Optimization of sootblowing frequency to improve boiler performance and reduce combustion pollution

Pattanayak, Lalatendu; Ayyagari, Sai Prem Kumar; Sahu, J.N.

doi:10.1007/s10098-015-0906-0

Cited by 28 publications

(20 citation statements)

References 17 publications

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“…The duration of offline cleaning tasks can be considerably higher than that of online tasks, because during offline cleaning other supplementary maintenance tasks, such as mechanical and electrical inspections, take place. The interested reader could be referred to the works of Pattanayak et al [17] and Tian et al [18] for a more detailed discussion on the cleaning of equipment.…”

Section: Planning Of Cleaning Operationsmentioning

confidence: 99%

Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies

Zulkafli

Kopanos

2016

Applied Energy

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A general optimization framework for the simultaneous operational planning of utility and production systems is presented with the main purpose of reducing the energy needs and material resources utilization of the overall system. The proposed mathematical model focuses mainly on the utility system and considers for the utility units: (i) unit commitment constraints, (ii) performance degradation and recovery, (iii) different types of cleaning tasks (online or offline, and fixed or flexible time-window), (iv) alternative options for cleaning tasks in terms of associated durations, cleaning resources requirements and costs, and (v) constrained availability of resources for cleaning operations. The optimization function includes the operating costs for utility and production systems, cleaning costs for utility systems, and energy consumption costs. Several case studies are presented in order to highlight the applicability and the significant benefits of the proposed approach. In particular, in comparison with the traditional sequential planning approach for production and utility systems, the proposed integrated approach can achieve considerable reductions in startup/shutdown and cleaning costs, and most importantly in utilities purchases, as it is shown in one of the case studies.

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Section: Planning Of Cleaning Operationsmentioning

confidence: 99%

Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies

Zulkafli

Kopanos

2016

Applied Energy

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“…Therefore, optimization for soot-blowing system with actual on-load cleaning is essential to improve boiler operating performances [13]. Researchers and engineers focus on the optimization of the soot-blowing frequency [14] and soot-blowing durations to improve thermal efficiency and reduce combustion pollution [15].…”

Section: Introductionmentioning

confidence: 99%

An Optimization Study on Soot-Blowing of Air Preheaters in Coal-Fired Power Plant Boilers

et al. 2019

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This paper presents a comprehensive approach for optimization of soot-blowing of air preheaters in a coal-fired power plant boiler. In the method, modeling of the cleanliness factor is firstly proposed to monitor the ash deposition status of the air preheaters. Then, the statistical fitting of the ash fouling status is subsequently obtained to analyze the ash fouling dynamics and assessment of optimized soot-blowing strategies. Soot-blowing strategies are finally developed to optimize the steam consumption and heat transfer efficiency. Our methods can achieve the fouling monitoring and soot-blowing optimization of air preheater (APH) by using the existing monitoring data, not requiring additional special instruments and complex computing systems. The methodology is validated with the actual operating data of a 300 MW coal-fired power plant boiler. The results show the effectiveness of the proposed method. It can be used for the soot-blowing optimization in most coal-fired power plant boiler with air preheaters.

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“…It was stated that this optimization technique was able to lower the total cost rate by 20% and decreased the dangerous environmental impact by 88%. Pattanayak et al [37] optimized the soot blowing frequency of a boiler in a coal-fired power plant in order to lower the hazardous combustion emission and increase the boiler's efficiency. Sobota [38] proposed an on-line monitoring method to improve the efficiency of a steam boiler.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)

et al. 2019

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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: Dry gas flux, the latent heat of steam in the flue gas, the combustion loss or the loss of unburned fuel, and radiation and convection losses. In this research, the thermal behavior of boilers in gas refinery facilities is studied and their efficiency and their losses are calculated. The main part of this research is comprised of analyzing the effect of various parameters on efficiency such as excess air, fuel moisture, air humidity, fuel and air temperature, the temperature of combustion gases, and thermal value of the fuel. Based on the obtained results, it is possible to analyze and make recommendations for optimizing boilers in the gas refinery complex using response-surface method (RSM).

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Optimization of sootblowing frequency to improve boiler performance and reduce combustion pollution

Cited by 28 publications

References 17 publications

Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies

Planning of production and utility systems under unit performance degradation and alternative resource-constrained cleaning policies

An Optimization Study on Soot-Blowing of Air Preheaters in Coal-Fired Power Plant Boilers

Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)

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