grid voltage frequency, amplitude, and phase angle. Simulations and experiments have been conducted to validate the effectiveness of the proposed observers.
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