Industrial Boiler Manufactory

Modeling and Optimizing Boiler Design using Neural Network

  • using artificial neural network model and information analysisq

    Constrained optimization of combustion in a simulated coal-fired boiler using artificial neural network model and information analysisq Ji-Zheng Chua, Shyan-Shu Shiehb, Shi-Shang Jangc,*, Chuan-I Chienc, Hou-Peng Wand, Hsu-Hsun Kod aDepartment of Automation, Beijing University of Chemical Technology, Beijing, People's Republic of China

    GET A QUOTE
  • (749c) Dynamic Real-Time Optimization of a Coal-Fired Power Plant Using an Artificial Neural Network Model …

    Using an Artificial Neural Network Model Load demand on fossil fuel power plants is more variable today than ever before. of Combustion in a Simulated Coal-Fired Boiler Using Artificial Neural Network Model and Information Analysis," Fuel, 82, (6), pp. 693 [5]

    GET A QUOTE
  • Modeling and coordinative optimization of NO x emission and …

    2008/1/16 · An empirical model to predict the boiler efficiency and pollutant emissions was developed with artificial neural networks based on the experimental data on a 360 MW W-flame coal fired boiler. The temperature of the furnace was selected as an intermediate variable in the hybrid model so that the predictive precision of NO x emissions was enhanced. The predictive …

    GET A QUOTE
  • Improving the performance of industrial boiler using artificial neural network modeling and advanced combustion …

    Improving the performance of industrial boiler using artificial neural network modeling and advanced combustion control Nazaruddin, Y.Y., Aziz, A.N., Sudibjo, W. Details Contributors Bibliography Quotations Similar Collections Source 2008 International

    GET A QUOTE
  • Modeling and Optimizing Boiler Design using Neural Network and …

    2017/5/11 · The neural network scheme has been proved for the boiler design, and it provides a framework for the non-linear system models. In this paper, a hybrid of artificial neural network and firefly algorithm is proposed. The proposed modeling technique is simulated in MATLAB, and the experimentation is carried out extensively.

    GET A QUOTE
  • Optimization and Simulation of Boiler Water Level Control Based on the Fuzzy Neural Network

    Optimization and Simulation of Boiler Water Level Control Based on the Fuzzy Neural Network Zhimin Yu 1*, Long Cheng2, Zhenyong Hao 3 and Renzhong Wang 4 1Tianjin maritime college. 300350 .China 2Tianjin Maritime Safety Administration .300351.China 3China Oilfield Services Limited 300351.China

    GET A QUOTE
  • Optimization and Simulation of Boiler Water Level Control Based …

    Optimization and Simulation of Boiler Water Level Control Based on the Fuzzy Neural Network Zhimin Yu 1*, Long Cheng2, Zhenyong Hao 3 and Renzhong Wang 4 1Tianjin maritime college. 300350 .China 2Tianjin Maritime Safety Administration .300351.China 3China Oilfield Services Limited 300351.China

    GET A QUOTE
  • Intelligent Modified Predictive Optimal Control of Reheater Steam Temperature in a Large-Scale Boiler …

    Predictive Optimal Control (MPOC) scheme based on neural network modeling and particle swarm optimization (PSO) techniques for Reheater Steam Temperature (RST) control of a large-scale boiler unit [4]. A recurrent neural network is trained to directly model

    GET A QUOTE
  • Modeling and Optimization of Efficiency and NOx Emission at a Coal-Fired Utility Boiler

    modeling the carbon burnout behavior in a pulverized coal fired boiler and optimizing boiler optimization procedure using artificial neural networks …

    GET A QUOTE
  • (749c) Dynamic Real-Time Optimization of a Coal-Fired Power Plant Using an Artificial Neural Network Model …

    Using an Artificial Neural Network Model Load demand on fossil fuel power plants is more variable today than ever before. of Combustion in a Simulated Coal-Fired Boiler Using Artificial Neural Network Model and Information Analysis," Fuel, 82, (6), pp. 693 [5]

    GET A QUOTE
  • Sangram Bhagwanrao Savargave & Madhukar Jagannath Lengare, …

    Modeling and Optimizing Boiler Design using Neural Network and Firefly Algorithm Sangram Bhagwanrao Savargave & Madhukar Jagannath Lengare Journal of …

    GET A QUOTE
  • Modeling and coordinative optimization of NO x emission and efficiency of utility boilers with neural network…

    2008/1/16 · An empirical model to predict the boiler efficiency and pollutant emissions was developed with artificial neural networks based on the experimental data on a 360 MW W-flame coal fired boiler. The temperature of the furnace was selected as an intermediate variable in the hybrid model so that the predictive precision of NO x emissions was enhanced. The predictive …

    GET A QUOTE
  • Multi-Objective Optimization of Recovery Boiler Dimensions Using Computational Fluid …

    model with a genetic algorithm optimizer and a radial basis function network learner. The tool was applied to optimizing a furnace geometry of a recovery boiler using two approaches: an uncoupled method and a coupled method. Before solving the optimization

    GET A QUOTE
  • [PDF] Controller Design for a 1000 MW Ultra Super Critical Once-through Boiler Power …

    A large-scale 1000 MW once-through type ultra super-critical boiler power plant, requires investigation for the development of an analyzable model for use in the development of an intelligent control system. Using data from the power plant, a model is realized using dynamically recurrent neural networks. For proper operation, the plant must be broken into smaller …

    GET A QUOTE
  • Modified Predictive Optimal Control Using Neural Network-Based …

    as a means to design a control system for a new power plant. Predictive Control (GPC). The GPC algorithm uses closed-Index Terms-- Once-through type boiler, super-critical boiler, neural networks, modeling, modified predictive optimal control, particle swamI. I

    GET A QUOTE
  • Improving the performance of industrial boiler using artificial …

    Improving the performance of industrial boiler using artificial neural network modeling and advanced combustion control Abstract: In heat generation process, performance improvement is a critical factor and essential. An alternative solution is by designing an

    GET A QUOTE
  • Modeling and Efficiency Optimization of Steam Boilers by …

    Boiler efficiency is called to some extent of total thermal energy which can be recovered from the fuel. Boiler efficiency losses are due to four major factors: the dry gas flux, the latent heat of steam in the flue gas, the combustion loss or the loss of unburned fuel, radiation and convection losses. In this research, the thermal behavior of boilers in gas refinery facilities is studied and

    GET A QUOTE

LEAVE A MESSAGES