A new optimization method of energy consumption for dynamic boil-off gas
At present, research on the refrigerant ratio optimization based on the
dynamic boil-off gas (BOG) is limited. Therefore, a new method of
dynamic optimization for C3MR liquefaction is presented. Firstly, the
simulation program is established based on the steady state model for
main liquefaction equipment. Besides, the rules of energy consumption
under the range of BOG generation for propane compressor and mixed
refrigerant compressor is obtained, and a multi-objective optimization
model, which has minimum energy consumption and high heat efficiency, is
constructed. Afterwards, the genetic algorithm (GA) and particle swarm
optimization (PSO) are designed to determine the optimal results.
Finally, the energy efficiency of dynamic BOG is obviously higher than
that of steady condition. And compared with the initial simulation
process, the maximum energy saving is 50.60%. This study would provide
a theoretical basis for the dynamic liquefaction process control and
dynamic liquefaction system optimization.