This paper presents the development and application of systematic framework to perform new and retrofit phenomena-based synthesis-intensification generating well-known/existing as well as novel intensified solutions. The fundamental pillars of this framework are generic definition, expansion and use of Phenomena Building Blocks (PBBs) that include all possible phases (spanning vapor, liquid and solid), identification of principle PBBs using physical property and thermodynamic insights and generation of phenomena-based superstructure to systematically identify novel, innovative and intensified flowsheet alternatives. The generated flowsheet options are ranked based on Enthalpy Index (EI) to identify promising candidates for detailed analysis. One of the key features of this framework that distinguishes it from preceding methods for phenomena-based synthesis is that the flowsheet alternatives are synthesized from phenomena-based superstructure rather than relying on a base-case for phenomena and/or hotspots identification and replacement of base-case unit operations accordingly. That is, a phenomena-based superstructure is generated to directly identify intensified solutions. New phenomena, their classes and systematic algorithms are developed in order to generate novel intensified solutions. These developments and systematic framework are illustrated through case study involving production of Dimethyl Ether (DME). The results confirm that using this approach, promising alternatives with novel unit-operations are generated in systematic way.

本文介绍了系统框架的开发和应用，以执行基于新现象和改进现象的综合强化，从而生成众所周知/现有的以及新颖的强化解决方案。该框架的基本支柱是通用定义，扩展和使用包括所有可能阶段（跨越蒸气，液体和固体）的现象构造块（PBB），使用物理性质和热力学见解识别原理性PBB以及基于现象的产生上层建筑，系统地确定新颖，创新和强化的流程替代方案。生成的流程图选项将根据焓指数（EI）进行排名，以找出有希望的候选人进行详细分析。该框架与以前的基于现象的综合方法不同的关键特征之一是，流程替代方案是从基于现象的上层建筑中合成的，而不是依靠基本情况进行现象和/或热点的识别和基础的替换-案例单位操作相应。即，生成基于现象的上层建筑以直接识别强化的解决方案。开发新现象，其类别和系统算法以生成新颖的强化解决方案。通过涉及二甲醚（DME）生产的案例研究说明了这些发展和系统框架。结果证实，使用这种方法，系统地产生了具有新颖单元操作的有前途的替代方案。