Research Article
Cluster-Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants
Table 1
Input and output variables of the DNN surrogate model.
| | Type | Variable | Description | Unit |
| | Input variable | | NG feed (F) | (kg/h) | | NG fuel (F) | (kg/h) | | H2 cylinder (F) | (NLPH) | | Water (F) | (kg/h) | | Air (F) | (kg/h) | | PSA recovery | (%) | | System (P) | (barg) | | Off-gas (P) | (barg) | | SMR inlet (T) | (°C) | | SMR outlet (T) | (°C) | | HDS inlet (T) | (°C) | | LTS inlet (T) | (°C) | | Water (T) | (°C) | | Steam (T) | (°C) | | Flue gas (T) | (°C) |
| | Output variable | | Reformate (F) | (Nm3/h) | | H2 fraction | (%) | | HDS outlet (T) | (°C) | | Mixed feed (T) | (°C) | | LTS outlet (T) | (°C) | | SMR reactor (T) | (°C) | | Reformate (T) | (°C) | | Air (T) | (°C) | | Flue gas (F) | (kmol/h) | | CO fraction | (%) | | CO2 fraction | (%) | | H2 fraction | (%) | | H2O fraction | (%) | | N2 fraction | (%) | | O2 fraction | (%) |
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