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Improved Cuckoo Algorithm for Ethylene Industry Energy Efficiency Analysis

  

  1. (1. College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China;
     2. Engineering Research Center of Intelligent PSE, Ministry of Education , Beijing 100029, China)
  • Received:2018-05-25 Online:2019-01-30 Published:2019-01-30

Abstract: A rigorous ethylene energy consumption analysis model has been established by considering the calculation method of ethylene comprehensive energy consumption, Index Decomposition Analysis(IDA) and energy saving potential analysis method, and an improved cuckoo algorithm is proposed to identify the parameters of the model to obtain the energy-consuming energy conversion coefficient of the ethylene production. The energy efficiency of ethylene plant is evaluated by comprehensive energy consumption and energy saving based on the identified parameters. To verify the validity of the improved algorithm, the algorithm is tested on the test function. The experimental results show that the improved algorithm has better searching ability, which is better than the particle swarm optimization and cuckoo search algorithm. Finally, based on the ethylene data example, the test results show the feasibility and effectiveness of the method. It can be used as a complement to the calculation of ethylene standard energy conversion coefficient for different scales and different technologies. It provides a more practical method for analyzing the efficiency of ethylene plant.

Key words: ethylene production, index decomposition analysis, energy saving potential analysis, improved cuckoo search algorithm, energy conversion coefficient, parameter identification

CLC Number: