Multi-Objective Optimization of Energy Saving Control for Air Conditioning System in Data Center
Leehter Yao and
Jin-Hao Huang
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Leehter Yao: Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Jin-Hao Huang: Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Energies, 2019, vol. 12, issue 8, 1-16
Abstract:
A multi-objective optimization scheme is proposed to save energy for a data center air conditioning system (ACS). Since the air handling units (AHU) and chillers are the most energy consuming facilities, the proposed energy saving control scheme aims to maximize the saved energy for these two facilities. However, the rack intake air temperature tends to increase if the energy saving control scheme applied to AHU and chillers is conducted inappropriately. Both ACS energy consumption and rack intake air temperature stabilization are set as two objectives for multi-objective optimization. The non-dominated sorting genetic algorithm II (NSGA-II) is utilized to solve the multi-objective optimization problem. In order for the NSGA-II to evaluate fitness functions that are both the ACS total power consumption and AHU outlet cold air temperature deviations from a specified range, neural network models are utilized. Feedforward neural networks are utilized to learn the power consumption models for both chillers and AHUs as well as the AHU outlet cold air temperature based on the recorded data collected in the field. The effectiveness and efficiency of the proposed energy saving control scheme is verified through practical experiments conducted on a campus data center ACS.
Keywords: data center; chiller; air handling unit; multi-objective optimization; power usage effectiveness (PUE), rack cooling index (RCI) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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