火电厂配煤优化模型及其应用研究-计算机技术专业论文.docxVIP

火电厂配煤优化模型及其应用研究-计算机技术专业论文.docx

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Coal Coal Blending Optimization Model of Thermal Power Plant and its Application Study Discipline:Computer Technology Student Signature: Mj加肌∥扩 Supervisor Signature: With the trend of rapid scientific and economic growth in China,proper of the coal in thermal power generation is critical.Up to now,most thermal power plants in China have adopted the coal blending technology.By mix-burning multiple types of coal,appropriate compositions be obmined,which will not only make full of the inferior coal to improve economic efficiency of thermal power plants,but also reduce atmospheric pollution to protect the environment.This thesis simulated the coal blending optimization model the Matlab20 1 0b platform and conducted application design in the planning management of coal blending for thermal power plants,using the linear coal—blending model combined with the analytic hierarchy process(AHP)and the principle components analysis(PCA)methods.The primary focus of this research is listed below. 1)Information about the properties of individual type of coal required in thermal power plant was collected,based the statistical results of which candidate types of coal to be mix.bumed were selected. There exist various types of coal with significantly different properties such volatile maRer,ash content,nitrogen oxides,and sulfur contents,which subject to variations of storage time and regions.Based the in—depth understanding of these types of coal,this study chose four types of lignite(Linfen coal,Yangquan coal,Yuci coal,and Ordos coal)for blending. 2)Objective functions and constraint conditions were determined and coal blending optimization model was established. In this study,coal costs,sulphur emission,high—quality coal usage,and water content were selected as the objective functions.According to the practical conditions in thermal power plants,four important industrial indicators including heat value,volatile matter content,ash content,and sulphur content were employed as the co

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