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14 results on '"Zhou, Jielian"'

9. Prediction of CO 2 Emissions Based on Multiple Linear Regression Analysis

Author

Yin Libao, Liao Yanfen, Zhou Jielian, Liu Guicai, Ma Xiaoqian, and Yao Tingting

Subjects
Smoke, Flue gas, Engineering, Waste management, business.industry, Thermal power station, 02 engineering and technology, 010501 environmental sciences, 021001 nanoscience & nanotechnology, 01 natural sciences, Power (physics), Reduction (complexity), Greenhouse gas, Multiple linear regression analysis, Coal, 0210 nano-technology, Process engineering, business, 0105 earth and related environmental sciences
Abstract

In order to realize low-carbon development, and strive to complete the carbon emissions reduction targets of “13th Five-Year”, this paper takes the national first batch of low-carbon pilot provinces-Guangdong Province as an example, to explore the precise algorithm of carbon emissions from coal-fired power plants. In this algorithm, the calculation formula of fuel characteristic coefficient β is fitted out by the proximate analysis data of fuel, and the content of CO 2 in flue gas is calculated by using the fuel characteristic coefficient. Then the carbon emissions is calculated according to the total amount of smoke. Finally, the algorithm is verified by taking a thermal power plant in Guangzhou as an example, and compared with the IPCC algorithm and the method of coal consumption rate of power supply respectively, which verifies the accuracy of this algorithm.

Published
2017

11. Parallel optimization based on artificial bee colony algorithm

Author

Junhao Zhou, Feng Yongxin, Yin Libao, Zhou Jielian, Zhong Jun, and Li Debo

Subjects
0209 industrial biotechnology, Mathematical optimization, Computer science, Message passing, Message Passing Interface, Particle swarm optimization, 02 engineering and technology, Travelling salesman problem, Artificial bee colony algorithm, 020901 industrial engineering & automation, Local optimum, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Algorithm design, Algorithm
Abstract

This paper aims to tackle the shortcomings of the standard artificial bee colony algorithm (ABC) such as slow convergence, long solving time and being easy to fall into local optima. We study the state transformation formula and propose a parallelized ABC algorithm with Message Passing Interface (MPI). We use the traveling salesman problem (TSP) as the case study. Our experiments show that the parallel ABC algorithm has an advantage in speed over the standard algorithm w.r.t. iterations and convergence speed.

Published
2017

14. A Calculation Method for CO2 Emission in Utility Boilers Based on BP Neural Network and Carbon Balance.

Author

Yin, Libao, Liu, Guicai, Zhou, Jielian, Liao, Yanfen, and Ma, Xiaoqian

Abstract

For the accurate calculation of CO 2 emission in utility boilers, the calculation model of CO 2 emission suitable for most coal-fired boilers is built. In this model, BP neural networks were adopted to predict the carbon content of burning coal. This model took the proximate analysis data and fuel consumption flow / coal consumption as inputs, and output the CO 2 emission. Under the BP network prediction model, the average difference of carbon content of burning coal was about 1.80%, while that of CO 2 emission were 3.92% and 0.96%. Compared with emission factor method and capacity standard method, the method in this paper is more suitable to count the CO 2 emission of utility boilers. [ABSTRACT FROM AUTHOR]

Published
2016
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