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Natural Gas Combustion Modeling using Artificial Neural Networks- A Case Study of Bidboland Gas Refinery
ISSN: en
Publisher: author
Natural Gas Combustion Modeling using Artificial Neural Networks- A Case Study of Bidboland Gas Refinery
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Abstract
There is a variety of pollutants, Due to the combustion of natural gas-fired gas.A number of pollutants in the combustion of natural gas, depend on the quality and composition of the gas components. Major changes in the composition of natural gas causes changes in furnace performance and emissions levels.The analysis of Refinery production of gas composition changes on furnace combustion products Combustion is required to solve complex relationships Increased error rate at the time it analyzes and also makes it more time. This cause the use of modeling methods that have predictive power and high accuracy are required. the goal of the paper is to investigate the effect of gas composition on combustion products. In this  article, using experimental data Bidboland gas refinery, Changes in composition and Convection of refinery gas-fired combustion products of a refinery was studied in the period of time And model by neural network. ...
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International Category Code (ICC):
ICC-0202
Amin Jahani, Mehdi Reiszadeh
International Article Address (IAA):
IAA.ZONE/en8269en
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