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Statement of Research Interest and Experience
In recent years, coal gasification is the most important direction of new coal chemical
and clean power industry. During my undergraduate studies, some factors, which are
my education background, the vast coal reserves in China and the concern of the CO2
emission throughout the entire world, make me have a strong interest in clean coal
energy. That was why I chose to study coal gasification in energy process lab of Ajou
University. In China, with the increase in the electricity consumption and the CO2
emission, developing an efficient energy technology and reducing the greenhouse gas
emission have become the hot topic and the common wishes for our generation and the
future. Therefore, I hope I can use my small power to do something for our living
environment and next generation. As we know, coal gasification has become the trend
in clean coal energy, and it has a higher energy efficiency and lower greenhouse
emission, so it is the key technology in the coal gasificationpoly-generationtechnology,
IGCC and clean power generation. I hope I can grasp a good skill and make my
contribution for this field.
Since I came to Korea, I began to study in energy field under the guidance of Professor
Hyung-Taek Kim. During these two years, I am committed to the topics of coal drying,
gasification and simulation of coal to SNG.
For my master degree, in the first semester, I learned about the background of clean
coaltechnology and entered into the project of coal drying to assist some seniors’ work.
After I researched some papers and finished some experiments, I got a further
understanding which provided my own opinion in the coal drying mechanism. I think
the coal also have the phenomena of plasmolysis as the plant cell, because coal is
derived from some plant and is formatted under the ground for hundreds years, it also
has the characteristics of a plant. When the concentration difference takes place, the
moisture content will be changed. That is why when we change the temperature of
drying gas, the moisture content of drying gas, the drying pressure and so on; drying
process is easier to happen, only if we can find some driving force to make the
difference between the inner and the outer part of the coal.
In the second semester, I followed one PhD candidate to study the fouling phenomena
of Indonesian lignite using drop tube furnace (DTF), this is related to the IGCC project
in my lab. This experience gave me the knowledge on how to make the coal
gasification happen, and the effect of coal ash composition on the fouling
characteristics. In the experiment, we observed the accumulation characteristics of ash
that is produced in entrained-bed reactor in different material surface and reaction
conditions.
From the third semester to now, I am engaged in developing the simulation model of
low rank coal to SNG plant by Aspen plus. The purpose of this work is to develop a
model for the utilization of SNG plant from low rank coal using Aspen plus simulator.
In this simulation model, I simulated five processes based on the previous work and
my limited acquired experience: coal preparation process, gasification process, gas
cleaning process, water gas shift reaction (WGS) process and methanation process.
After this, they were combined to develop a low rank coal to SNG simulation plant. In
order to take into consideration of the energy saving, CO2 emission and SNG purity,
some concepts were introduced for the upgrading of the simulation plant. Even though
the time for studying is short, I have tried my best to make everything go well.
In the future years, I still want to further improve my ability and skill in the field of
clean coal energy.
The following is the outline of my Master’s thesis:
The Performance Evaluation of Low Rank Coal - to - SNG Process with Upgraded
Drying Concepts by Aspen Plus Simulation
Abstract
Natural gas is the fuel of choice worldwide and represents an important pillar of
energy supply in the form of electricity and for covering heat demand. However
consumption and price of natural gas are rising steadily throughout the entire world,
bringing about the need to develop and seek technologies like SNG. Coal-to-SNG
technology is promising for countries with significant proven reserves of coal but
scarce natural gas. Modern coal gasification and methanation technologies constitute
an excellent opportunity to address energy and environmental challenges for
producing SNG in an economically attractive way. The idea of using low rank coal to
produce SNG is mostly due to the abundant of low rank coal reserves. It has low
mining strip ratio and good quality in terms of sulfur and ash content.
The purpose of this work is to develop a model for the utilization of SNG plant from
low rank coal using Aspen plus simulator. This model, which is involved in the Shell
coal gasification process (SCGP) and Haldor Topsoe’s Recycle energy-efficient
methanation process (TREMPTM), is the combination of some advanced technologies
and would be flexible enough for future development. In order to evaluate the effect
of low rank coal on this plant, IBC coal (Indonesian lignite) is chosen as the input
feedstock of gasification. IBC coal has lower ash content (2.27%) and sulfur content
(0.06%), but has higher moisture content (34.05%) and oxygen content (19.59%)
compared with high rank coal.
Present investigation focuses on the evaluation of low rank coal to SNG plant, the
comparison of two drying concepts in terms of energy input and the upgrading of the
simulation plant. Firstly, five processes are simulated according to the literatures and
report from the commercial case. The two main parts, which are gasification process
and methanation process, have a good match with the commercial case. Fuel
preparation process and gas cleaning process are the simple simulation model based
on some experimental data, and the water gas shift reaction process has a higher CO
conversion (>98%). These processes have a good performance to support the
establishment of low rank coal to SNG plant. Secondly, after each process is
simulated, they are combined together and IBC coal is fed into the simulation system
for evaluating the performance of low rank coal on the coal to SNG plant. The
parameters for the evaluation are cold gas efficiency (CGE) and carbon conversion
(CC) of gasifier, syngas composition and end-product purity. Sensitivity analysis is
conducted, in order to indicate the effect of oxidant index and steam index on the
evaluating parameters. According to the sensitivity analysis and when the ratio of
oxygen to drycoal is equal to 0.91, which is the value when it has the same
temperature range and heat loss with Illinois #6, CC and CGE of IBC coal reach 99.8%
and 78.6%, respectively (Illinois #6: CC=99.4%, CGE=80.0% when oxygen/dry coal
uses the reference data.). The SNG purity of end-product is 83.5%. Thirdly, two
drying concepts, which are the conventional and recycle syngas drying processes, are
introduced into the drying system. The recycle syngas drying concept, which has a
high temperature and pressure, can reduce the energy consumption compared to the
conventional drying concept, and also saves a lot of fuel for heating up the drying
system. Fourthly, in order to meet the requirement for improving the product purity
and reducing the greenhouse gas emission, the concept of conventional carrier gas is
replaced by carbon dioxide and the optimal concepts from the sensitivity analysis are
used. Finally, based on the developed models, the coal to SNG plant is upgraded into
a low rank coal to SNG plant and the end-product purity is also improved, which
improves the CH4 purity of the end-product from 83.5% to 94%, and the
oxygen/drycoal ratio is decreased to 0.78. The CO2 content (5.2%) in the syngas from
the gasifier is lower than the original case (7.7%) that uses N2 as the carrier gas.
研究兴趣和经验
近几年,煤气化是新型煤化工和清洁发电工业的重要方向。我本科阶段应用
化学方面的教育背景,中国丰富的煤储量以及全世界对二氧化碳排放的关注等因
素让我对清洁煤技术有着浓厚的兴趣。这也是为什么我选择在韩国亚洲大学能源
处理实验室攻读煤气化方向的原因。在中国,随着电力的消耗和二氧化碳的排放
逐年增加,开发高效的能源技术和减少二氧化碳的排放已经成为我们这一代以及
将来的热门话题和共同心愿。因此,我希望能通过我的微薄之力为我们的生活环
境以及后代做出努力。众所周知,由于煤气化是洁净煤技术的发展趋势,煤气化
技术具有高的能源效率和低的温室气体排放量,因此它是煤气化多联产技术,
IGCC 以及清洁煤发电的关键技术。我希望我能获得一些好的技能并为这个领域
做出应有的贡献。
自从去韩国之后,我在 Hyung-Taek Kim 教授的指导下开始涉足能源领域。
在这两年里,我主要从事煤干燥,煤气化和煤制天然气方面的研究。
在我的硕士阶段,第一学期,我学习了有关洁净煤技术的背景,参与煤干燥
项目组协助师兄的工作。当我阅读了一些论文并完成一部分实验后,我对煤干燥
机理有了进一步的理解,我认为煤炭也具有植物细胞的质壁分离特征。因为煤炭
是植物在地下堆积成千上万年之后形成的,所以它仍保持着植物的一些特性。当
浓度差发生的时候,煤的水分含量就会发生变化,这就是为什么当我们改变干燥
气体的温度,湿度或压力的时候,干燥过程比较容易发生,它们在这个过程中为
煤的内部和外部提供了一个浓度差异。
第二学期,我在一位博士生的指导下学习印度尼西亚褐煤在滴管炉(DTF)
的结垢特性,这是我们实验室 IGCC 项目的一部分。这个实验让我学会了如何使
煤气化产生合成气以及煤灰的组成对结垢特点的影响。在实验中我们观察了在不
同材料表面不同反应条件下灰分在流化床状态下的堆积特点。
第三学期到毕业,我用 Aspen plus 软件模拟低级煤制天然气的工程模型。我
模拟工作的目的就是开发一个用低级煤作原料模拟合成天然气的生产工厂。在这
个模型中,基于以前的工作和我有限的知识储备,我模拟了五个过程:煤处理过
程,煤气化过程,气体净化过程,水煤气转移反应过程和甲烷化过程。然后把这
五个过程连接在一起用于开发一个低等煤制天然气的模拟工厂。为了考虑节能,
二氧化碳的排放以及甲烷的纯度,一些理念被用于升级模拟的煤制天然气工厂。
虽然学习的时间非常有限,但我已经尽我的最大努力让这个程序变得更好。
下面是我的硕士论文摘要:
用 Aspen plus 模拟低级煤制天然气过程并评价和提升其性能
摘要
天然气是电力和供热领域里的一种重要的燃料和能源支柱。但是在世界范围
内,天然气的消耗和价格正在逐步上涨,这使人们开始开发和寻求新的可替代性技
术,例如合成天然气(SNG)。在有丰富煤储量却缺乏天然气的国家,煤制天然气技
术是非常有前景的。现代的煤气化技术和甲烷化技术可以以一种经济可行的方式
生产合成天然气,这是一个极好的解决能源和环境问题的机会。因为低级煤有丰
富的储量,开采率低并具有较低的灰分和硫含量,所以在此研究中我们使用低级
煤生产天然气。
此工作的目的是开发一个用低级煤作原料模拟合成天然气的生产工厂。这个
模型能够灵活的适应将来的煤气天然气的需求并且联合了目前两个先进的技术:
壳牌煤气化技术和托普索甲烷化循环工艺。印度尼西亚褐煤(IBC)作为低级煤
被选为煤气化的原料并用于评价低级煤对模拟工厂的影响。和高级煤相比,IBC
煤具有较低的灰分(2.27%) 和硫含量(0.06%),但是水分含量和氧含量却很高,分
别达到了 34.05%和 19.59%。
本篇论文聚焦于三个方面:低级煤制天然气工厂的性能评价,从能量输入方
面对比两种干燥方法的耗能,模拟工厂的升级。首先,根据文献资料和商业化工
厂的报告模拟了五个过程。其中煤气化过程和甲烷化过程是两个主要的过程,并
且模拟结果与实际数据相匹配。煤处理过程和气体净化过程使用一些实验数据建
立的简单模型,水气转移反应的 CO 转化率达到了 98%以上。将这些具有良好性
能的模型用于建立低级煤制天然气工厂模拟。第二,当每个过程被模拟之后,它
们被联合在一起,用 IBC 煤做原料用于评价这个模拟工厂的性能。评估参数有:
气化炉的冷气效率和碳转化率,合成气的组成以及终端产品的纯度。灵敏度分析
用于分析氧气和蒸汽供应量对评估参数的影响。根据灵敏度分析,在与高等煤具
有相同的温度范围以及热损失的情况下,当氧气与干煤的比例达到 0.91 时,IBC
煤的碳转化率和冷气效率能分别达到 99.8%和 78.6%(在参考数据条件下,高等煤
Illinois #6 的碳转化率和冷气效率分别为 99.4%和 80%),终端产品的纯度是 83.5%。
第三,常规干燥和循环合成气干燥,这两种干燥理念被引入到干燥系统中。和常
规干燥方法相比,循环合成气由于具有高压和高温等特点,所以此方法能有效的
节省能量消耗,因为不需要外部供热加热干燥气体,所以也节省了大量的燃料。
第四,为了提高产品纯度和降低温室气体的排放,二氧化碳替代常规的氮气作为
载气以及灵敏度分析的优化结果被用于升级的模拟工厂中。最后,基于已经开发
的模型,煤制天然气工厂被升级成利用低级煤生产天然气的模型,而且终端产品
的纯度得到了提高,甲烷的纯度已经从 83.5%上升到了 94%,而且相对于升级前
的模型,升级后氧气干煤的比例也降到了 0.78。从气化炉中出来的合成气中二氧
化碳的含量(5.2%)也低于用氮气作载气时的比例(7.7%)。
Transcript for Master Course
Transcript for Bachelor Course
硕士期间研究兴趣和经验及论文摘要20120401

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硕士期间研究兴趣和经验及论文摘要20120401

  • 1. Statement of Research Interest and Experience In recent years, coal gasification is the most important direction of new coal chemical and clean power industry. During my undergraduate studies, some factors, which are my education background, the vast coal reserves in China and the concern of the CO2 emission throughout the entire world, make me have a strong interest in clean coal energy. That was why I chose to study coal gasification in energy process lab of Ajou University. In China, with the increase in the electricity consumption and the CO2 emission, developing an efficient energy technology and reducing the greenhouse gas emission have become the hot topic and the common wishes for our generation and the future. Therefore, I hope I can use my small power to do something for our living environment and next generation. As we know, coal gasification has become the trend in clean coal energy, and it has a higher energy efficiency and lower greenhouse emission, so it is the key technology in the coal gasificationpoly-generationtechnology, IGCC and clean power generation. I hope I can grasp a good skill and make my contribution for this field. Since I came to Korea, I began to study in energy field under the guidance of Professor Hyung-Taek Kim. During these two years, I am committed to the topics of coal drying, gasification and simulation of coal to SNG. For my master degree, in the first semester, I learned about the background of clean coaltechnology and entered into the project of coal drying to assist some seniors’ work. After I researched some papers and finished some experiments, I got a further understanding which provided my own opinion in the coal drying mechanism. I think the coal also have the phenomena of plasmolysis as the plant cell, because coal is derived from some plant and is formatted under the ground for hundreds years, it also has the characteristics of a plant. When the concentration difference takes place, the moisture content will be changed. That is why when we change the temperature of drying gas, the moisture content of drying gas, the drying pressure and so on; drying process is easier to happen, only if we can find some driving force to make the difference between the inner and the outer part of the coal. In the second semester, I followed one PhD candidate to study the fouling phenomena of Indonesian lignite using drop tube furnace (DTF), this is related to the IGCC project in my lab. This experience gave me the knowledge on how to make the coal gasification happen, and the effect of coal ash composition on the fouling characteristics. In the experiment, we observed the accumulation characteristics of ash
  • 2. that is produced in entrained-bed reactor in different material surface and reaction conditions. From the third semester to now, I am engaged in developing the simulation model of low rank coal to SNG plant by Aspen plus. The purpose of this work is to develop a model for the utilization of SNG plant from low rank coal using Aspen plus simulator. In this simulation model, I simulated five processes based on the previous work and my limited acquired experience: coal preparation process, gasification process, gas cleaning process, water gas shift reaction (WGS) process and methanation process. After this, they were combined to develop a low rank coal to SNG simulation plant. In order to take into consideration of the energy saving, CO2 emission and SNG purity, some concepts were introduced for the upgrading of the simulation plant. Even though the time for studying is short, I have tried my best to make everything go well. In the future years, I still want to further improve my ability and skill in the field of clean coal energy. The following is the outline of my Master’s thesis: The Performance Evaluation of Low Rank Coal - to - SNG Process with Upgraded Drying Concepts by Aspen Plus Simulation Abstract Natural gas is the fuel of choice worldwide and represents an important pillar of energy supply in the form of electricity and for covering heat demand. However consumption and price of natural gas are rising steadily throughout the entire world, bringing about the need to develop and seek technologies like SNG. Coal-to-SNG technology is promising for countries with significant proven reserves of coal but scarce natural gas. Modern coal gasification and methanation technologies constitute an excellent opportunity to address energy and environmental challenges for producing SNG in an economically attractive way. The idea of using low rank coal to produce SNG is mostly due to the abundant of low rank coal reserves. It has low mining strip ratio and good quality in terms of sulfur and ash content. The purpose of this work is to develop a model for the utilization of SNG plant from low rank coal using Aspen plus simulator. This model, which is involved in the Shell coal gasification process (SCGP) and Haldor Topsoe’s Recycle energy-efficient methanation process (TREMPTM), is the combination of some advanced technologies and would be flexible enough for future development. In order to evaluate the effect
  • 3. of low rank coal on this plant, IBC coal (Indonesian lignite) is chosen as the input feedstock of gasification. IBC coal has lower ash content (2.27%) and sulfur content (0.06%), but has higher moisture content (34.05%) and oxygen content (19.59%) compared with high rank coal. Present investigation focuses on the evaluation of low rank coal to SNG plant, the comparison of two drying concepts in terms of energy input and the upgrading of the simulation plant. Firstly, five processes are simulated according to the literatures and report from the commercial case. The two main parts, which are gasification process and methanation process, have a good match with the commercial case. Fuel preparation process and gas cleaning process are the simple simulation model based on some experimental data, and the water gas shift reaction process has a higher CO conversion (>98%). These processes have a good performance to support the establishment of low rank coal to SNG plant. Secondly, after each process is simulated, they are combined together and IBC coal is fed into the simulation system for evaluating the performance of low rank coal on the coal to SNG plant. The parameters for the evaluation are cold gas efficiency (CGE) and carbon conversion (CC) of gasifier, syngas composition and end-product purity. Sensitivity analysis is conducted, in order to indicate the effect of oxidant index and steam index on the evaluating parameters. According to the sensitivity analysis and when the ratio of oxygen to drycoal is equal to 0.91, which is the value when it has the same temperature range and heat loss with Illinois #6, CC and CGE of IBC coal reach 99.8% and 78.6%, respectively (Illinois #6: CC=99.4%, CGE=80.0% when oxygen/dry coal uses the reference data.). The SNG purity of end-product is 83.5%. Thirdly, two drying concepts, which are the conventional and recycle syngas drying processes, are introduced into the drying system. The recycle syngas drying concept, which has a high temperature and pressure, can reduce the energy consumption compared to the conventional drying concept, and also saves a lot of fuel for heating up the drying system. Fourthly, in order to meet the requirement for improving the product purity and reducing the greenhouse gas emission, the concept of conventional carrier gas is replaced by carbon dioxide and the optimal concepts from the sensitivity analysis are used. Finally, based on the developed models, the coal to SNG plant is upgraded into a low rank coal to SNG plant and the end-product purity is also improved, which improves the CH4 purity of the end-product from 83.5% to 94%, and the oxygen/drycoal ratio is decreased to 0.78. The CO2 content (5.2%) in the syngas from the gasifier is lower than the original case (7.7%) that uses N2 as the carrier gas.
  • 4. 研究兴趣和经验 近几年,煤气化是新型煤化工和清洁发电工业的重要方向。我本科阶段应用 化学方面的教育背景,中国丰富的煤储量以及全世界对二氧化碳排放的关注等因 素让我对清洁煤技术有着浓厚的兴趣。这也是为什么我选择在韩国亚洲大学能源 处理实验室攻读煤气化方向的原因。在中国,随着电力的消耗和二氧化碳的排放 逐年增加,开发高效的能源技术和减少二氧化碳的排放已经成为我们这一代以及 将来的热门话题和共同心愿。因此,我希望能通过我的微薄之力为我们的生活环 境以及后代做出努力。众所周知,由于煤气化是洁净煤技术的发展趋势,煤气化 技术具有高的能源效率和低的温室气体排放量,因此它是煤气化多联产技术, IGCC 以及清洁煤发电的关键技术。我希望我能获得一些好的技能并为这个领域 做出应有的贡献。 自从去韩国之后,我在 Hyung-Taek Kim 教授的指导下开始涉足能源领域。 在这两年里,我主要从事煤干燥,煤气化和煤制天然气方面的研究。 在我的硕士阶段,第一学期,我学习了有关洁净煤技术的背景,参与煤干燥 项目组协助师兄的工作。当我阅读了一些论文并完成一部分实验后,我对煤干燥 机理有了进一步的理解,我认为煤炭也具有植物细胞的质壁分离特征。因为煤炭 是植物在地下堆积成千上万年之后形成的,所以它仍保持着植物的一些特性。当 浓度差发生的时候,煤的水分含量就会发生变化,这就是为什么当我们改变干燥 气体的温度,湿度或压力的时候,干燥过程比较容易发生,它们在这个过程中为 煤的内部和外部提供了一个浓度差异。 第二学期,我在一位博士生的指导下学习印度尼西亚褐煤在滴管炉(DTF) 的结垢特性,这是我们实验室 IGCC 项目的一部分。这个实验让我学会了如何使 煤气化产生合成气以及煤灰的组成对结垢特点的影响。在实验中我们观察了在不 同材料表面不同反应条件下灰分在流化床状态下的堆积特点。 第三学期到毕业,我用 Aspen plus 软件模拟低级煤制天然气的工程模型。我 模拟工作的目的就是开发一个用低级煤作原料模拟合成天然气的生产工厂。在这 个模型中,基于以前的工作和我有限的知识储备,我模拟了五个过程:煤处理过 程,煤气化过程,气体净化过程,水煤气转移反应过程和甲烷化过程。然后把这 五个过程连接在一起用于开发一个低等煤制天然气的模拟工厂。为了考虑节能, 二氧化碳的排放以及甲烷的纯度,一些理念被用于升级模拟的煤制天然气工厂。 虽然学习的时间非常有限,但我已经尽我的最大努力让这个程序变得更好。 下面是我的硕士论文摘要:
  • 5. 用 Aspen plus 模拟低级煤制天然气过程并评价和提升其性能 摘要 天然气是电力和供热领域里的一种重要的燃料和能源支柱。但是在世界范围 内,天然气的消耗和价格正在逐步上涨,这使人们开始开发和寻求新的可替代性技 术,例如合成天然气(SNG)。在有丰富煤储量却缺乏天然气的国家,煤制天然气技 术是非常有前景的。现代的煤气化技术和甲烷化技术可以以一种经济可行的方式 生产合成天然气,这是一个极好的解决能源和环境问题的机会。因为低级煤有丰 富的储量,开采率低并具有较低的灰分和硫含量,所以在此研究中我们使用低级 煤生产天然气。 此工作的目的是开发一个用低级煤作原料模拟合成天然气的生产工厂。这个 模型能够灵活的适应将来的煤气天然气的需求并且联合了目前两个先进的技术: 壳牌煤气化技术和托普索甲烷化循环工艺。印度尼西亚褐煤(IBC)作为低级煤 被选为煤气化的原料并用于评价低级煤对模拟工厂的影响。和高级煤相比,IBC 煤具有较低的灰分(2.27%) 和硫含量(0.06%),但是水分含量和氧含量却很高,分 别达到了 34.05%和 19.59%。 本篇论文聚焦于三个方面:低级煤制天然气工厂的性能评价,从能量输入方 面对比两种干燥方法的耗能,模拟工厂的升级。首先,根据文献资料和商业化工 厂的报告模拟了五个过程。其中煤气化过程和甲烷化过程是两个主要的过程,并 且模拟结果与实际数据相匹配。煤处理过程和气体净化过程使用一些实验数据建 立的简单模型,水气转移反应的 CO 转化率达到了 98%以上。将这些具有良好性 能的模型用于建立低级煤制天然气工厂模拟。第二,当每个过程被模拟之后,它 们被联合在一起,用 IBC 煤做原料用于评价这个模拟工厂的性能。评估参数有: 气化炉的冷气效率和碳转化率,合成气的组成以及终端产品的纯度。灵敏度分析 用于分析氧气和蒸汽供应量对评估参数的影响。根据灵敏度分析,在与高等煤具 有相同的温度范围以及热损失的情况下,当氧气与干煤的比例达到 0.91 时,IBC 煤的碳转化率和冷气效率能分别达到 99.8%和 78.6%(在参考数据条件下,高等煤 Illinois #6 的碳转化率和冷气效率分别为 99.4%和 80%),终端产品的纯度是 83.5%。 第三,常规干燥和循环合成气干燥,这两种干燥理念被引入到干燥系统中。和常 规干燥方法相比,循环合成气由于具有高压和高温等特点,所以此方法能有效的 节省能量消耗,因为不需要外部供热加热干燥气体,所以也节省了大量的燃料。 第四,为了提高产品纯度和降低温室气体的排放,二氧化碳替代常规的氮气作为 载气以及灵敏度分析的优化结果被用于升级的模拟工厂中。最后,基于已经开发 的模型,煤制天然气工厂被升级成利用低级煤生产天然气的模型,而且终端产品 的纯度得到了提高,甲烷的纯度已经从 83.5%上升到了 94%,而且相对于升级前