IDENTIFICATION OF MATHEMATICAL MODEL OF WATER LINE IN HEAT EXCHANGERS
Item
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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IDENTIFICATION OF MATHEMATICAL MODEL OF WATER LINE IN HEAT EXCHANGERS
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Descrição
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Heat exchangers are widely used in industries for the use of thermal energy generated from
different processes. For a definite use of this energy, the temperatures of the hot and cold fluids
passing through the heat exchanger must be monitored and controlled efficiently. A suitable
model of the heat exchanger is required for monitoring and control purposes. The objective of this
work is to mathematically model a heat exchanger using a system identification method using a
computational tool. The methodology used consists of data collection and simulation of models,
as well as the analysis of comparison of the estimated models with the real system. The results
show that the identification through computational simulation presented satisfactory results
Key Words:
Heat exchanger; Cold fluid; Estimated
mathematical model; Computational simulation
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Abstract
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Heat exchangers are widely used in industries for the use of thermal energy generated from
different processes. For a definite use of this energy, the temperatures of the hot and cold fluids
passing through the heat exchanger must be monitored and controlled efficiently. A suitable
model of the heat exchanger is required for monitoring and control purposes. The objective of this
work is to mathematically model a heat exchanger using a system identification method using a
computational tool. The methodology used consists of data collection and simulation of models,
as well as the analysis of comparison of the estimated models with the real system. The results
show that the identification through computational simulation presented satisfactory results
Key Words:
Heat exchanger; Cold fluid; Estimated
mathematical model; Computational simulation
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 2019
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Palavra-chave
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Heat exchanger
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Cold fluid
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Estimated mathematical mode
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Computational simulation
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Autores
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Igor Nunes Lopes
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Livia da Silva Oliveira
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Jean Mark Lobo de Oliveira
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Fábio Peso da Cruz
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David Barbosa de Alencar
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Local
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ITEGAM - Manaus, 2019
