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Dynamic Modelling of a CO2 Capture and Purification Unit for Oxy-Coal-Fired Power Plants

机译:富氧煤电厂CO2捕集与净化装置的动态建模

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摘要

Even though the use of renewable energy in electricity generation has significantly increased over time, coal is projected to remain as the primary fuel in electricity generation worldwide in the next decades due to its availability, stability of supply and cost. However, coal-fired power plants are the largest stationary sources of CO2 emissions that contribute to global warming. Several technologies have been developed to mitigate CO2 emissions from coal-fired power plants. Oxy-combustion is a promising pathway to capture CO2 from coal fired power plants that competes favourably with other CO2 capture technology pathways such as post-combustion and pre-combustion. Oxy-combustion has attracted attention because it provides a CO2-enriched flue gas stream which can be further purified using a relatively simple multi-stage compression and cooling processes. Currently, there is no oxy-coal-fired power plant in commercial-scale operation. Thus, the transition towards commercial scale operation is the main challenge for this technology. The CO2 capture and purification unit (CO2CPU) is an important unit in oxy-coal-fired power plants that determine the quality of the CO2 product and energy consumption of the power plants. Several studies published on the CO2CPU process have evaluated the performance of this system at steady state. Insight regarding the dynamic behaviour of the CO2CPU process is very limited and a mechanistic dynamic model of the CO2CPU is not available in open literature. Thus, research on dynamic modelling and control system development is still required to demonstrate the operability and controllability of this technology. This study aims to develop, test and validate a dynamic model of the CO2CPU for oxy-coal-fired power plants. Detailed mathematical models of each unit operation in the CO2CPU are provided in this study. The main challenge was to develop a dynamic model of a multi-stream heat exchanger that involves multiple process streams and encounters both condensing and boiling two phase flows. A dynamic model that is not computationally intensive, to slow down the entire CO2CPU plant model, and that can predict reasonable fluid temperatures in the multi-stream heat exchanger was developed in this study. The proposed multi-stream heat exchanger model was based on a shell and tube configuration that considers only axial changes in flow, i.e., a 1D model. Likewise, the two phase region in this unit was modelled using a homogenous model, which is a simplified discretized two-phase flow model that reduces the computational effort and complexity of the multi-stream heat exchanger process model. The homogenous model takes into account the changes in the fluid properties in the two phase region to calculate the heat transfer coefficients of the multi-stream heat exchanger models. To the author’s knowledge, the model presented in this study represents the first mechanistic process model that describes the transient behaviour of a CO2CPU for oxy-fired power plant.Two design configurations of the CO2CPU were considered in this study, i.e. the Air Products’ CO2CPU and the CanmetENERGY’s proprietary CO2CPU (CanCO2). Both plants are designed based on a two-stage flash separation process. The CanCO2 is an extended design of the Air Products’ CO2CPU. The presence of an external recycle stream , recycling a portion of the CO2 rich effluent gas stream from the first flash drum to the compressor train, in the CanCO2 is a major distinction between the two CO2CPU configurations and enhances the CO2 capture rate for the CanCO2 process. Nevertheless, the addition of this recycle stream makes the CanCO2 plant model convergence more challenging than the Air Products’ CO2CPU since it adds natural feedback into the system. A systematic procedure to perform the process integration of all the unit operations considered in the CO2CPU flowsheets was developed and presented in this study. Stand-alone unit operation models were developed, coded and then connected together one at a time. Dynamic models of the Air Products’ CO2CPU and the CanCO2 were developed and validated at steady state using design data. Reasonable agreement between the developed models and the design data were obtained for both CO2CPU configurations. Several dynamic tests were performed to gain insight into the transient behaviour of the CO2CPU. The results obtained from the transient analyses clearly demonstrate that both CO2CPU plants are highly nonlinear processes. The CO2 recovery and the CO2 product purity obtained from the base case of both plants are similar, approximately at 89 wt% and 95 mol% respectively. The operating conditions of the first flash drum were found to play a key role on the CO2CPU performance of both plants. In addition, both models indicate that the CO2 recovery is more sensitive to the operating conditions than that of the CO2 product purity. The CO2 purity is more sensitive to the flue gas composition and responds to all changes performed in this study faster than the CO2 recovery. Because of the recycle stream, the CanCO2 response to all changes is slower than the Air Products’ CO2CPU. Nevertheless, the use of a recycle stream improves the CO2 recovery and increases the number of manipulated variables in the CanCO2, thus this system has more alternative control structures than the Air Products’ CO2CPU. The models developed in this study can be extended to include the controllability analysis and the control structure design for the CO2CPU; and the integration of oxy-boiler, steam cycle and also air separation unit (ASU) into a complete dynamic model of the oxy-fired power plant that will be very useful for oxyfuel combustion technology scale-up.
机译:尽管随着时间的推移,可再生能源在发电中的使用已显着增加,但由于其可利用性,供应的稳定性和成本,预计在未来几十年中,煤炭仍将是全球发电的主要燃料。但是,燃煤电厂是造成全球变暖的最大的固定CO2排放源。已经开发了多种技术来减轻燃煤电厂的二氧化碳排放。富氧燃烧是从燃煤电厂捕获CO2的有前途的途径,它与其他CO2捕获技术途径(例如后燃烧和预燃烧)竞争激烈。含氧燃烧吸引了人们的注意,因为它提供了富含CO2的烟道气流,可以使用相对简单的多级压缩和冷却过程进一步净化。目前,尚无商业规模运行的燃煤电厂。因此,向商业规模运营的过渡是该技术的主要挑战。 CO2捕集和净化装置(CO2CPU)是燃煤电厂的重要装置,它决定了CO2产品的质量和电厂的能耗。关于CO2CPU工艺的一些研究已经评估了该系统在稳态下的性能。关于CO2CPU进程的动态行为的见解非常有限,公开文献中还没有CO2CPU的机械动力学模型。因此,仍然需要对动态建模和控制系统开发进行研究,以证明该技术的可操作性和可控性。这项研究旨在开发,测试和验证用于燃煤电厂的CO2CPU的动态模型。本研究提供了CO2CPU中每个单元操作的详细数学模型。主要挑战是开发一种多流热交换器的动力学模型,该模型涉及多个工艺流,并且遇到冷凝和沸腾两相流。在此研究中,开发了一个动态模型,该模型不占用大量计算资源,可以减慢整个CO2CPU工厂模型的运行速度,并且可以预测多流热交换器中的合理流体温度。提出的多流换热器模型基于仅考虑流量轴向变化的壳管结构,即一维模型。同样,使用均质模型对该单元中的两相区域进行建模,该模型是简化的离散化两相流模型,可减少多流热交换器过程模型的计算工作量和复杂性。均匀模型考虑了两相区域中流体特性的变化,以计算多流热交换器模型的传热系数。据作者所知,本研究中提出的模型代表了第一个描述氧燃烧电厂CO2CPU瞬态行为的机械过程模型。研究中考虑了CO2CPU的两种设计配置,即Air Products的CO2CPU以及CanmetENERGY的专有CO2CPU(CanCO2)。两家工厂均基于两阶段的闪蒸分离工艺进行设计。 CanCO2是Air Products CO2CPU的扩展设计。 CanCO2中存在外部循环流(将一部分富含CO2的废气流从第一闪蒸鼓循环到压缩机组)是两种CO2CPU配置之间的主要区别,并提高了CanCO2工艺的CO2捕集率。尽管如此,由于添加了这种再循环流,因此CanCO2工厂模型的收敛性比Air Products的CO2CPU更具挑战性,因为它向系统中添加了自然反馈。在这项研究中,开发并提出了一个系统的程序来执行在CO2CPU流程图中考虑的所有单元操作的过程集成。开发了独立的单元操作模型,进行了编码,然后一次将其连接在一起。使用设计数据开发并验证了Air Products CO2CPU和CanCO2的动态模型并在稳态下进行了验证。两种CO2CPU配置都获得了开发模型与设计数据之间的合理一致性。进行了几次动态测试,以深入了解CO2CPU的瞬态行为。从瞬态分析获得的结果清楚地表明,这两个CO2CPU工厂都是高度非线性的过程。从两种植物的基本情况获得的CO 2回收率和CO 2产物纯度相似,分别约为89wt%和95mol%。发现第一个闪蒸鼓的运行条件对两家工厂的CO2CPU性能均起关键作用。此外,这两个模型都表明,CO2回收比CO2产品纯度对操作条件更为敏感。 CO2纯度对烟气成分更敏感,并且对本研究中进行的所有变化的响应速度都比CO2回收快。由于存在循环流,CanCO2对所有更改的响应要慢于Air Products的CO2CPU。不过,使用循环流可提高二氧化碳的回收率,并增加CanCO2中可操纵变量的数量,因此,该系统比Air Products的CO2CPU具有更多的替代控制结构。本研究开发的模型可以扩展到包括CO2CPU的可控性分析和控制结构设计。并将氧气锅炉,蒸汽循环以及空气分离装置(ASU)集成到氧气发电厂的完整动态模型中,这对于扩大氧气燃料燃烧技术非常有用。

著录项

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    Chansomwong Atchariya;

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  • 年度 2014
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  • 正文语种 en
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