Energy Storage Science and Technology ›› 2021, Vol. 10 ›› Issue (3): 1117-1126.doi: 10.19799/j.cnki.2095-4239.2021.0021

• Energy Storage System and Engineering • Previous Articles     Next Articles

Modeling and simulation of domestic fuel cell cogenerated heat and power system based on fuzzy PID control

Jing ZHANG(), Yan LU, Sheng LI, Guangcai XIE, Zhongmin WAN()   

  1. Hunan Institute of Science and Technology School of Mechanical Engineering, Yueyang 414006, Hunan, China
  • Received:2021-01-14 Revised:2021-01-25 Online:2021-05-05 Published:2021-04-30
  • Contact: Zhongmin WAN E-mail:zhangjing819@hnu.edu.cn;zhongminwan@hotmail.com

Abstract:

Domestic fuel cell cogenerated heat and power technology is a field with broad development prospects for fuel cell application technology. The proton exchange membrane fuel cell (PEMFC) consumes the chemical energy of the fuel during operation. In addition to converting part of the chemical energy into electrical energy, the rest of the chemical energy is lost in the form of heat. If this part of the heat cannot be used reasonably and effectively, it will decrease the energy utilization rate of the system and an unsafe operation of the fuel cell simultaneously. Under the premise of normal power generation, a water-cooled PEMFC cogeneration scheme was proposed to recover and utilize the heat generated during the operation of the PEMFC. The heat generated by the stack is taken out by the cooling liquid, and the high temperature cooling liquid after heat absorption is exchanged with the normal temperature tap water in the heat exchanger. The water tank is used to store hot water to realize heat recovery and utilization. Based on the Matlab/Simulink software platform, a fuel cell cogenerated heat and power system simulation model is established, which consists of a stack model, a radiator model, and a hot water storage tank model. Besides, a control strategy of the system in different working modes and a fuzzy PID controller for stack temperature control are designed. The results showed that a good dynamic response and anti-interference performance using fuzzy PID controller can be obtained. The simulation results also showed that the maximum-combined heat and power efficiency of the system within the power load range is about 83%, which meets the daily heating and electricity demand of the family and improves the energy utilization rate.

Key words: proton exchange membrane fuel cell, cogenerated heat and power, fuzzy-PID control

CLC Number: