Integrated Intelligent Energy ›› 2024, Vol. 46 ›› Issue (3): 20-28.doi: 10.3969/j.issn.2097-0706.2024.03.003

• Intelligent & Clean Heat Supply • Previous Articles     Next Articles

Plant-level intelligent operation optimization for cogeneration units equipped with absorption heat pumps

WANG Yongxu1(), ZHOU Tianyu2, DENG Genggeng2, XU Gang2,*(), WANG Zhuo3   

  1. 1. Tongliao Power Plant of China Power Investment Mengdong Energy Company Limited, Tongliao 028011, China
    2. School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
    3. Tongliao Thermal Power Company Limited, Tongliao 028011, China
  • Received:2023-08-17 Revised:2023-09-21 Online:2024-03-25 Published:2023-08-17
  • Contact: XU Gang E-mail:nmtlwyx0@163.com;xgncepu@163.com
  • Supported by:
    National Natural Science Foundation of China(52276006)

Abstract:

To improve the overall operational economy of the power plant equipped with cogeneration units and absorption heat pumps, a coal consumption prediction mathematical model for cogeneration units is constructed based on the power plant's historical data which are then pre-processed by sliding window method to define steady-state operating conditions. There is a fitness function implemented to get the minimum total coal consumption of the cogeneration units, and particle swarm optimization algorithm is used to obtain the optimal back pressure of the air cooling unit equipped with an absorption heat pump and the optimal extraction steam flow of each cogeneration unit. Then, an intelligent optimization software for this heating system is designed based on the data above, to realize online monitoring and optimization regulation on the heating system. The optimization regulation can provide guidance for individual heating units to achieve their best economic performances and lowest coal consumptions. Simulation results indicate that the intelligent optimization can save 1.81 t standard coal per hour for the heating system of this case, showing a significant energy-saving effect.

Key words: cogeneration unit, absorption heat pump, heating-supply made by multiple units, coal consumption, particle swarm optimization, online monitoring, back pressure, optimal pumping, extraction steam

CLC Number: