Engineering Process Intensification and Catalysis

工程过程强化和催化

• 批准号: CRC-2021-00088
• 负责人: Boffito, DariaCamilla
• 金额: $ 7.29万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=746990
• 关键词: Engineering; Process; Intensification; Catalysis

Economic growth while accounting for social needs, climate change and environmental protection are key to tackle the United Nations Sustainable Development Goals (UN-SDGs) and accelerate the energy transition towards the electrification of the chemical industry. This CRC in Engineering Process Intensification (PI) and Catalysis (EPIC) has as objectives i) to address the technological gap between PI and catalysis; ii) to quantify the energy density and efficiency of alternative energy vectors to accelerate and decrease the footprint and cost for chemical reactions and iii) to identify life cycles and quantify techno-economics of these innovative, disruptive technologies. To do so, the CRC surveys a series of catalysts and reactive systems in different intensified reactors (ultrasound, microwaves, spinning disc and continuous mechano-chemical reactors) for which time scale analysis will be performed to quantify the individual and overall energy density and efficiency of the transport phenomena involved. In a holistic approach, life cycle and cost analysis (LC-CA), as well techno-economic analysis (TEA) are performed. The synergistic effects of catalysis and energy intensification methods have been little explored so far. Another original character of this CRC lies in applying, for the first time, the time scale analysis to intensified processes to quantify the characteristic time and energy flux (density and efficiency) of each transport phenomenon in relation to the others, thus providing new metrics for PI and develop new PI indicators. For the first time, dynamic LC-CA models are applied to PI technologies and TEA is performed for both full-scale and modular units. This CRC will generate a number of high impact contributions since i) it identifies synergies between catalysts and intensified methods to increase productivity by minimizing energy input and reactor size; ii) it develops high speed particle image velocimetry methods that can be applied to different systems; iii) it proposes a methodology to calculate PI factors for each transport phenomenon and an overall PI factor; iv) it develops realistic LC-CA and TEA models that take into account electricity grid technology immaturity; v) it accelerates the knowledge and thus the adoption of PI technologies to the market. Ultimately vi) PI technologies have the potential to be implemented in developing countries, by local renewable-based modular (small scale) plants.

经济增长在考虑社会需求，气候变化和环境保护的同时，是解决联合国可持续发展目标（UN-SDG）并加速到化学工业电气化的能源过渡的关键。工程过程强化（PI）和催化（EPIC）的CRC作为目标i）解决了PI和催化之间的技术差距； ii）量化替代能量载体的能量密度和效率，以加速和降低化学反应的足迹和成本，iii）确定生命周期并量化这些创新，破坏性技术的技术经济学。为此，CRC在不同加强反应器（超声，微波，旋转盘和连续的机械化学反应器）中调查了一系列催化剂和反应性系统，为此，将进行时间尺度分析以量化涉及运输现象的个体和整体能量和整体能量密度和效率。在整体方法中，生命周期和成本分析（LC-CA）以及技术经济分析（TEA）也进行了。到目前为止，催化和能量强化方法的协同作用几乎没有得到探索。 这种CRC的另一个原始特征在于，第一次将时间尺度分析应用于加强过程，以量化每个传输现象的特征时间和能量通量（密度和效率）相对于其他现象，从而为PI提供了新的指标并开发了新的PI指标。首次将动态LC-CA模型应用于PI技术，并为全尺度和模块化单元进行茶。该CRC将产生许多高影响力的贡献，因为i）它可以通过最大程度地减少能量输入和反应器的大小来确定催化剂和加强方法之间的协同作用，以提高生产率； ii）它开发了可以应用于不同系统的高速粒子图像速度法。 iii）提出了一种计算每种运输现象和总体PI因子的PI因子的方法； iv）它开发了现实的LC-CA和茶模型，这些模型考虑了电网技术的不成熟； v）它加速了知识，从而加速了PI技术的知识。最终，VI）PI技术有可能通过本地可再生的模块化（小规模）工厂在发展中国家实施。