eprintid: 8522
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/85/22
datestamp: 2023-11-09 16:20:26
lastmod: 2023-11-09 16:20:26
status_changed: 2023-11-09 16:12:51
type: conference_item
metadata_visibility: show
creators_name: Xiaoming, Z.
creators_name: Aoki, H.
creators_name: Sato, A.
creators_name: Majid, M.A.A.
title: An empirical study on performance optimization at district cooling plant of Universiti Teknologi PETRONAS
ispublished: pub
keywords: Cooling systems; Energy utilization; Heat storage; Scheduling, Cooling plants; District cooling; Empirical studies; Operations scheduling; Optimisations; Performance optimizations; PETRONAS; Root cause analysis; Scheduling optimization; Scheduling variable, Energy efficiency
note: cited By 3; Conference of 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 ; Conference Date: 12 December 2017 Through 15 December 2017; Conference Code:134570
abstract: District cooling plant has been widely used in comfort cooling service (for airport, university, shopping mall, etc.) and industry process cooling service. However, current district cooling plants are becoming more complex with hybrid cooling equipment such as Steam Absorption Chiller, Electric Chiller, Thermal Energy Storage, etc., it's challenging to implement energy efficient cooling operation with high cooling performance and low energy consumption. Conventional optimization uses cost objective function to calculate energy consumption with operation scheduling variables as input. Through searching variables' space, the variable set with minimum energy cost is selected as optimal operation solution. However, this method is not valid when correlation between power consumption and scheduling variable is weak. The present paper enhances operation scheduling optimization by integrating RCA (Root Cause Analysis) method to identify the occasion when the required correlation is strong and optimization objective function can be applied. Also, the proposed method can integrate with empirical performance knowledge to solve local optimization problem. The experiments at district cooling plant of UTP (Universiti Teknologi PETRONAS) shows new operation scheduling optimization can save power by 50 averagely. © 2017 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050572657&doi=10.1109%2fAPSIPA.2017.8281997&partnerID=40&md5=756246382670e9370b3c3b9c8182c2de
id_number: 10.1109/APSIPA.2017.8281997
full_text_status: none
publication: Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
volume: 2018-F
pagerange: 27-32
refereed: TRUE
isbn: 9781538615423
citation:   Xiaoming, Z. and Aoki, H. and Sato, A. and Majid, M.A.A.  (2017) An empirical study on performance optimization at district cooling plant of Universiti Teknologi PETRONAS.  In: UNSPECIFIED.