Modeling and Simulation of Complex Fluid Networks in the Flue Gas System of a Boiler
Yue Zhang,
Yuhan Men and
Pu Han
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Yue Zhang: Department of Automation, North China Electric Power University, Yonghua North Street, No. 619, Baoding 071003, China
Yuhan Men: Department of Automation, North China Electric Power University, Yonghua North Street, No. 619, Baoding 071003, China
Pu Han: Department of Automation, North China Electric Power University, Yonghua North Street, No. 619, Baoding 071003, China
Energies, 2017, vol. 10, issue 9, 1-12
Abstract:
Under the conditions of high demand for energy saving and environmental protection, the thermal power unit is required to phase out the traditional extensive operation mode—a method of oxygen-enriched combustion in a furnace, considering safety first. Achieving efficient and economic operation with an optimal proportion of air distribution in these thermal power units is crucial. The high-precision simulation equipment could provide an experimental basis for optimal operation of field units. This paper starts by improving the accuracy of simulation equipment. In this work, the method of dividing nodes and branches in the boiler was based on signal flow graph theory. According to the flow characteristics of the working substance, the method for calculating the node and branch pressure drop was analyzed and set up. Subsequently, a fluid network model of the multi-dimensional flue gas system was constructed. With the help of our self-developed simulation model and data-driven platform, a modular simulation algorithm was designed. The simulation analysis of the boiler showed the accuracy of the model.
Keywords: thermal power plant; flue gas system; fluid network; nodes and branches; signal flow graph; simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:9:p:1432-:d:112341
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