Analysis of heat recovery steam generator performance through simulation based on artificial neural network

Putri Y. Aisyah*, Totok Soehartanto, Ronny D. Noriyati, Furoidah Chilmi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The exhaust heat generated by the Gas Power Plant has a high value of around 500°C. The high exhaust heat temperature can be utilized by Heat Recovery Steam Generator (HRSG) to make superheated steam. HRSG has three main components: economizer, evaporator, and superheater. Artificial Neural Network-based Analysis Method can be used to determine the efficiency of HRSG without the inlet and outlet data of each component. Efficiency analysis is based on Mean Square Error (MSE) values obtained from Artificial Neural Network Method applied. The Neural Network is considered good if the MSE value is small, because the smaller MSE value is closer to the regression. From the research that has been done, the application of the Artificial Neural Network Analysis Method on HRSG obtained an MSE value around 10-3 - 10-4 with a regression value of about 0,9. Based on the MSE value obtained, it can be concluded that the modeling of the Artificial Terms Network on the HRSG can be a good estimator.

Original languageEnglish
Title of host publicationEngineering Physics International Conference 2021, EPIC 2021
EditorsAyodya Pradhipta Tenggara, Nur Abdillah Siddiq, Sita Gandes Pinasti, Rizki Insyani, Jundika Candra Kurnia, Geetali Saha, Rasool Moradi-Dastjerdi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444843
Publication statusPublished - 22 May 2023
Event3rd Engineering Physics International Conference, EPIC 2021 - Yogyakarta, Virtual, Indonesia
Duration: 24 Aug 202125 Aug 2021

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Conference3rd Engineering Physics International Conference, EPIC 2021
CityYogyakarta, Virtual


Dive into the research topics of 'Analysis of heat recovery steam generator performance through simulation based on artificial neural network'. Together they form a unique fingerprint.

Cite this