Steady-state modeling of coal boilers

被引：1
作者：
Lee, WU [1 ]
Yeo, YK [1 ]
机构：
[1] Hanyang Univ, Dept Chem Engn, Sungdong Ku, Seoul 133791, South Korea
来源：
KOREAN JOURNAL OF CHEMICAL ENGINEERING | 2003年 / 20卷 / 03期
关键词：
coal boiler; steady-state modeling; neural network model; parametric efficiency model;
D O I：
10.1007/BF02705543
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Coal boilers are widely used to generate process steam. Because of the highly nonlinear dynamics, coal boilers have not attracted the attention of many researchers. In the present study, two modeling approaches were investigated: parametric efficiency modeling and neural network modeling. Results of simulations compared with operation data demonstrate the effectiveness of the proposed modeling approaches.
引用
收藏
页码：436 / 439
页数：4
相关论文
共 29 条
  • [11] Steady-State Modeling of a Dual-Active Bridge AC-DC Converter Considering Circuit Nonidealities and Intracycle Transient Effects
    Singh, Akshay
    Yadav, Apurv Kumar
    Khaligh, Alireza
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (10) : 11276 - 11287
  • [12] Autothermal Reforming of Ethanol for Hydrogen Production: Steady State Modeling
    Wutthithanyawat, Chananchai
    Srisiriwat, Nawadee
    AUTOMATIC CONTROL AND MECHATRONIC ENGINEERING II, 2013, 415 : 651 - +
  • [13] Improved Frequency-Domain Steady-State Modeling of the Dual-Active-Bridge Converter Considering Finite ZVS Transition Time Effects
    D'Antonio, Michael
    Chakraborty, Shiladri
    Khaligh, Alireza
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (07) : 7880 - 7891
  • [14] Steady-State Methodology for Activated Sludge Model 1 (ASM1) State Variable Calculation in MBR
    Lahdhiri, Ameni
    Lesage, Geoffroy
    Hannachi, Ahmed
    Heran, Marc
    WATER, 2020, 12 (11) : 1 - 13
  • [15] Broadly-Applicable Accurate Analytical Steady-State Model for Class-E Inverters
    Hou, Yuetao
    Daryaei, Mohammad
    Khajehoddin, Ali
    Afridi, Khurram
    2021 IEEE 22ND WORKSHOP ON CONTROL AND MODELLING OF POWER ELECTRONICS (COMPEL), 2021,
  • [16] Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System
    Yu, Kefan
    Zhuo, Fang
    Wang, Feng
    Zhu, Tianhua
    Gou, Yating
    IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2022, 12 (01) : 205 - 219
  • [17] Fischer-Tropsch synthesis with Co/SiO2-Al2O3 catalyst and steady-state modeling using artificial neural networks
    Sharma, BK
    Sharma, MP
    Roy, SK
    Kumar, S
    Tendulkar, SB
    Tambe, SS
    Kulkarni, BD
    FUEL, 1998, 77 (15) : 1763 - 1768
  • [18] Solid Oxide Fuel Cell and Steam Reformer System Steady State Modeling
    Srisiriwat, Nawadee
    Wutthithanyawat, Chananchai
    ADVANCED RESEARCH IN MATERIAL SCIENCE AND MECHANICAL ENGINEERING, PTS 1 AND 2, 2014, 446-447 : 790 - +
  • [19] Steady-State Modeling and Simulation of a 1-DOF Dual-Input and Dual-Output Planetary Speed Increaser for Counter-Rotating Wind Turbines
    Neagoe, Mircea
    Saulescu, Radu
    Jaliu, Codruta
    Cretescu, Nadia
    PROCEEDINGS OF THE 2022 USCTOMM SYMPOSIUM ON MECHANICAL SYSTEMS AND ROBOTICS, 2022, 118 : 20 - 31
  • [20] Efficiency of an accelerated Hybrid method for steady-state spatially resolved reflectance simulations in multilayered tissue-like media
    Mansour, C.
    Galbrun, E.
    Blondel, W. C. P. M.
    MEDICAL LASER APPLICATIONS AND LASER-TISSUE INTERACTIONS V, 2011, 8092
123