A loss method for exergy auditing of steam boilers

Behbahaninia, Ali; Ramezani, Sayed Reza; Hejrandoost, Masoud Lotfi

doi:10.1016/j.energy.2017.08.090

Cited by 52 publications

(23 citation statements)

References 10 publications

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“…Xie et al [31] applied constructal theory to optimize heat transfer performance and pressure drop of an evaporator boiler. Behbahaninia et al [32] presented a novel auditing approach to monitor the performance of steam boilers based on exergy approach. This method was proposed based on ASME PTC (Performance Test Code Standards) 4.1 to calculate the exergy loss and exergy efficiency.…”

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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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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“…Behbahaninia et al [32] presented a novel auditing approach to monitoring the performance of steam boilers based on exergy approach. This method was proposed based on ASME ptc 4.1 to calculate the exergy loss and exergy efficiency.…”

Section: Introductionmentioning

confidence: 99%

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

Maddah¹,

Sadeghzadeh²,

Ahmadi³

et al. 2019

Preprint

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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: 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 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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“…The latest world research includes e.g. research on the influence of air distribution in the combustion process on the growth of brown coal combustion effects [15], application of exergy analysis in boiler optimization [4] and use of biomass in commercial boilers [9]. Parallel to the research work related to boiler structure analyzes, the researchers analyze burners, fuels [13], their properties and dependencies between them [10].…”

Section: Introductionmentioning

confidence: 99%

Structural changes in small power boilers over the last years

Bartoszewicz

2019

E3S Web Conf.

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The aim of this research is to assess the construction of lowtemperature solid fuel boilers with special consideration of changes in their construction over the last years. The results contained in this paper are based on analysis of production program of 130 coal boilers manufacturers from Poland. Attributes which are the main subject of comparison and their classify with reference to compatibility with standards requirements consists with parameters indicating energetic properties of construction such as fuel consumption, heating surface, thermal load of heating surface, boiler efficiency, boiler mass, water capacity, slow-burning, and others. Results are compiled in tables and figures which allows comparing to compare construction features boilers in the same standard class. The main reason for this analysis is to show the direction of boiler industry evolution. These results can be used as construction data for new boilers, or to evaluate already existing boiler.

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A loss method for exergy auditing of steam boilers

Cited by 52 publications

References 10 publications

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

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

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

Structural changes in small power boilers over the last years

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