Simulation and Exergy Analysis of Coal Gasification Using ASPEN PLUS

我国是以煤炭为主要能源的国家，随着中国能源安全问题日益严峻，煤化工已成为社会关注的热点并得到快速发展。近年来人们环保意识的强化要求企业大力开发煤炭清洁有效利用工艺。煤气化是煤化工清洁生产的核心工艺，寻求合适的煤气化工艺是解决我国能源问题的有效手段之一。为此，本文以煤气化工艺为对象，对其工艺流程模拟、系统能量衡算和有效能分析等问题进行了研究，构建煤气化工艺流程系统分析和设计的基本框架。 首先，针对固定床煤气化过程反应温度相对较低、反应产物复杂的特点，采用带FORTRAN气化动力学子程序的串联全混流反应器来代替Gibbs反应器，建立了基于ASPENPLUS的固定床煤气化模型，结果表明该模型的模拟...Chinese energy structure is coal dependent. With the energy crisis highlights, coal-chemical industry has become a hot topic and developed quickly. In recent years, for the strengthening of the environmental protection consciousness, it is necessary to develop the clean and effective utilization technology of coal. Coal gasification is the core technology for the clean production of coal-chemical ...学位：工学硕士院系专业：化学化工学院化学工程与生物工程系_化学工程学号：2062009115125

基于CAD和PLC协同的智能炒菜机设计

为了提高炒菜自动化程度,设计出一种新型的智能炒菜机。深入剖析对炒菜机的工艺过程,研讨了炒菜机锅具及送料装置两关键机构的构造与控制问题。运用CAD软件对智能炒菜机各关键机构进行建模与仿真,得到其炒勺的位移和加速度等运动学参数,为实验样机的优化设计提供根据。运用PLC对炒菜过程进行控制,采用模块化的编程思想先设计炒菜机各执行机构控制程序,再根据每一道菜的制作工艺编写梯形图程序。以一道家常菜\"青椒炒肉\"为应用案例,对智能炒菜机进行程序编制和运行,通过与实际炒菜效果的对比,验证了基于CAD和PLC协同的智能炒菜机设计方法的可行性。国家自然科学基金项目(51405115);;海南省自然科学基金项目(20165195

Steady-state simulation of fixed bed for coal gasification using ASPEN PLUS

用ASPEn PluS软件对固定床煤气化过程进行模拟,采用带fOrTrAn气化动力学子程序的串联全混流反应器来代替gIbbS反应器,能够更好地反映气化炉的真实反应情况,结果表明该模型与实际固定床煤气化的反应结果吻合较好。利用该模型研究了串联釜数对碳转化率及出口温度的影响,研究表明:随着釜数的增加,碳转化率和出口温度更加接近于实际数据;在保证模拟精度的前提下,较少的釜数有利于减少计算量。ASPEN PLUS is used to simulate the fixed bed for coal gasification process.The gasification reaction kinetics is expressed by FORTRAN subroutine in RCSTRs,and then the RSCTRS in series are used to substitute the Gibbs reactor.So the reaction condition of the gasifier can be described more accurate in the simulation and the results of the simulation are in agreement with the actual fixed bed of the coal gasification process.The proposed model was applied to study the effect of the number of RCSTRs on carbon conversion and outlet temperature.The results show that carbon conversion and outlet temperature are closer to the actual data with the number increase of RCSTRs.However,less number of RCSTRs helps to reduce the computation time.With consideration of the accuracy and computation time of the simulation for coal gasification,it is suitable to use 6 RCSTRs in series to describe the fixed bed according to the results of the simulation.中央高校基本科研业务费专项资金资助项目(2010121047

高雷诺数复杂边界湍流的多可信度大涡模拟方法

能源、环境等工程应用中的湍流常具有较高雷诺数,并具有复杂边界、多尺度等特点,其数值模拟极具挑战。这个报告将介绍我们针对此类湍流问题的多可信度大涡模拟方法及其应用方面的研究进展,包括(1)适用于复杂边界下颗粒湍流模拟的清晰界面和光滑界面混合的浸没边界方法,数值模拟结果显示该方法可准确模拟颗粒间的相互作用及颗粒与壁面的相互作用,并成功应用于周期山颗粒湍流模拟;(2)粗糙壁湍流的机理和大涡模拟壁模型,研究了立方体和椭球体粗糙壁湍流的统计特征,系统验证了传统粗糙壁大涡模拟壁模型的预测能力,结果显示传统模型不能准确预测不同壁法向位置的湍流尺度特征;(3)叶片或桨叶的参数化模型及其在风电场和水下航行器尾迹湍流模拟中的应用,风电场模拟显示其尾迹在55个风轮直径处(5.5千米)仍未完全恢复,水下航行器模拟结果则着重关注了螺旋桨射流尾迹对航行器的速度亏损尾迹的影响。以上问题包含多个不同尺度,从毫米量级的砂粒和表面粗糙度到千米量级的风电场。在具有多个特征尺度的湍流模拟中,准确模化未解析小尺度,是预测解析的大尺度流动结构的关键,也是大涡模拟应用于实际工程的有效途径。未来工作将着重于发展基于流动机理和大规模数据的未解析小尺度模型

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies