Engineering Process Intensification and Catalysis

经济增长，同时考虑到社会需求，气候变化和环境保护是实现联合国可持续发展目标（UN-SDG）和加速能源向化学工业电气化过渡的关键。工程过程强化（PI）和催化（EPIC）的CRC目标是：i）解决PI和催化之间的技术差距; ii）量化替代能源载体的能量密度和效率，以加速和减少化学反应的足迹和成本; iii）确定生命周期并量化这些创新，颠覆性技术的技术经济学。为此，CRC调查了不同强化反应器（超声波，微波，旋转圆盘和连续机械化学反应器）中的一系列催化剂和反应系统，将对其进行时间尺度分析，以量化所涉及的传输现象的个体和整体能量密度和效率。在整体方法中，进行生命周期和成本分析（LC-CA）以及技术经济分析（TEA）。迄今为止，催化和能量强化方法的协同效应很少被探索。 该CRC的另一个原始特征在于首次将时间尺度分析应用于强化过程，以量化每个传输现象相对于其他传输现象的特征时间和能量通量（密度和效率），从而为PI提供新的度量标准并开发新的PI指标。首次将动态LC-CA模型应用于PI技术，并对全尺寸和模块化单元进行TEA。该CRC将产生许多高影响的贡献，因为i）它确定催化剂和强化方法之间的协同作用，以通过最小化能量输入和反应器尺寸来提高生产率; ii）它开发了可应用于不同系统的高速粒子图像测速方法; iii）它提出了计算每种传输现象的PI因子和总PI因子的方法; iv）它开发了现实的LC-CA和TEA模型，考虑到电网技术的不成熟; v）它加速了知识的积累，从而加速了PI技术在市场上的采用。最终vi）PI技术有潜力在发展中国家由当地可再生模块化（小规模）工厂实施。

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.