Air Separation Unit Air Compressor Condition Monitoring And Optimization Strategies

In the air separation equipment divide the air into the oxygen, nitrogen and other gases have been widely used in various industries, in particular, the demand for petroleum, chemical, natural gas pipelines, refrigeration and ventilation, mine and many other important sectors. As the compressor is the air separation equipment in the major energy-consuming unit, which is the key energy-saving, so in-depth research carried out air compressor systems and will carry on the reasonable feasible adjustment and the control to them, would greatly enhance the production efficiency, to achieve energy saving goals.The issue of China's CNPC Jilin Petrochemical Company fertilizer plant air separation plant air separation plant on the 6th as the research object, only air separation plant air compressor in this part of the energy-saving to be researched. The parameters of air compressor carry on the data acquisition and then the system model to be established. According to the air compressor surge problem arise, the relationship between energy consumption, select the optimal strategy, optimization of the system to achieve energy conservation goals.The subjects from both the hardware and software data acquisition system on the air compressor was analyzed using NI's PCI-MIO-16E-1 data acquisition card to build the hardware experimental platform. Features a powerful Matlab as the core of the air compressor to control the data acquisition system. Application of this system in the Matlab Real-time workplace xPCTarget development platform, using master-slave institutions, to build real-time data acquisition system, completed a master-slave connection and communication between the settings, real-time simulation environment settings. So that hardware and software combined with each other to coordinate work, and using data acquisition card to provide experimental data for Matlab. A systematic analysis of a variety of commonly used modeling methods, and reference to the past performance of these methods applied to air compressor modeling results, by comparing the least-squares method, the data fusion algorithm, BP algorithm characteristics and construction model results, the final selection of the RBF neural network performance of the network model of air compressor. The safe operation of air compressor is to achieve high efficiency and energy conservation an important prerequisite. How to avoid compressor surge phenomenon occurs also become optimized air compressor systems, one of the key technologies to achieve energy-saving. On the prevention of surge flow regulation commonly used, this adjustment process during the anti-surge flow volatility arising from interference by pressure regulator that is guide vane opening to stabilize the pressure. Through flow regulation and pressure regulator together to prevent the occurrence of surge. Optimization of the system can make to maximize energy efficiency. In the air compressor system, this increase by reducing the inhalation resistance to suction pressure, lower air inlet temperature, and open large guide vane valve three tests to verify the energy-saving benefits.This enables air compressor for air separation plant in the energy-saving, not only will bring about good economic enterprises, but also with the development of the industry given certain referential significance.