Reducing total annual cost and CO2 emissions in batch distillation for separating ternary wide boiling mixtures using vapor recompression heat pump
-
Radhika Gandu
Abstract
This paper presents cost-effective heat pump assisted vapor recompression (VRC) design algorithms for the separation of ternary wide boiling mixture in batch distillation in order to reduce total annual cost (TAC) and carbon dioxide (CO2) emissions. A minimum TAC and CO2 is required by the batch distillation process industry for any investments in heat integrated systems, such as VRC. Consequently, the design conditions for implementing VRC should be chosen such that the energetic performance is maximum at minimum TAC. The model system selected in this paper is an application involving high temperature lift, that is, hexanol–octanol–decanol ternary wide boiling mixture. First, a systematic simulation algorithm was developed for conventional multicomponent batch distillation (CMBD) and single-stage vapor recompressed multicomponent batch distillation (SiVRMBD) to determine the optimal number of stages based on the maximum TAC savings. The SiVRMBD saves more energy and TAC than CMBD. However, SiVRMBD has a high compression ratio (CR) throughout the operation, which is not practically feasible for the batch distillation processing. Second, in order to increase the performance and minimize the SiVRMBD weakness, a novel optimal multi-stage vapor recompression algorithm was proposed to operate at the lowest possible CR (<3.5) throughout the batch operation while also conserving the most TAC. Overall, the findings suggest that the proposed optimal multi-stage VRC reduces TAC and CO2 emissions significantly when compared to CMBD. Finally, the influence of the different feed compositions on VRC performance is also studied.
-
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
-
Research funding: None declared.
-
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Sinnott, RK, Coulson, JM, Richardson, JF. Chemical engineering design. Oxford: Elsevier Butterworth-Heinemann; 2005.Search in Google Scholar
2. Cabrera-Ruiz, J, Jiménez-Gutiérrez, A, Segovia-Hernández, JG. Assessment of the implementation of heat-integrated distillation columns for the separation of ternary mixtures. Ind Eng Chem Res 2011;50:2176–81. https://doi.org/10.1021/ie101939e.Search in Google Scholar
3. Jogwar, SS, Daoutidis, P. Energy flow patterns and control implications for integrated distillation networks. Ind Eng Chem Res 2010;49:8048–61. https://doi.org/10.1021/ie101006v.Search in Google Scholar
4. Naito, K, Nakaiwa, M, Huang, K, Endo, A, Aso, K, Nakanishi, T, et al.. Operation of a bench-scale ideal heat integrated distillation column (HIDiC): an experimental study. Comput Chem Eng 2000;24:495–9. https://doi.org/10.1016/s0098-1354(00)00513-5.Search in Google Scholar
5. Gadalla, MA, Olujic, Z, Jansens, PJ, Jobson, M, Smith, R. Reducing CO2 emissions and energy consumption of heat-integrated distillation systems. Environ Sci Technol 2005;39:6860–70. https://doi.org/10.1021/es049795q.Search in Google Scholar PubMed
6. Iwakabe, K, Nakaiwa, M, Huang, K, Nakanishi, T, Røsjorde, A, Ohmori, T, et al.. Energy saving in multicomponent separation using an internally heat-integrated distillation column (HIDiC). Appl Therm Eng 2006;26:1362–8. https://doi.org/10.1016/j.applthermaleng.2005.05.026.Search in Google Scholar
7. Suphanit, B. Design of internally heat-integrated distillation column (HIDiC): uniform heat transfer area versus uniform heat distribution. Energy 2010;35:1505–14. https://doi.org/10.1016/j.energy.2009.12.008.Search in Google Scholar
8. Shenvi, AA, Herron, DM, Agrawal, R. Energy efficiency limitations of the conventional heat integrated distillation column (HIDiC) configuration for binary distillation. Ind Eng Chem Res 2011;50:119–30. https://doi.org/10.1021/ie101698f.Search in Google Scholar
9. Jana, AK. A new divided-wall heat integrated distillation column (HIDiC) for batch processing: feasibility and analysis. Appl Energy 2016;172:199–206. https://doi.org/10.1016/j.apenergy.2016.03.117.Search in Google Scholar
10. Maiti, D, Jana, AK, Samanta, AN. A novel heat integrated batch distillation scheme. Appl Energy 2011;88:5221–5. https://doi.org/10.1016/j.apenergy.2011.06.040.Search in Google Scholar
11. Johri, K, Babu, GU, Jana, AK. Performance investigation of a variable speed vapor recompression reactive batch rectifier. AIChE J 2011;57:3238–42.10.1002/aic.12546Search in Google Scholar
12. Kiran, B, Jana, AK. Introducing vapor recompression mechanism in heat‐integrated distillation column: Impact of internal energy driven intermediate and bottom reboiler. AIChE J 2015;61:118–31.10.1002/aic.14620Search in Google Scholar
13. Babu, GU, Pal, EK, Jana, AK. An adaptive vapor recompression scheme for a ternary batch distillation with a side withdrawal. Ind Eng Chem Res 2012;51:4990–7. https://doi.org/10.1021/ie201413p.Search in Google Scholar
14. Babu, GU, Aditya, R, Jana, AK. Economic feasibility of a novel energy efficient middle vessel batch distillation to reduce energy use. Energy 2012;45:626–33. https://doi.org/10.1016/j.energy.2012.07.035.Search in Google Scholar
15. Bhaskar Babu, GU, Jana, AK. Reducing total annualized cost and CO2 emissions in batch distillation: dynamics and control. AIChE J 2013;59:2821–32. https://doi.org/10.1002/aic.14076.Search in Google Scholar
16. Modla, G, Lang, P. Heat pump systems with mechanical compression for batch distillation. Energy 2013;62:403–17. https://doi.org/10.1016/j.energy.2013.09.036.Search in Google Scholar
17. Khan, MM, Babu, GU, Jana, AK. Improving energy efficiency and cost-effectiveness of batch distillation for separating wide boiling constituents. 1. Vapor recompression column. Ind Eng Chem Res 2012;51:15413–22. https://doi.org/10.1021/ie300907b.Search in Google Scholar
18. Parhi, SS, Rangaiah, GP, Jana, AK. Multi-objective optimization of vapor recompressed distillation column in batch processing: improving energy and cost savings. Appl Therm Eng 2019;150:1273–96. https://doi.org/10.1016/j.applthermaleng.2019.01.073.Search in Google Scholar
19. Vibhute, MM, Jogwar, SS. Optimal operation and tracking control of vapor‐recompressed batch distillation. AIChE J 2020;66:e17049. https://doi.org/10.1002/aic.17049.Search in Google Scholar
20. Nair, RR, Raykar, A. Performance investigation of vapour recompressed batch distillation for separating ternary wide boiling constituents. Resource Efficient Technol 2017;3:452–8. https://doi.org/10.1016/j.reffit.2017.04.007.Search in Google Scholar
21. Radhika, G, Burolia, AK, Raja, PK, Ambati, SR, Patle, DS, Gara, UB. Energy saving in batch distillation for separation of ternary zeotropic mixture integrated with vapor recompression scheme: dynamics and control. Chem Prod Process Model 2020;16:101–15. https://doi.org/10.1515/cppm-2020-0045.Search in Google Scholar
22. Chew, JM, Reddy, CC, Rangaiah, GP. Improving energy efficiency of dividing-wall columns using heat pumps, Organic Rankine Cycle and Kalina Cycle. Chem Eng Process Process Intensification 2014;76:45–59. https://doi.org/10.1016/j.cep.2013.11.011.Search in Google Scholar
23. Douglas, JM. Conceptual design of chemical processes. New York: McGraw-Hill; 1988.Search in Google Scholar
24. Gadalla, MA, Olujic, Z, Jansens, PJ, Jobson, M, Smith, R. Reducing CO2 emissions and energy consumption of heat-integrated distillation systems. Environ Sci Technol 2005;39:6860–70. https://doi.org/10.1021/es049795q.Search in Google Scholar PubMed
25. Jana, AK. Chemical process modelling and computer simulation. PHI Learning Pvt. Ltd.; 2018.Search in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Nonlinear autoregressive-moving average-L2 (NARMA-L2) controller for multivariable ball mill plant
- An enhanced feedback-feedforward control scheme for process industries
- Appling the computational fluid dynamics studies of the thermogravitational column for N2-CO2 and He-Ar gas mixtures separation
- An enhancement in series cascade control for non-minimum phase system
- Modelling and simulation of industrial multistage flash desalination process with exergetic and thermodynamic analysis. A case study of Azzour seawater desalination plant
- Development of a CFD-based simulation model and optimization of thermal diffusion column: application on noble gas separation
- A machine-learning reduced kinetic model for H2S thermal conversion process
- Design strategies for oxy-combustion power plant captured CO2 purification
- Energy-saving investigation of vacuum reactive distillation for the production of ethyl acetate
- Reducing total annual cost and CO2 emissions in batch distillation for separating ternary wide boiling mixtures using vapor recompression heat pump
Articles in the same Issue
- Frontmatter
- Research Articles
- Nonlinear autoregressive-moving average-L2 (NARMA-L2) controller for multivariable ball mill plant
- An enhanced feedback-feedforward control scheme for process industries
- Appling the computational fluid dynamics studies of the thermogravitational column for N2-CO2 and He-Ar gas mixtures separation
- An enhancement in series cascade control for non-minimum phase system
- Modelling and simulation of industrial multistage flash desalination process with exergetic and thermodynamic analysis. A case study of Azzour seawater desalination plant
- Development of a CFD-based simulation model and optimization of thermal diffusion column: application on noble gas separation
- A machine-learning reduced kinetic model for H2S thermal conversion process
- Design strategies for oxy-combustion power plant captured CO2 purification
- Energy-saving investigation of vacuum reactive distillation for the production of ethyl acetate
- Reducing total annual cost and CO2 emissions in batch distillation for separating ternary wide boiling mixtures using vapor recompression heat pump
