Performance analysis and operation strategy optimization of mechanical vapor recompression system
In order to reduce energy consumption,an optimization study was conducted on the mechanical vapor recompression system(MVR).A steady-state model of LiBr solution regeneration in the MVR system was established using Matlab software.By changing parameters such as evaporation pressure,flow rate,and compression ratio,the influence of different parameters on the unit mass energy consumption(SEC)of the system was analyzed.The results indicate that the heat transfer of the evaporator is the decisive factor affecting the SEC of the system.Using an improved genetic algorithm,determine the minimum SEC under the corresponding operating conditions.At an evaporation rate of 3 kg/s,SEC decreased by 36%.
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