作者: Om Prakash Verma , Gaurav Manik , Sushant Kumar Sethi
DOI: 10.1016/J.RSER.2018.10.002
关键词: Renewable energy 、 Efficient energy use 、 Energy consumption 、 Multiple-effect evaporator 、 Biochemical engineering 、 Process control 、 Computer science 、 Troubleshooting 、 Intelligent control 、 Process (engineering)
摘要: Abstract Increasing energy demand, high cost and global warming issues require energy-intensive industries to make sincere efforts improve efficiency. The consumption data available for different suggests that pulp paper industry accounts a significant share. Amongst various procedures paper, Kraft recovery process is majorly employed yields weak but lignin-rich black liquor as byproduct. Black one of the emerging biomass resources with strong potential be used biofuel generating steam/energy operate units, thereby, ensuring self-sufficiency sustainability. A Multi-Stage Evaporator (MSE) needed concentrate it suffers from being most consuming unit among all. This piques our interest explore reducing schemes or configurations previously MSE report previous research endeavors in area steady–state, dynamic modeling simulation such processes. It noted steady-state transient behavior analysis together an efficient controller design may significantly contribute eliminating troubleshooting problems ensure both savings product quality. article highlights effective solutions developed models, due their non-linear complex nature, are highly dependent on nature algorithm employed. Attempts control techniques enable eliminate uncertainties have suffered limitations not only inherent inefficiency also insufficient underlying knowledge inappropriate system transience. With this perspective mind, advanced intelligent influence process/energy transience optimization been reviewed. Here, we propose very essential maintain sufficient prudence selecting appropriate simulation, sustainable production.