Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Investigation on dynamic mathematical model and control method of flue gas heat exchange system
by
Song, Xingpeng
, Wang, Shengxun
, Xie, Yue
, Liu, Yu
, Ma, Hongqiang
, Luo, Xinmei
in
Acids
/ Algorithms
/ Cascade control
/ Control methods
/ Control systems
/ Controllers
/ Corrosion
/ Dew
/ Differentiation
/ Dynamic characteristics
/ Fitness
/ Flue gas
/ Heat exchange
/ Heat exchangers
/ Heat recovery systems
/ Heat transfer
/ Load
/ Mathematical models
/ Optimization algorithms
/ Particle swarm optimization
/ Performance evaluation
/ Proportional integral derivative
/ Waste heat recovery
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Investigation on dynamic mathematical model and control method of flue gas heat exchange system
by
Song, Xingpeng
, Wang, Shengxun
, Xie, Yue
, Liu, Yu
, Ma, Hongqiang
, Luo, Xinmei
in
Acids
/ Algorithms
/ Cascade control
/ Control methods
/ Control systems
/ Controllers
/ Corrosion
/ Dew
/ Differentiation
/ Dynamic characteristics
/ Fitness
/ Flue gas
/ Heat exchange
/ Heat exchangers
/ Heat recovery systems
/ Heat transfer
/ Load
/ Mathematical models
/ Optimization algorithms
/ Particle swarm optimization
/ Performance evaluation
/ Proportional integral derivative
/ Waste heat recovery
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Investigation on dynamic mathematical model and control method of flue gas heat exchange system
by
Song, Xingpeng
, Wang, Shengxun
, Xie, Yue
, Liu, Yu
, Ma, Hongqiang
, Luo, Xinmei
in
Acids
/ Algorithms
/ Cascade control
/ Control methods
/ Control systems
/ Controllers
/ Corrosion
/ Dew
/ Differentiation
/ Dynamic characteristics
/ Fitness
/ Flue gas
/ Heat exchange
/ Heat exchangers
/ Heat recovery systems
/ Heat transfer
/ Load
/ Mathematical models
/ Optimization algorithms
/ Particle swarm optimization
/ Performance evaluation
/ Proportional integral derivative
/ Waste heat recovery
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Investigation on dynamic mathematical model and control method of flue gas heat exchange system
Journal Article
Investigation on dynamic mathematical model and control method of flue gas heat exchange system
2023
Request Book From Autostore
and Choose the Collection Method
Overview
PurposeThe purpose of this paper is to recover the waste heat of flue gas heat exchanger (FGHE) as efficiently as possible and avoid the acid dew corrosion of that.Design/methodology/approachA novel flue gas waste heat recovery system was proposed in the paper. The dynamic mathematical models of key equipment in that were established based on theory and experiment method. The proportion integration differentiation-differentiation (PID-P) cascade control method based on particle swarm optimization algorithm was used to control the outlet temperature of FGHE. The dynamic characteristics of the flue gas heat exchange system were simulated by the particle swarm optimization algorithm with different fitness functions.FindingsThe PID-P temperature controller parameters can be quickly and effectively obtained by the particle swarm optimization algorithm based on the fitness function of integral time absolute error (ITAE). The overshoot, rise time and adjusting time of the novel system are 2, 83 and 105s, respectively. Compared with the traditional two-step tuning (T-ST) method, the novel system is better in dynamic and steady-state performance. The overshoot and the adjustment time of the system are reduced by 44% and 328s, respectively. ITAE is a performance evaluation index for control system with good engineering practicability and selectivity.Originality/valueThe dynamic mathematical model of key equipment in the new flue gas waste heat recovery system is established and the system's control strategies and methods are explored.
Publisher
Emerald Publishing Limited,Emerald Group Publishing Limited
Subject
This website uses cookies to ensure you get the best experience on our website.