Performance optimization of multiple stage evaporator using interior-point method and metaheuristic approaches in environment of real-time plant complexities

References

• Abd-Elhady, M. S., M. R. Malayeri, and H. Müller-Steinhagen. 2011. Fouling problems in exhaust gas recirculation coolers in the automotive industry. Heat Transfer Engineering 32 (3–4):248–57. doi:10.1080/01457632.2010.495612.
   Web of Science ®Google Scholar
• Albuquerque, J. S., V. Gopal, G. H. Staus, L. T. Biegler, and B. E. Ydstie. 1997. Interior point SQP strategies for structured process optimization problems. Computers & Chemical Engineering 21 (1–2):S853–S859. doi:10.1016/s0098-1354(97)87609-0.
   Google Scholar
• Anupam, Y. 2019. AEFA: Artificial electric field algorithm for global optimization. Swarm and Evolutionary Computation 48:93–108. doi:10.1016/j.swevo.2019.03.013.
   Web of Science ®Google Scholar
• Bhargava, R., S. Khanam, B. Mohanty, and A. K. Ray. 2008. Mathematical model for a multiple effect evaporator system with condensate-, feed- And product- flash and steam splitting. Indian Journal of Chemical Technology (IJCT) 15:118–29.
   Web of Science ®Google Scholar
• Bhargava, R., S. Khanam, B. Mohanty, and A. K. Ray. 2008a. Simulation of flat falling film evaporator system for concentration of black liquor. Computers & Chemical Engineering 32 (12):3213–23. doi:10.1016/j.compchemeng.2008.05.012.
   Web of Science ®Google Scholar
• Bhargava, R., S. Khanam, B. Mohanty, and A. K. Ray. 2008b. Selection of optimal feed flow sequence for a multiple effect evaporator system. Computers & Chemical Engineering 32:2203–16. doi:10.1016/j.compchemeng.2007.10.012.
   Web of Science ®Google Scholar
• Clay, D. T., 2016. Evaporation principles & black liquor properties ~ 3000 lb of black liquor solids per ton of air - dried unbleached pulp evaporation required to burn liquor • weak BL from washers 1–15.
   Google Scholar
• Diel, C. L., R. L. S. Canevesi, D. A. Zempulski, J. A. Awadallak, C. E. Borba, F. Palú, and E. A. Silva. 2016. Optimization of multiple-effect evaporation in the pulp and paper industry using response surface methodology. Applied Thermal Engineering 95:18–23. doi:10.1016/j.applthermaleng.2015.10.136.
   Web of Science ®Google Scholar
• Ferreira, A., A. Egas, A. Domingues, C. Fernandes, and L. Lobo. 2011. Vapor pressure and boiling point elevation of Eucalyptus Kraft Black liquors. Silva Lusit 19:13–22.
   Google Scholar
• Gautami, G., and S. Khanam. 2012. Selection of optimum configuration for multiple effect evaporator system. Desalination 288:16–23. doi:10.1016/j.desal.2011.12.005.
   Web of Science ®Google Scholar
• Gourdon, M. 2000. the effects of flow velocity on crystallization fouling in falling film black liquor evaporators. Methods 2011:111–18.
   Google Scholar
• Hei, L., J. Nocedal, and R. A. Waltz, n.d. A numerical study of active-set and interior-point methods for bound constrained optimization.
   Google Scholar
• Higa, M., A. J. Freitas, A. C. Bannwart, and R. J. Zemp. 2009. Thermal integration of multiple effect evaporator in sugar plant. Applied Thermal Engineering 29 (2–3):515–22. doi:10.1016/j.applthermaleng.2008.03.009.
   Web of Science ®Google Scholar
• IEA Bioenergy Summary and Conclusions from the IEA Bioenergy ExCo54 Workshop, 2007. https://www.ieabioenergy.com/blog/publications/exco54-workshop-black-liquor-gasification-summary-and-conclusions
   Google Scholar
• Kaya, D., and H. Ibrahim Sarac. 2007. Mathematical modeling of multiple-effect evaporators and energy economy. Energy 32 (8):1536–42. doi:10.1016/j.energy.2006.09.002.
   Web of Science ®Google Scholar
• Kennedy, J., and R. Eberhart, gov, bls, n.d. Particle Swarm Optimization.
   Google Scholar
• Khanam, S., and B. Mohanty. 2010. Energy reduction schemes for multiple effect evaporator systems. Applied Energy 87 (4):1102–11. doi:10.1016/j.apenergy.2009.05.003.
   Web of Science ®Google Scholar
• Kojima, M., N. Megiddo, and S. Mizuno. 1993. A primal-dual infeasible-interior-point algorithm for linear programming. Mathematical Programming 61 (1–3):263–80. doi:10.1007/BF01582151.
   Web of Science ®Google Scholar
• Kumar Asthana, A., Acharya, R., Jain, N., Sharma, P., Kumar, R., Venkatagiri, K.S., Kiran Ananth, P. V, Muralikrishnan, K., B, BM, 2018. Improving Energy Efficiency in Pulp & Paper Sector (Achievements and Way Forward). https://www.keralaenergy.gov.in/files/Resources/Pulp__Paper_Sector_Report.pdf
   Google Scholar
• Kumar, D., V. Kumar, and V. P. Singh. 2013. Modeling and dynamic simulation of mixed feed multi-effect evaporators in paper industry. Applied Mathematical Modelling 37 (1–2):384–97. doi:10.1016/j.apm.2012.02.039.
   Web of Science ®Google Scholar
• Lambert, R. N., D. D. Joye, and F. W. Koko. 1987. Design calculations for multiple-effect evaporators. 1. Linear method. Industrial and Engineering Chemistry Research 26 (1):100–04. doi:10.1021/ie00061a019.
   Web of Science ®Google Scholar
• Müller-Steinhagen, H., and C. A. Branch. 1997. Heat transfer and heat transfer fouling in Kraft black liquor evaporators. Experimental Thermal and Fluid Science 14 (4):425–37. doi:10.1016/S0894-1777(96)00143-4.
   Web of Science ®Google Scholar
• Olsson, M. R., 2009. Simulations of evaporation plants in Kraft Pulp Mills including lignin extraction and use of excess heat.
   Google Scholar
• Pandey, A. K., and R. Prakash, 2018. Energy conservation opportunities in pulp & paper industry. Open J. Energy Effic. 07, 89–99. 10.4236/ojee.2018.74006
   Google Scholar
• Pati, S., D. Yadav, and O. P. Verma. 2020. Synergetic fusion of energy optimization and waste heat reutilization using nature-inspired algorithms: A case study of Kraft recovery process. Neural Computing & Applications. doi:10.1007/s00521-020-04828-4.
   Web of Science ®Google Scholar
• Ray, A. K., N. J. Rao, M. C. Bansal, and B. Mohanty, 1992. Design data and correlations of waste liquor/black liquor from pulp mills.
   Google Scholar
• Ribeiro, C. P., and M. H. Caño Andrade. 2002. A heat transfer model for the steady-state simulation of climbing-falling-film plate evaporators. Journal of Food Engineering 54 (4):309–20. doi:10.1016/S0260-8774(01)00217-5.
   Web of Science ®Google Scholar
• Ruan, Q., H. Jiang, M. Nian, and Z. Yan. 2015. Mathematical modeling and simulation of countercurrent multiple effect evaporation for fruit juice concentration. Journal of Food Engineering 146:243–51. doi:10.1016/j.jfoodeng.2014.09.015.
   Web of Science ®Google Scholar
• Sagharichiha, M., A. Jafarian, M. Asgari, and R. Kouhikamali. 2014a. Simulation of a forward feed multiple effect desalination plant with vertical tube evaporators. Chemical Engineering and Processing: Process Intensification 75:110–18. doi:10.1016/j.cep.2013.11.008.
   Web of Science ®Google Scholar
• Sagharichiha, M., A. Jafarian, M. Asgari, and R. Kouhikamali. 2014b. Simulation of a forward feed multiple effect desalination plant with vertical tube evaporators. Chemical Engineering and Processing: Process Intensification 75:110–18. doi:10.1016/j.cep.2013.11.008.
   Web of Science ®Google Scholar
• Sharan, P., and S. Bandyopadhyay. 2016a. Integration of thermo-vapor compressor with multiple-effect evaporator. Applied Energy 184:560–73. doi:10.1016/j.apenergy.2016.10.037.
   Web of Science ®Google Scholar
• Sharan, P., and S. Bandyopadhyay. 2016b. Energy Integration of multiple effect evaporators with background process and appropriate temperature selection. Industrial and Engineering Chemistry Research 55 (6):1630–41. doi:10.1021/acs.iecr.5b03516.
   Web of Science ®Google Scholar
• Tuan, C.-I., Y.-L. Yeh, L.-F. Hsu, and T.-C. Chen. 2012. The pinch technology combined with a heat pump applied in a three-effect evaporator and energy-saving performance assessment. Korean Journal of Chemical Engineering 29 (3):341–48. doi:10.1007/s11814-011-0173-7.
   Web of Science ®Google Scholar
• Verma, O. P., T. H. Mohammed, S. Mangal, and G. Manik. 2016b. Mathematical modeling of multistage evaporator system in kraft recovery process. In Proceedings of fifth international conference on soft computing for problem solving: SocProS 2015, volume 2, ed.. M. Pant, K. Deep, J. C. Bansal, A. Nagar, and K. N. Das, 1011–42. Singapore: Springer. doi:10.1007/978-981-10-0451-3_87.
   Google Scholar
• Verma, O. P. 2017b. Solution of SNLAE model of backward feed multiple effect evaporator system using genetic algorithm approach. International Journal of System Assurance Engineering and Management 8 (1):63–78. doi:10.1007/s13198-016-0533-0.
   Web of Science ®Google Scholar
• Verma, O. P., G. Manik, and S. K. Sethi. 2019. A comprehensive review of renewable energy source on energy optimization of black liquor in MSE using steady and dynamic state modeling, simulation and control. Renewable and Sustainable Energy Review 100:90–109. doi:10.1016/j.rser.2018.10.002.
   Web of Science ®Google Scholar
• Verma, O. P., G. Manik, V. K. Jain, D. K. Jain, and H. Wang. 2018. Minimization of energy consumption in multiple stage evaporator using Genetic Algorithm. Sustainable Computing: Informatics and Systems 20:130–40. doi:10.1016/j.suscom.2017.11.005.
   Google Scholar
• Verma, O. P., T. H. Mohammed, S. Mangal, and G. Manik. 2016a. Optimization of steam economy and consumption of heptad’s effect evaporator system in Kraft recovery process. Nternational Journal of System Assurance Engineering and Management 1–20. doi:10.1007/s13198-016-0488-1.
   Google Scholar
• Verma, O. P., T. H. Mohammed, S. Mangal, and G. Manik. 2017a. Minimization of energy consumption in multi-stage evaporator system of Kraft recovery process using Interior-Point Method. Energy 129:148–57. doi:10.1016/j.energy.2017.04.093.
   Web of Science ®Google Scholar
• Yadav, D., and O. P. Verma. 2020. Energy optimization of multiple stage evaporator system using water cycle algorithm. Heliyon 6 (7):e04349. doi:10.1016/j.heliyon.2020.e04349.
   PubMed Web of Science ®Google Scholar
• Yang, J., J. Jiang, N. Zhang, M. Wei, and J. Zhao. 2017. Resource utilization of wasted black pulping liquor for biodiesel production by Scenedesmus obliquus. International Journal of Green Energy 14 (1):92–96. doi:10.1080/15435075.2014.968923.
   Web of Science ®Google Scholar