scholarly journals Batch Distillation: Thermodynamic Efficiency

10.5772/36703 ◽  
2012 ◽  
Author(s):  
Jos C. ◽  
Asteria Narvez-Garc
Keyword(s):  
Thermodynamic Efficiency ◽  
Batch Distillation

scholarly journals Maximum thermodynamic efficiency problem in batch distillation

2011 ◽  
Vol 28 (2) ◽  
pp. 333-342 ◽  
Author(s):  
J. C. Zavala-Loría ◽  
A. Ruiz-Marín ◽  
C. Coronado-Velasco
Keyword(s):  
Thermodynamic Efficiency ◽  
Batch Distillation

Energy saving in batch distillation for separation of ternary zeotropic mixture integrated with vapor recompression scheme: dynamics and control

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Gandu Radhika ◽  
Akash Kumar Burolia ◽  
Pandiyan Kuppusamy Raghu Raja ◽  
Seshagiri Rao Ambati ◽  
Dipesh S. Patle ◽  
...  
Keyword(s):  
Closed Loop ◽  
Energy Savings ◽  
Open Loop ◽  
Single Stage ◽  
Large Temperature ◽  
Thermodynamic Efficiency ◽  
Batch Distillation ◽  
Proportional Integral ◽  
Zeotropic Mixture ◽  
Vapor Recompression

Abstract In this work, tight composition control and in parallel the operation is integrated with vapor recompression scheme (VRC) is proposed to achieve energy savings and maximum product at a specified high purity for the separation of ternary zeotropic mixture in batch distillation. Firstly, the model representing a ternary system of hexanol/octanol/decanol has been simulated to analyze the open-loop and close-loop dynamics of the process. Secondly, the open-loop and closed-loop operations are integrated with single stage VRC scheme to achieve energy savings. Single stage VRC is operated at very high compression ratio (CR) due to the large temperature difference of the top and bottom streams in batch distillation column. To further improve the thermodynamic efficiency of single stage VRC, double stage compression without intercoolers between the stages of VRC is proposed. Two control schemes have been implemented for constant composition, namely proportional integral (PI) controller and nonlinear gain scheduling proportional integral (GSPI) with and without VRC in closed-loop. The results shows that double stage VRC with GSPI algorithm provides better performance than conventional in terms of energy, product amount and Integral Square Error (ISE).

scholarly journals Learning the best nanoscale heat engines through evolving network topology

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuto Ashida ◽  
Takahiro Sagawa
Keyword(s):  
Network Topology ◽  
Heat Engine ◽  
Search Space ◽  
Single Electron ◽  
Thermodynamic Efficiency ◽  
Full Potential ◽  
Thermal Systems ◽  
Nanoscale Systems ◽  
Heat Engines ◽  
Many Body Interactions

AbstractThe quest to identify the best heat engine has been at the center of science and technology. Considerable studies have so far revealed the potentials of nanoscale thermal machines to yield an enhanced thermodynamic efficiency in noninteracting regimes. However, the full benefit of many-body interactions is yet to be investigated; identifying the optimal interaction is a hard problem due to combinatorial explosion of the search space, which makes brute-force searches infeasible. We tackle this problem with developing a framework for reinforcement learning of network topology in interacting thermal systems. We find that the maximum possible values of the figure of merit and the power factor can be significantly enhanced by electron-electron interactions under nondegenerate single-electron levels with which, in the absence of interactions, the thermoelectric performance is quite low in general. This allows for an alternative strategy to design the best heat engines by optimizing interactions instead of single-electron levels. The versatility of the developed framework allows one to identify full potential of a broad range of nanoscale systems in terms of multiple objectives.

Optimizing reboiler duty and reflux ratio profiles of vapor recompressed batch distillation

2019 ◽  
Vol 213 ◽  
pp. 553-570 ◽  
Author(s):  
Sidharth Sankar Parhi ◽  
Gade Pandu Rangaiah ◽  
Amiya K. Jana
Keyword(s):  
Reflux Ratio ◽  
Batch Distillation
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