MULTISCALE SYSTEMS MODELLING FOR CCS ANALYSIS AND OPTIMISATION

用于 CCS 分析和优化的多尺度系统建模

• 批准号: NE/H013903/1
• 负责人: Jim Watson
• 金额: $ 25.02万
• 依托单位: University of Sussex
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FH013903%2F1
• 关键词: MULTISCALE; SYSTEMS; MODELLING; CCS; ANALYSIS; MULTISCALE; SYSTEMS; MODELLING; CCS; ANALYSIS

The UK has challenging GHG reduction targets. It is believed that carbon capture and storage (CCS) will play a critical role in the energy systems of the future, in part to support the decarbonisation objective and in part to provide grid flexibility in a future system including a large fraction of less responsive low carbon energy systems (e.g. nuclear baseload and intermittent wind). The whole systems modelling and analysis programme proposed here is designed to support wider UK initiatives by reducing technological risk and identifying performance bottlenecks. CCS will require substantial capital investment in capture and transport systems and storage complex management. Although elements of the whole chain have been studied through modelling and experimentation, there is little work on whole system assessment. For complex systems such as CCS, whole system assessment is vital ahead of large scale deployment as it identifies critical integration and interaction issues between the components and evaluates whole system performance as a function of component design parameters. Thus the whole system may be optimised; simply optimising the design of individual components is likely to result in a sub-optimal system design. The proposed research methodology is based on multiscale modelling. This involves the development of fit-for-purpose models of the individual components which describe phenomena that operate over different length and time scales and which support integration and data exchange across scales. The reason for this is that relatively localised phenomena (e.g. mass transfer in an amine scrubber) might affect the overall system transient response by limiting the rate at which the power plant flue gas flowrate can be turned up or down. Similarly, the important performance trade-offs in individual component designs must be characterised and used for overall system design. There are a number of important issues to be resolved regarding future CCS systems; the applicants believe that multiscale systems modelling approach is ideal to develop relevant insights and guidance. Examples of the issues to be addressed through whole systems modelling, analysis and optimisation include: - The development and application of a methodology to optimise the time-phased evolution of the whole CCS system design (incorporating its important individual components), including sources to recruit and location of storage sites, balancing long-term and short-term investment imperatives. - Performing integrated assessments of alternative CCS systems, through the application of fit-for-purpose models (e.g. those able to quantify trace emissions of harmful substances) and rigorous life-cycle based analyses. - Characterising the transient performance of the integrated system (how will it perform in actual operation?), understanding whether or not it affects the flexibility of the wider energy system with which it is interfaced, what the safety critical components are and the network's dynamic stability and operability bottlenecks - Understand issues of systems integration - how do the different phenomena associated with the different components in the system cause effects to propagate through the network (e.g. the effect of impurities in captured CO2, the transport network and the storage complex). What are the important considerations that must be taken into consideration when designing and operating the whole system? The outcome of the programme will be relevant to a very wide range of stakeholders interested in CCS, including industry, regulatory and policy agencies and academia. The most important contributions of the project will be: - making available methodologies to design and analyse future CCS systems - generating insights into the most important interactions involved in system design and operation - quantifying (economics, environmental impact, safety & operability) the performance of UK CCS systems

英国具有挑战性的温室气体减少目标。据认为，碳捕获和存储（CCS）将在未来的能源系统中发挥关键作用，部分是为了支持脱碳目标，部分是在未来系统中提供网格灵活性，包括大量响应较低的低碳能源系统（例如，核基底力和间歇性风）。此处提出的整个系统建模和分析计划旨在通过降低技术风险和识别性能瓶颈来支持更广泛的英国计划。 CCS将需要大量资本投资在捕获和运输系统以及存储复杂管理上。尽管已经通过建模和实验研究了整个链的要素，但整个系统评估几乎没有工作。对于复杂的系统（例如CCS），整个系统评估在大规模部署之前至关重要，因为它可以确定组件之间的关键集成和交互问题，并评估整个系统性能是组件设计参数的函数。因此，可以优化整个系统；简单地优化单个组件的设计可能会导致次优系统设计。提出的研究方法基于多尺度建模。这涉及单个组件的拟合拟合模型的开发，这些模型描述了在不同的长度和时间尺度上运行的现象，并支持跨量表的集成和数据交换。这样做的原因是，相对局部的现象（例如，胺洗涤器中的质量转移）可能会通过限制可以向上或降低发电厂烟气流量的速率来影响整体系统瞬态响应。同样，必须将各个组件设计中的重要性能权衡表征为整体系统设计。关于未来的CCS系统，有许多重要问题需要解决；申请人认为，多尺度系统建模方法是开发相关见解和指导的理想选择。通过整个系统建模，分析和优化解决的问题的示例包括： - 开发和应用方法，以优化整个CCS系统设计的基于时间的演变（包括其重要的个体组件），包括招募和储存地点的来源，并平衡长期和短期投资的责任。 - 通过应用拟合拟合模型（例如，那些能够量化有害物质的痕量排放）和严格的基于生命周期的分析来对替代CCS系统进行综合评估。 - 表征集成系统的瞬时性能（在实际操作中如何执行？），了解它是否影响它与之交织的更广泛能量系统的灵活性，安全性关键组件是什么，网络的动态稳定性和可操作性稳定性和可操作性瓶颈 - 了解系统整合的问题 - 与系统中的不同效果相关的效果，该效果是如何效应的，该效果是eve e.网络的效果，即在e eve e.网络上效应的效果，而e eve e e ever ever e e ever e ever ever ever ever ever ever e e ever e ever ever e e ever e ever ever ever ever ever e e ever的效果，eve的效果（e. CO2，运输网络和存储综合体）。在设计和操作整个系统时，必须考虑哪些重要考虑因素？该计划的结果将与对CCS感兴趣的各种利益相关者有关，包括行业，监管机构和政策机构以及学术界。该项目的最重要贡献是： - 提供设计和分析未来CCS系统的方法论 - 对系统设计和操作中涉及的最重要的交互作用 - 量化（经济学，环境影响，安全和操作性），英国CCS系统的性能