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Optimization of combustion were carried out by managing the amount of air and fuel used. The terms of optimal means that there is no fuel over used that would increase the production cost and the amount of toxic waste, and also no energy wasted caused by too much air. Optimization will reduce the ex...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/9818 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Optimization of combustion were carried out by managing the amount of air and fuel used. The terms of optimal means that there is no fuel over used that would increase the production cost and the amount of toxic waste, and also no energy wasted caused by too much air. Optimization will reduce the excess air level indicated by percentage of oxygen thus increasing boiler efficiency. Conventional Air to Fuel Ratio controller cannot guarantee the excess air would be minimum, this is due to many factor such as limited contact time between air and fuel in the combustion zone.<p> <br />
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This final project proposed robust H∞ multivariable control to optimize the combustion process of boiler. The optimization problem were extended in the H∞ frame work. The H∞ feedback control term is used to provide robustness to disturbances and modeling uncertainties. The performance were the then compared to the Air to Fuel Ratio controller.<p> <br />
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The H∞ control was succesfully optimized the combustion. This was shown by the average percentage of oxygen that was reduced from 6.76 % to 2.72% and achieved fuel savings 97 Nm3/hr. |
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