Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network

G. E. Valencia; J. B. Restrepo; M. Osorio-Cardenas

Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network

G. E. Valencia
, J. B. Restrepo
, M. Osorio-Cardenas

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

Original language	English
Title of host publication	23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018
Publisher	Czech Society of Chemical Engineering
Pages	1306
Number of pages	1
ISBN (Electronic)	9781510881198
State	Published - 2018
Event	23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018 - Prague, Czech Republic Duration: 25 Aug 2018 → 29 Aug 2018

Publication series

Name	23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018
Volume	2

Conference

Conference	23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018
Country/Territory	Czech Republic
City	Prague
Period	25/08/18 → 29/08/18

Types Minciencias

Scientific events with a public engagement component

Cite this

Valencia, G. E., Restrepo, J. B., & Osorio-Cardenas, M. (2018). Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network. In 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018 (pp. 1306). (23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018; Vol. 2). Czech Society of Chemical Engineering.

Valencia, G. E. ; Restrepo, J. B. ; Osorio-Cardenas, M. / Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network. 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. Czech Society of Chemical Engineering, 2018. pp. 1306 (23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018).

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title = "Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network",

author = "Valencia, \{G. E.\} and Restrepo, \{J. B.\} and M. Osorio-Cardenas",

year = "2018",

language = "Ingl{\'e}s",

series = "23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018",

publisher = "Czech Society of Chemical Engineering",

pages = "1306",

booktitle = "23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018",

address = "Rep{\'u}blica Checa",

note = "23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018 ; Conference date: 25-08-2018 Through 29-08-2018",

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Valencia, GE, Restrepo, JB & Osorio-Cardenas, M 2018, Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network. in 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018, vol. 2, Czech Society of Chemical Engineering, pp. 1306, 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018, Prague, Czech Republic, 25/08/18.

Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network. / Valencia, G. E.; Restrepo, J. B.; Osorio-Cardenas, M.
23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. Czech Society of Chemical Engineering, 2018. p. 1306 (23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018; Vol. 2).

Research output: Chapter in Book/Conference proceeding › Conference and proceedings › peer-review

TY - GEN

T1 - Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network

AU - Valencia, G. E.

AU - Restrepo, J. B.

AU - Osorio-Cardenas, M.

PY - 2018

Y1 - 2018

UR - https://www.scopus.com/pages/publications/85085042103

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85085042103

T3 - 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018

SP - 1306

BT - 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018

PB - Czech Society of Chemical Engineering

T2 - 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018

Y2 - 25 August 2018 through 29 August 2018

ER -

Valencia GE, Restrepo JB, Osorio-Cardenas M. Exergetic modeling of a cogeneration system using a 30 kW gas microturbine by artificial neural network. In 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018. Czech Society of Chemical Engineering. 2018. p. 1306. (23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018).