Methodology for integrated design of fluids and processes using PC-SAFT
The interaction of working fluid and process is a crucial characteristic of numerous processes in energy engineering and process engineering. In energy engineering, the efficiency of important processes, e.g. chiller, heat pumps or Organic Rankine Cycles, depends on the selected working fluid of the cycle. Important processes in process engineering also depend on working fluids, which are not used for the actual production of the manufactured product, but serve as a chemical auxiliary (e.g., solvents).
Today, working fluid selection and process optimization are carried out separately following a two-stage approach: In a first stage, promising working fluid candidates are preselected based on heuristics and an individual process optimization is performed in a second stage. If the optimal working fluid is not covered by the heuristics, the separation of working fluid selection and process optimization leads to suboptimal solutions and is thus not suitable to ensure a thermodynamic and economic optimal efficiency of the process.
In cooperation with the Institute of Thermodynamics and Thermal Process Engineering of Stuttgart University, a model-based and generally applicable method for integrated design of working fluid and process is developed in this project.
The aim of this research is the simultaneous optimization of processes and working fluid. Here, the focus of the LTT is on Organic Rankine Cycles, which enable power generation from low-temperature heat.Copyright: LTT
For this purpose, the continuous-molecular targeting computer-aided molecular design (CoMT-CAMD) approach, which is co-developed by the LTT, should be extended. This approach is a completely unique and novel framework in comparison to conventional design approaches. The link between a detailed process model and a thermodynamically consistent fluid model, the PC-SAFT equation of state, enables identifying the optimal working fluid and the corresponding optimal process parameters by optimizing a process-based objective function. The working fluid selection can be performed based on database search or computer-aided molecular design (CAMD). Hereby, novel and promising working fluids can be identified. Consequently, the CoMT-CAMD approach enables to use the full potential of a low-temperature heat source and allows for tailoring a process to the specific application.