Work

Optimization calculation of refrigeration unit operating conditions in big data center based on genetic algorithm

Year: 2025

Type: conference-paper

Abstract: Refrigeration unit is the second largest energy consumption system in big data center. In order to improve the energy consumption of refrigeration unit, we established the mathematical model of energy consumption of refrigerator, cooling tower, water pump and other main equipment. The actual operation data of a big data in Fangshan, Beijing was collected and fitted by least square method. A global optimization model is established to satisfy the operating parameter objectives and the boundary conditions of safe operation and cooling capacity. The simulation results obtained by using genetic algorithm are superior to the actual operation data in energy saving.

Source: International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC)

DOI: 10.1145/3745533.3745557

Authors: Duo Du, Qingyu Meng, Lei Wang, Zhechen Kang, Jiale Che

Institution: Hebei Petroleum University of Technology

Language: English

Topic: Refrigeration and Air Conditioning Technologies

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: hybrid

Funder: Strong