Analysis of a thermal energy storage tank in a large district cooling system: A case study

This study's primary goal is to evaluate the performance of a large thermal energy storage tank installed in a Gas District Cooling (GDC) plant. The performance parameters considered in this study include thermocline thickness (WTc), Cumulated Charge (Qcum), and Half Figure of Merit (1/2 FOM)....

Full description

Main Authors: Majid, M.A.A., Muhammad, M., Hampo, C.C., Akmar, A.B.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30047 /
Published: MDPI AG 2020
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092107623&doi=10.3390%2fPR8091158&partnerID=40&md5=7a40a5781373fc6204126a27cecfb1a5
http://eprints.utp.edu.my/30047/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.30047
recordtype eprints
spelling utp-eprints.300472022-03-25T03:22:12Z Analysis of a thermal energy storage tank in a large district cooling system: A case study Majid, M.A.A. Muhammad, M. Hampo, C.C. Akmar, A.B. This study's primary goal is to evaluate the performance of a large thermal energy storage tank installed in a Gas District Cooling (GDC) plant. The performance parameters considered in this study include thermocline thickness (WTc), Cumulated Charge (Qcum), and Half Figure of Merit (1/2 FOM). The operation sensor data of a large Thermal Energy Storage (TES) tank was acquired for this analysis. The recorded temperature sensor from the 1st to 7th January and from 12th to 17th October 2019 was considered in this research. GraphPad prism computer software was deployed for analyses, and the temperature distribution data were analyzed to determine the four temperature parameters (hot water temperature (Th), cool water temperature (Tc), cool water depth (C), and slope gradient (S)) using a non-linear regression curve fitting technique and sigmoid Dose Responses function as integrated with the software. At the end of this research, the relationship between the growth of the determined performance parameter with charging hours was analyzed and presented. The research results proved the ability of GraphPad Prism software to assess the temperature distribution in the TES tank and also the corresponding effects on the overall Tank performance. The software offers better advantages in evaluating the performance parameter of the TES tank accurately. © 2020 by the authors. MDPI AG 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092107623&doi=10.3390%2fPR8091158&partnerID=40&md5=7a40a5781373fc6204126a27cecfb1a5 Majid, M.A.A. and Muhammad, M. and Hampo, C.C. and Akmar, A.B. (2020) Analysis of a thermal energy storage tank in a large district cooling system: A case study. Processes, 8 (9). http://eprints.utp.edu.my/30047/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This study's primary goal is to evaluate the performance of a large thermal energy storage tank installed in a Gas District Cooling (GDC) plant. The performance parameters considered in this study include thermocline thickness (WTc), Cumulated Charge (Qcum), and Half Figure of Merit (1/2 FOM). The operation sensor data of a large Thermal Energy Storage (TES) tank was acquired for this analysis. The recorded temperature sensor from the 1st to 7th January and from 12th to 17th October 2019 was considered in this research. GraphPad prism computer software was deployed for analyses, and the temperature distribution data were analyzed to determine the four temperature parameters (hot water temperature (Th), cool water temperature (Tc), cool water depth (C), and slope gradient (S)) using a non-linear regression curve fitting technique and sigmoid Dose Responses function as integrated with the software. At the end of this research, the relationship between the growth of the determined performance parameter with charging hours was analyzed and presented. The research results proved the ability of GraphPad Prism software to assess the temperature distribution in the TES tank and also the corresponding effects on the overall Tank performance. The software offers better advantages in evaluating the performance parameter of the TES tank accurately. © 2020 by the authors.
format Article
author Majid, M.A.A.
Muhammad, M.
Hampo, C.C.
Akmar, A.B.
spellingShingle Majid, M.A.A.
Muhammad, M.
Hampo, C.C.
Akmar, A.B.
Analysis of a thermal energy storage tank in a large district cooling system: A case study
author_sort Majid, M.A.A.
title Analysis of a thermal energy storage tank in a large district cooling system: A case study
title_short Analysis of a thermal energy storage tank in a large district cooling system: A case study
title_full Analysis of a thermal energy storage tank in a large district cooling system: A case study
title_fullStr Analysis of a thermal energy storage tank in a large district cooling system: A case study
title_full_unstemmed Analysis of a thermal energy storage tank in a large district cooling system: A case study
title_sort analysis of a thermal energy storage tank in a large district cooling system: a case study
publisher MDPI AG
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092107623&doi=10.3390%2fPR8091158&partnerID=40&md5=7a40a5781373fc6204126a27cecfb1a5
http://eprints.utp.edu.my/30047/
_version_ 1741197341240590336
score 11.62408

Similar Items