ABSTRACT
This review article explores the azeotropic mixtures and investigates the application of Pressure Swing Distillation (PSD) as an effective separation method. Azeotropic mixtures have compositions that result in vapor and liquid phases with the same composition, making them challenging to separate using simple distillation. The content offers a structured approach to design, optimize, and execute separation processes, emphasizing the importance of heat integration, process optimization, control strategies, economic considerations, and environmental impacts within the context of PSD. Furthermore, these findings provide valuable insights for practitioners in the selection of appropriate heat-integration, optimization methods, and balancing the trade-off between economy and controllability when selecting an appropriate separation technique by balancing the economic benefits and controllable performance of different methods. PSD is reviewed detailing thermodynamic equilibrium, selection of pressure and column sequence, heat integration, optimization techniques, control strategy, and economics. The recent progresses of PSD are evaluated to determine how different heat integration techniques are useful in achieving cost and energy savings. The review provides valuable guidance to researchers and engineers navigating the complexities of azeotropic mixture separation, with a specific focus on PSD practical applications.
NOMENCLATURE
CEPCI | = | chemical engineering plant cost index |
CSCinst | = | installed cost of column shell |
FHIPSD | = | fully heat-integrated PSD |
ƒi0L | = | liquid fugacity in standard state |
GA | = | genetic algorithm |
HIDiC | = | heat-integrated distillation column |
HIPSD | = | heat integrated PSD |
HOM | = | heuristic optimization method |
HP/LP | = | high pressure/low pressure |
HPC | = | high-pressure column |
Ki | = | phase equilibrium constant |
LPC | = | low-pressure column |
M&S | = | Marshall & Swift index |
MP | = | medium pressure |
NT | = | number of stages |
POM | = | partial optimization method |
PSBD | = | pressure-swing batch distillation |
PSD | = | pressure-swing distillation |
QSPR | = | quantitative structure-property relationship |
RR | = | reflux ratio |
SAA | = | sequential annealing algorithm |
SIM | = | sequential iterative method |
TAC | = | total annual cost |
TCinst | = | installed cost of trays |
TCS | = | temperature control stage |
VDC | = | variable diameter column |
VLE | = | vapor-liquid equilibrium |
VRC | = | vapor recompression column |
αij | = | relative volatility |
γiL | = | activity coefficient |
Acknowledgments
Financial assistance provided by Oil and Natural Gas Corporation Energy Centre, New Delhi, India is gratefully acknowledged. Ramdas S. Kadam acknowledges the contribution of SERB, DST, GOI, and CII for Prime Minister Fellowship. Ganapati D. Yadav acknowledges support as R.T. Mody Distinguished Professor and Tata Chem. S Darbari Distinguished Professor of Leadership and Innovation, and J. C. Bose National Fellow and National Science Chair (Mode 1) from SERB/DST-GOI.
Disclosure statement
No potential conflict of interest was reported by the author(s).