Simulation and optimization of cryogenic air separation units using a homotopy-based backtracking method

A novel cryogenic air separation process based on self-heat recuperation

“…To produce liquid nitrogen during cryogenic distillation, a two-column separation process, consisting of low and high pressure columns, has been developed and is widely used. By combining the condenser of the high pressure column with the reboiler of the low pressure column, the latent heat of vaporization of air can be exchanged with the condensation heat of pure nitrogen in the two-column separation process [3][4][5][6][7][8]. Thus, not only is nitrogen liquefied in the process but also the energy consumption of the process can be decreased by heat exchange.…”

Spatio-temporal decomposition: a knowledge-based initialization strategy for parallel parking motion optimization

“…Comparative NLP-solving processes are conducted using spatio-temporal decomposition strategy and its competitors, namely, a homotopy-based backtracking method (HBM) [26] and an incremental strategy [27]. Experimental results are listed in Table 4.…”

“…However, the corresponding NLP problems are NP-hard and have hindered a vast of research efforts in robotics [18]. A near-feasible initial guess is widely known to facilitate an NLP-solving process [22][23][24][25][26]. Herein, an initial guess refers to a guessed solution from which an optimization process starts.…”

Equation-oriented Modeling of Multi-stream Heat Exchanger in Air Separation Units

“…It has been widely used in cryogenic systems to recover the huge amount of cold energy at very small temperature approach such as 1-3 K (Hasan et al, 2009). Therefore, the performance of the MHEXs plays an important role in the control and optimization of load change process of an ASU (Zhu et al, 2009;Xu et al, 2011). It is necessary to establish a robust and efficient MHEX model under various operation points.…”