چكيده به لاتين
Distillation is the most important and widely used separation process in the chemical industries. Thermodynamic approach in separation processes can decrease the problems of these processes including the high cost of consumed energy, thermodynamic inefficiency of the system and environmental degradations.
In the current research a matrix-based method is presented in order to generate the search space of HIDiC and multi-effect sequences. The proposed separation matrix in this work, is another statement of state task network. The current separation matrix is an extended version of Khalili’s matrix which included heat integration patterns of thermally-coupled, intensified, heat and mass-integrated and divided-wall columns. Embedding these two configurations in the separation matrix, now it can generate all the conventional and heat integration distillation sequences for separation of a specified feed, which allows for obtaining a complete search space that increases the possibility of achieving the optimal sequence. Furthermore, the presented matrix has no limitation in terms of the number of components in the feed.
The sequences obtained using the developed separation matrix in this research are simulated in Aspen Hysys 8.6 for three different ternary mixtures with two different composition for each mixture. The obtained results suggest that when ESI~1 and the mole fraction of the middle component is more than two others, HIDiC and Multi-effect sequences have better performance than the conventional sequences.
Keywords: Process synthesis, Distillation column sequence, Separation Matrix, HIDiC sequence, Multi-effect sequence
