Operating Point Estimating for an Absorption Process using Data Clustering Technique

As part of a tri-generation plant, an absorption process provides the means to recover the energy that otherwise would be lost to the environment. Since the overall efficiency relies on the amount of energy recovered in all the subsystems, knowing the current performance of the absorption process is...

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Main Authors: Abd Majid, Mohd Amin, Sulaiman, S. A., Mokhtar, Hamdan, Tamiru, A. L.
Format: Article
Published: 2013
Online Access:http://eprints.utp.edu.my/10801/1/377-384%20Operating%20Point%20Estimation%20for%20an%20absorption.pdf
http://eprints.utp.edu.my/10801/
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spelling my.utp.eprints.108012015-04-28T02:54:17Z Operating Point Estimating for an Absorption Process using Data Clustering Technique Abd Majid, Mohd Amin Sulaiman, S. A. Mokhtar, Hamdan Tamiru, A. L. As part of a tri-generation plant, an absorption process provides the means to recover the energy that otherwise would be lost to the environment. Since the overall efficiency relies on the amount of energy recovered in all the subsystems, knowing the current performance of the absorption process is vital to proper management of the resources. This study proposes the use of data clustering technique to estimate the most frequent operating point experienced by the absorption system in a given year. The same technique is applied to identify operating point trajectory of the system over nine years. In order to demonstrate applicability of the proposed approach, an absorption system that is comprised of two 12 ton per hour heat recovery steam generators and two 1250 RT double effect LiBr-H2O steam absorption chillers is considered as a case study. It was observed that data clustering technique is an effective method in establishing the relationships between the supplied heat and the amount of energy recovered by each subsystem. The heat recovery steam generators were identified as operating part load ratio of about 0.41. The clustering method clearly revealed that both chillers deteriorated in performance. The absorption systems were mostly run on part load ratio of about 0.8. As such , at this operating point the energy demand was by 43% higher than that required for healthy system. The proposed technique is applicable for performance monitoring, optimization and multi-state reliability studies of the absorption system. 2013 Article PeerReviewed application/pdf http://eprints.utp.edu.my/10801/1/377-384%20Operating%20Point%20Estimation%20for%20an%20absorption.pdf Abd Majid, Mohd Amin and Sulaiman, S. A. and Mokhtar, Hamdan and Tamiru, A. L. (2013) Operating Point Estimating for an Absorption Process using Data Clustering Technique. Journal of Applied Sciences . ISSN 18125654 http://eprints.utp.edu.my/10801/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description As part of a tri-generation plant, an absorption process provides the means to recover the energy that otherwise would be lost to the environment. Since the overall efficiency relies on the amount of energy recovered in all the subsystems, knowing the current performance of the absorption process is vital to proper management of the resources. This study proposes the use of data clustering technique to estimate the most frequent operating point experienced by the absorption system in a given year. The same technique is applied to identify operating point trajectory of the system over nine years. In order to demonstrate applicability of the proposed approach, an absorption system that is comprised of two 12 ton per hour heat recovery steam generators and two 1250 RT double effect LiBr-H2O steam absorption chillers is considered as a case study. It was observed that data clustering technique is an effective method in establishing the relationships between the supplied heat and the amount of energy recovered by each subsystem. The heat recovery steam generators were identified as operating part load ratio of about 0.41. The clustering method clearly revealed that both chillers deteriorated in performance. The absorption systems were mostly run on part load ratio of about 0.8. As such , at this operating point the energy demand was by 43% higher than that required for healthy system. The proposed technique is applicable for performance monitoring, optimization and multi-state reliability studies of the absorption system.
format Article
author Abd Majid, Mohd Amin
Sulaiman, S. A.
Mokhtar, Hamdan
Tamiru, A. L.
spellingShingle Abd Majid, Mohd Amin
Sulaiman, S. A.
Mokhtar, Hamdan
Tamiru, A. L.
Operating Point Estimating for an Absorption Process using Data Clustering Technique
author_facet Abd Majid, Mohd Amin
Sulaiman, S. A.
Mokhtar, Hamdan
Tamiru, A. L.
author_sort Abd Majid, Mohd Amin
title Operating Point Estimating for an Absorption Process using Data Clustering Technique
title_short Operating Point Estimating for an Absorption Process using Data Clustering Technique
title_full Operating Point Estimating for an Absorption Process using Data Clustering Technique
title_fullStr Operating Point Estimating for an Absorption Process using Data Clustering Technique
title_full_unstemmed Operating Point Estimating for an Absorption Process using Data Clustering Technique
title_sort operating point estimating for an absorption process using data clustering technique
publishDate 2013
url http://eprints.utp.edu.my/10801/1/377-384%20Operating%20Point%20Estimation%20for%20an%20absorption.pdf
http://eprints.utp.edu.my/10801/
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score 13.209306