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2026 Vol.20, Issue 2 Preview Page

Research Article

Field Measurement Analysis of Chiller System Efficiency by Condenser Water Temperature Optimization Algorithm

냉각수온도 최적화 알고리즘을 적용한 냉동기 시스템의 운전 효율 실측 분석

Seong-Wan Jang1
,
Young-Hak Song2*
장 성완1
,
송 영학2*
1Graduate Student, Department of Architectural Engineering, Graduate School, Gyeongsang National University, Jinju, Korea
2Professor, Department of Architectural Engineering, ERI, Gyeongsang National University, Jinju, Korea
1경상국립대학교 건축공학과 대학원 석사과정
2경상국립대학교 건축공학과 교수
*Corresponding Author
30 April 2026. pp. 132-143
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Abstract

This study applies a deep neural network (DNN)-based condenser water temperature optimization algorithm to an actual central cooling system and analyzes its impact on chiller and system level performance. The proposed algorithm determines optimal condenser water temperature setpoints by minimizing predicted power consumption under given operating conditions, enabling adaptive control compared to conventional fixed setpoint operation. Field measurement data were used to compare baseline and algorithm-applied periods under identical cooling load conditions. The results show that system coefficient of performance (COP) improved noticeably during the algorithm-applied period, particularly within the cooling load range of 1200~2000 kW, where cooling operation was most frequent. Within this range, the system COP increased by an average of 10.82%, with the largest improvement observed in the 1200~1400 kW interval. Analysis of individual chiller operation indicates that load distribution and chiller staging significantly influence COP behavior under part-load conditions. These findings demonstrate that DNN-based condenser water temperature optimization can effectively enhance system efficiency under practical operating conditions and highlight the importance of integrated control strategies considering both setpoint optimization and chiller operation characteristics.

Keywords
Optimization
Algorithm
Coefficient of Performance (COP)
Field Measurement
Energy-Savings
키워드
최적화
알고리즘
성능계수(COP)
실측
에너지 절감
References
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Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 20
  • No :2
  • Pages :132-143
  • Received Date : 2026-02-09
  • Revised Date : 2026-03-25
  • Accepted Date : 2026-03-26
  • DOI :https://doi.org/10.22696/jkiaebs.20260012
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