MODELLING AND SIMULATION OF INDUSTRIAL HEAT EXCHANGER ETWORKS UNDER FOULING CONDITION USING INTEGRATED NEURAL NETWORK AND HYSYS

MODELLING AND SIMULATION OF INDUSTRIAL HEAT EXCHANGER ETWORKS UNDER FOULING CONDITION USING INTEGRATED NEURAL NETWORK AND HYSYS

Fouling is a deposit inside heat exchanger network in a refinery has been identified as a major problem for efficient energy recovery. This heat exchanger network is also called Crude Preheat Train (CPT). In this paper, Multi Layer Perceptron (MLP) neural networks with Nonlinear Auto Regressive...

Full description

Bibliographic Details
Main Authors: Totok R. Biyanto, Roekmono Roekmono, Andi Rahmadiansyah, Aulia Siti Aisyah, Purwadi A. Darwito, Tutug Dhanardono, Titik Budiati
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2015-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Modeling
Simulation
Neural Network
Fouling
Heat Exchanger
Crude Preheat Trai
Online Access:https://kursorjournal.org/index.php/kursor/article/view/70

Internet

https://kursorjournal.org/index.php/kursor/article/view/70

Similar Items