Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission

Gas District Cooling (GDC) provides electricity and chilled water to facilities with relatively low running cost and has the potential to reduce CO2 emission as it can make effective use of wasted energy. However, the present CO2 emission tends to be higher than expected due to the chilled water sup...

Full description

Saved in:
Bibliographic Details
Main Authors: Okitsu, J., Khamis, M.F.I., Zakaria, N., Naono, K., Haruna, A.A.
Format: Article
Published: Elsevier Inc. 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937514664&doi=10.1016%2fj.suscom.2014.08.010&partnerID=40&md5=3531b02e1f23ce64b9fd63f94c92775e
http://eprints.utp.edu.my/26228/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.26228
record_format eprints
spelling my.utp.eprints.262282021-08-30T08:55:02Z Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission Okitsu, J. Khamis, M.F.I. Zakaria, N. Naono, K. Haruna, A.A. Gas District Cooling (GDC) provides electricity and chilled water to facilities with relatively low running cost and has the potential to reduce CO2 emission as it can make effective use of wasted energy. However, the present CO2 emission tends to be higher than expected due to the chilled water supply-demand gap. To efficiently manage the gap, this paper introduces a novel chilled water supply-demand gap model and proposes an integrated GDC and Data Center (DC) control based on the model. The gap model, defined by GDC plant and DC controllable parameters, estimates the required additional chilled water supply. Then, DC and chillers in the plant are controlled based on the model to minimize the required additional supply. The analysis using GDC operational data in Universiti Teknologi PETRONAS shows that the accuracy of the models depends on temperature differences between rooms and outdoor, and Steam Absorption Chillers (SAC) operations. Thus, the analysis suggests that the incorporation of room and outdoor temperature sensors in the DC, and the proper scheduling of SAC operation can improve the accuracy of the models. The improved accuracy will in turn allows the GDC operation to be better optimized, resulting in a reduced CO2 emission. © 2014 Elsevier Inc. All rights reserved. Elsevier Inc. 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937514664&doi=10.1016%2fj.suscom.2014.08.010&partnerID=40&md5=3531b02e1f23ce64b9fd63f94c92775e Okitsu, J. and Khamis, M.F.I. and Zakaria, N. and Naono, K. and Haruna, A.A. (2015) Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission. Sustainable Computing: Informatics and Systems, 6 . pp. 39-47. http://eprints.utp.edu.my/26228/
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 Gas District Cooling (GDC) provides electricity and chilled water to facilities with relatively low running cost and has the potential to reduce CO2 emission as it can make effective use of wasted energy. However, the present CO2 emission tends to be higher than expected due to the chilled water supply-demand gap. To efficiently manage the gap, this paper introduces a novel chilled water supply-demand gap model and proposes an integrated GDC and Data Center (DC) control based on the model. The gap model, defined by GDC plant and DC controllable parameters, estimates the required additional chilled water supply. Then, DC and chillers in the plant are controlled based on the model to minimize the required additional supply. The analysis using GDC operational data in Universiti Teknologi PETRONAS shows that the accuracy of the models depends on temperature differences between rooms and outdoor, and Steam Absorption Chillers (SAC) operations. Thus, the analysis suggests that the incorporation of room and outdoor temperature sensors in the DC, and the proper scheduling of SAC operation can improve the accuracy of the models. The improved accuracy will in turn allows the GDC operation to be better optimized, resulting in a reduced CO2 emission. © 2014 Elsevier Inc. All rights reserved.
format Article
author Okitsu, J.
Khamis, M.F.I.
Zakaria, N.
Naono, K.
Haruna, A.A.
spellingShingle Okitsu, J.
Khamis, M.F.I.
Zakaria, N.
Naono, K.
Haruna, A.A.
Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission
author_facet Okitsu, J.
Khamis, M.F.I.
Zakaria, N.
Naono, K.
Haruna, A.A.
author_sort Okitsu, J.
title Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission
title_short Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission
title_full Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission
title_fullStr Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission
title_full_unstemmed Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission
title_sort toward an architecture for integrated gas district cooling with data center control to reduce co2 emission
publisher Elsevier Inc.
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937514664&doi=10.1016%2fj.suscom.2014.08.010&partnerID=40&md5=3531b02e1f23ce64b9fd63f94c92775e
http://eprints.utp.edu.my/26228/
_version_ 1738656841955540992
score 13.211869