Ionic liquids (ILs) have been experimentally
proved to be effective
for ammonia-containing gas separation and recovery. A systematic strategy
including thermodynamic models, process simulation, multiobjective
genetic algorithm, and assessment for novel IL-based separation of
ammonia-containing tail gas and ammonia recovery process was proposed.
The conventional IL ([C4Mim][NTf2]) and the
functional IL ([C4im][NTf2]) were selected,
and their NH3 removal performance was investigated. Physical
properties of models of IL systems were established with temperature-dependent
equations, and gas–liquid phase equilibria of the NH3-IL system were molded with the nonrandom two liquid model equation.
Total purification cost (TPC), total process CO2 emission
(TPCOE), and thermodynamic efficiency (ηeff) were
selected as the objective functions to be optimized. Process simulation
results indicated that under same operational parameters, using functional
ILs results in lower NH3 concentration in purified gas
and higher removal efficiency than that of conventional ILs. After
optimization, a series of solutions satisfying the constraints was
provided by the Pareto front. The lowest objective functions can achieve
0.0211 $/N m3 (TPC), 265.67 kg CO2/h (TPCOE),
and 48.05% (ηeff). Moreover, using functional ILs
could greatly decrease purification cost and energy consumption and
avoid wastewater discharge, which is an inevitable environmental problem
in the water scrubbing process.