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  • Multi‐objective optimization of the coal combustion

    Feb 24, 2005 · The present work introduces an approach to predict the nitrogen oxides (NOx) emissions and carbon burnout characteristics of a large capacity pulverized coal‐fired boiler with an artificial neural neGet Price

  • Multi-objective Optimization of Coal-fired Boiler

    Integrating multi-objective optimization with computational fluid dynam…Get Price

  • (PDF) Multi Objective Optimization of Flexible

    Jun 17, 2019 · The boiler design and off-design thermal calculation results show that the S-CO2 boiler proposed in this paper can match well with the entire coal-fired S-CO2 Brayton cycle power generation system Get Price

  • Optimization of coal-fired boiler using neural network

    Dec 20, 2015 · It is meaningful to research the coal-fired boiler optimization simulation. The study improves the neural network by genetic algorithm, and uses it to develop a model on the basis of optimal combustion experiment data, and optimizes the combustion parameters by the genetic algorithm to guide employee to adjust the fuel, air rate to achieve the Get Price

  • Multi‐objective optimization of the coal combustion

    Feb 24, 2005 · A genetic algorithm (GA) is employed to perform a multi-objective search to determine the optimum solution of the ANN model, finding the optimal setpoints, which can suggest operators' correct actions to decrease NO x emissions and the carbon content in the flyash simultaneously, namely, get a good boiler combustion performance with high boiler Get Price

  • (PDF) A Comparative Study of Multiobjective Optimization

    In all tests, coal quality remained constant, and other Multi-objective optimization problems of the coal fired boiler parameters of the boiler varied in the following ranges: the pri- can adopt the following objective functions: mary air velocities, 24.11–29.8 m/s; secondary air velocities at the A–E elevations, 24.69–39.03 m/s and F Get Price

  • Data-driven multi-objective optimisation of coal-fired

    Multi-objective Optimization of Coal-fired Boiler Combustion Based on NSGA-II | Semantic Scholar. The optimization results showed that hybrid algorithm by combining BP neural network with NSGA-II can be a good tool to solve the problem of multi-objective optimization of a coal-fired combustion, which can reduce NOx emissions and overall heat loss effectively for thecoal …Get Price

  • Best Oil Boilers: Pros, Cons & Prices | Boiler Guide

    On average, you can expect to pay anything from £500 - £2,000 for the labour and installation of your new boiler with the total being affected by a number of factors. For more information visit our article on New Oil Boiler Replacement. In total, new replacement oil boiler prices, including installation, could cost between £2,500 - £4,500.Get Price

  • Artificial Bee Colony Optimization of NOx Emission and

    Nov 11, 2019 · Then, a multiobjective artificial bee colony (MO-ABC) algorithm is adopted to search optimal inputs of predictors that can achieve lower NOx emission and higher reheat steam temperature from Pareto front. The modelling data are from a combustion adjustment experiment conducted on a real 1000 MW coal-fired boiler.Get Price

  • Multi‐objective optimization of the coal combustion

    Optimization of coal-fired boiler SCRs based on modified Get Price

  • Optimization of Thermal Efficiency and Unburned Carbon in

    Y. Zhao et al.: Optimization of Thermal Efficiency and Unburned Carbon in Fly Ash of Coal-Fired Utility Boiler via GWO Algorithm FIGURE 1. Flowchart of the proposed ANN-GWO method. The main contributions of this paper focus on the following two aspects. GWO is applied to search the best operating parametersGet Price

  • Optimizing combustion of coal fired boilers for reducing

    Downloadable (with restrictions)! Since the mechanism of boiler combustion is extremely complicated and difficult to apply to model and optimize the combustion process directly, data-driven models attract increasingly attention from industry. This paper focuses on the application of Gaussian Process (GP) in optimizing combustion process for reducing NOx emission of a …Get Price

  • [PDF] Optimization of combustion process in coal-fired

    Abstract This paper presents methodology and results of a research project on software optimization of combustion process efficiency in coal-fired power plant. The general goal of this project was to increase boiler efficiency by proper control of the combustion process using optimization software, integrated with Distributed Control System and in-furnace temperature …Get Price

  • Data-Driven Multi-Objective Optimisation of Coal-Fired

    Data-Driven Multi-Objective Optimisation of Coal-Fired Boiler Combustion Systems Alma A. M. Rahata,, Chunlin Wangb, Richard M. Everson a, Jonathan E. Fieldsend aDepartment of Computer Science, University of Exeter, UK. bHangzhou Dianzi University, China. Abstract Coal remains an important energy source.Get Price

  • The multi-objective optimization of combustion system

    Nov 01, 2018 · In recent years a few studies have been conducted on data-driven multi-objective optimisation of coal-fired boilers with a view to reducing NOx emission and increasing efficiency simultaneously. One of the earliest attempt at solving this multi-objective problem is due to Zhou et al. . They constructed a multi-layer perceptron (MLP) model for predicting NOx and UBC with …Get Price

  • Operation optimization of a distributed energy system

    Oct 01, 2015 · A biomass boiler is used to meet the demand of domestic hot water. The mass flow rate in the biomass boiler, B ̇ boil (t), is given by: (2) B ̇ boil (t) = H ̇ bio (t) / (η boil, bio · LHV bio), for all t, where H ̇ bio (t) is the heat generation level of the biomass boiler, η boil,bio the combustion efficiency of the boiler, and LHV bio Get Price

  • Multi-objective performance optimal design of large-scale

    Apr 08, 2008 · Chen MS, Liu DP (2006) Multi-objective optimization of coal-fired boiler combustion based on LS-SVM and SPEA2. East China Electric Power 34(3):50–54. Google Scholar 3. Lun GC, Chueh CH (2004) Multi-objective optimal design of truss structure with immune algorithm.Get Price

  • Optimized scheme in coal-fired boiler combustion based on

    An integrated combustion optimization scheme is proposed for the combined considering the restriction in coal-fired boiler combustion efficiency and outlet NOx emissions. Continuous attribute discretization and reduction techniques are handled as optimization preparation by E-Cluster and C_RED methods, in which the segmentation numbers don't need to be provided in …Get Price

  • Research on Data Rectification and Multi-Objective

    Genetic Algorithm and its improvement is studied and Multi-objective Evolutionary Algorithms are analyzed in detail in the thesis, such as VEGA, NSGA/NSGA-II, NPGA, SPEA/SPEA2, etc.3. Application of multi-objective optimization algorithms in boiler combustion optimization is studied in the thesis.Get Price

  • (PDF) Modeling and optimization of boiler combustion

    Boiler combustion is a complex multi-phase reaction process. Computational intelligence-based combustion optimization algorithm is of high complexity, and …Get Price

  • Optimization of coal-fired boiler SCRs based on modified

    An integrated optimization scheme is proposed for optimal operation of a coal-fired boiler equipped with a SCR system and rotating APHs. The optimization approach is based on having avail-able monitoring tools for measurements of combustion-related parameters such as excess O 2 at the boiler outlet, coal flow ratesGet Price

  • Modeling and Optimization of Unburned Carbon in Coal-Fired

    May 24, 2013 · An approach to model coal combustion process to predict and minimize unburned carbon in bottom ash of a large-capacity pulverized coal-fired boiler used in thermal power plant is proposed. The unburned carbon characteristic is investigated by parametric field experiments.Get Price

  • Oil-gas boilers - OIl - Gas Steel boilers ENERSAVE (23 - 4

    Steel boiler pressurized (23-4.642kW), with flame return. It burns oil and gas. Economic series, with exhaust gas turbulators. Competitive price, guaranteed efficiency and operation. High efficiency that ensures fuel economy and minimizes pollutants. It is accompanied by metal covers and control panel on demand. Strong construction, Reliability,Get Price

  • Data-driven multi-objective optimisation of coal-fired

    Data-driven multi-objective optimisation of coal-fired boiler combustion systems. August 2018. Applied Energy 229:446 - 458. DOI: 10.1016/j.apenergy.2018.07.101. …Get Price

  • Combustion optimization of ultra supercritical boiler

    Downloadable (with restrictions)! A method for optimizing the combustion in an ultra-supercritical boiler is developed and evaluated in a 660 MWe ultra-supercritical coal fired power plant. In this method, Artificial Neural Networks (ANN) models are established for predicting the boiler operating and emission properties. To enhance the generalization of the ANN models, …Get Price

  • Data-driven multi-objective optimisation of coal-fired

    Journal article 221 views 67 downloads. Data-driven multi-objective optimisation of coal-fired boiler combustion systems / Alma Rahat, Chunlin Wang, Richard M. Everson, Jonathan E. Fieldsend. Applied Energy, Volume: 229, Pages: 446 - 458Get Price

  • A comparative study of the multi-objective optimization

    Optimization of coal-fired boiler SCRs based on modified Get Price

  • Optimized scheme in coal-fired boiler combustion based on

    An integrated combustion optimization scheme is proposed for the combined considering the restriction in coal-fired boiler combustion efficiency and outlet NOx emissions. Continuous attribute discretization and reduction techniques are handled as optimization preparation by E-Cluster and C_RED methods, in which the segmentation numbers don't need to be provided in …Get Price

  • Multi-objective Optimization of Coal-fired Boiler

    Multi-objective Optimization of Coal-fired Boiler Combustion Based on Nondominated Sorting Genetic Algorithm WU Feng, ZHOU Hao, ZHENG Li-gang, CEN Ke-fa (State Key Laboratory of Clean Energy Utilization (Zhejiang University), Hangzhou 310027, Zhejiang Province, China)Get Price

  • MODELLING AND COMBUSTION OPTIMIZATION OF COAL …

    combustion optimization hybrid modelling of a 300 MW coal-fired power station . boiler is carried out. The boiler is optimized for combustion, and the weight co-efficient method is used to convert the multi-objective optimization problem into a single-objective optimization problem. The results show that the relative errorGet Price

  • Optimization of sootblowing frequency to improve boiler

    Jan 28, 2015 · In a conventional coal-fired boiler combustion of coal causes buildup of soot, ash, and slag in the heat transfer surfaces, which reduces the heat transfer as well as operating efficiency. To achieve a high operating efficiency and improving heat transfer in boiler pressure parts, sootblowing is an important phenomenon in boiler operation. Boiler operators are …Get Price

  • Optimization of coal-fired boiler using neural network

    Dec 20, 2015 · It is meaningful to research the coal-fired boiler optimization simulation. The study improves the neural network by genetic algorithm, and uses it to develop a model on the basis of optimal combustion experiment data, and optimizes the combustion parameters by the genetic algorithm to guide employee to adjust the fuel, air rate to achieve the Get Price

  • Combustion optimization of ultra supercritical boiler

    A method for optimizing the combustion in an ultra-supercritical boiler is developed and evaluated in a 660 MWe ultra-supercritical coal fired power plant. In this method, Artificial Neural Networks (ANN) models are established for predicting the …Get Price

  • Multi‐objective optimization of the coal combustion

    On the other hand, combustion optimization (Radl, 2000; Zhou et al., 2005) has been proved to be an effective way to realize low NO x combustion in coal fired utility boilers, in which low NO x Get Price

  • MODELLING AND COMBUSTION OPTIMIZATION OF COAL …

    combustion optimization hybrid modelling of a 300 MW coal-fired power station . boiler is carried out. The boiler is optimized for combustion, and the weight co-efficient method is used to convert the multi-objective optimization problem into a single-objective optimization problem. The results show that the relative errorGet Price

  • Research on Data Rectification and Multi-Objective

    Genetic Algorithm and its improvement is studied and Multi-objective Evolutionary Algorithms are analyzed in detail in the thesis, such as VEGA, NSGA/NSGA-II, NPGA, SPEA/SPEA2, etc.3. Application of multi-objective optimization algorithms in boiler combustion optimization is studied in the thesis.Get Price

  • Optimization of Coal-fired Boiler on LS-SVM Model and PSO

    combustion which can be improved by combustion optimization. And combustion optimization has been proved to be an effective way to reduce the . Nox. emissions and improve boiler combustion efficiency by setting the operating parameters. The aim of this work is to achieve optimization of the coal-fired boiler by least square-support vector Get Price

  • Optimization of coal-fired boiler using neural network

    Dec 20, 2015 · It is meaningful to research the coal-fired boiler optimization simulation. The study improves the neural network by genetic algorithm, and uses it to develop a model on the basis of optimal combustion experiment data, and optimizes the combustion parameters by the genetic algorithm to guide employee to adjust the fuel, air rate to achieve the Get Price

  • Optimization of Coal-fired Boiler on LS-SVM Model and PSO

    combustion which can be improved by combustion optimization. And combustion optimization has been proved to be an effective way to reduce the . Nox. emissions and improve boiler combustion efficiency by setting the operating parameters. The aim of this work is to achieve optimization of the coal-fired boiler by least square-support vector Get Price

  • Deep deterministic policy gradient-based combustion

    Jul 28, 2021 · Boiler combustion optimization technology aims to improve boiler efficiency while reducing NOx emissions. However, the combustion optimization methods commonly used lack the self-learning capability and have low utilization of historical data. In this paper, a combustion optimization method based on the deep deterministic policy gradient (DDPG) algorithm is …Get Price

  • A comparative study of the multi-objective optimization

    Cheng et al. (7) built a multiobjective optimization system for the energy consumption of coal-fired boilers. Rahat et al. (8) used the data-driven Gaussian process (GP) regression model toGet Price

  • Data-Driven Multi-Objective Optimisation of Coal-Fired

    Data-Driven Multi-Objective Optimisation of Coal-Fired Boiler Combustion Systems Alma A. M. Rahata,, Chunlin Wangb, Richard M. Everson a, Jonathan E. Fieldsend aDepartment of Computer Science, University of Exeter, UK. bHangzhou Dianzi University, China. Abstract Coal remains an important energy source.Get Price

  • Multi‐objective optimization of the coal combustion

    On the other hand, combustion optimization (Radl, 2000; Zhou et al., 2005) has been proved to be an effective way to realize low NO x combustion in coal fired utility boilers, in which low NO x Get Price

  • Multi‐objective optimization of the coal combustion

    Feb 24, 2005 · A genetic algorithm (GA) is employed to perform a multi-objective search to determine the optimum solution of the ANN model, finding the optimal setpoints, which can suggest operators' correct actions to decrease NO x emissions and the carbon content in the flyash simultaneously, namely, get a good boiler combustion performance with high boiler Get Price

  • [PDF] Optimization of combustion process in coal-fired

    Abstract This paper presents methodology and results of a research project on software optimization of combustion process efficiency in coal-fired power plant. The general goal of this project was to increase boiler efficiency by proper control of the combustion process using optimization software, integrated with Distributed Control System and in-furnace temperature …Get Price

  • Combustion Optimization for Coal Fired Power Plant Boilers

    The distributed particle swarm optimization algorithm based on MapReduce is used to optimize the input parameters of boiler combustion model, and weighted coefficient method is used to solve the multi-objective optimization problem (boiler …Get Price

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