Decision Making Model of Data Center Chilled Water Cooling System

2016 ◽  
Vol 1 (3) ◽  
pp. 26-35
Author(s):  
PIOTR KOWALSKI
Keyword(s):  
Decision Making ◽  
Data Center ◽  
Cooling System ◽  
Water Cooling ◽  
Chilled Water ◽  
Decision Making Model ◽  
Water Cooling System

scholarly journals Modeling and optimization of a chilled-water cooling system with multiple chillers

2020 ◽  
pp. 328-328
Author(s):  
Jiamin Du ◽  
Shuhong Li ◽  
Xinmei Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Cooling System ◽  
Support Vector ◽  
Water Cooling ◽  
Parallel Operation ◽  
Total Energy Consumption ◽  
Modeling And Optimization ◽  
Chilled Water ◽  
Water Cooling System

In order to reduce energy consumption of the centralized chilled-water cooling system in large buildings, a dynamic control strategy was proposed for cooling plants by modeling and optimization. Combined with the chilled water flow model, this paper analyzed the parallel operation characteristics of the chillers and takes the load distribution as one of the control parameters. Based on the measured data of a typical cooling system that has undergone preliminary energy-saving transformation, the residual neural network (ResNet) is applied to model the relationship among energy consumption, controllable parameters and environmental parameters, and the ResNet outperforms multi-layer perceptron (MLP) and support vector regression (SVR). To minimize the total energy consumption, the gray wolf optimizer (GWO) was introduced to optimize the controllable variables of the cooling system. Compared with the energy consumption before optimization, the simulation energy consumption after optimization decreased 10.45% on average, while the energy saving rate is only 7.9% with equal chilled water supply temperature of parallel chillers.

scholarly journals Optimized Design of Diesel Generators Based Chilled Water Cooling System for Intelligent Hospitals and Hotels

2020 ◽  
Vol 9 (3) ◽  
pp. 1649-1656
Keyword(s):  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Cooling System ◽  
Load Management ◽  
Water Cooling ◽  
Cooling Systems ◽  
Saving Ratio ◽  
Chilled Water ◽  
Diesel Generators ◽  
Water Cooling System

For the intelligent applications like Hotels and Hospitals, there is requirement of efficient chilled water system in terms of energy consumption reduction, cost minimization, reduction in Carbon Dioxide (CO2 ) emissions. As the loads in hotels and applications increases, the performances of water cooling systems becomes the worst that leads to excessive consumption of energy and emission of CO2 , thus it needs the efficient load management strategies as well. In this paper, we first analysed the challenges of energy and CO2 efficiency of water cooling system in the intelligent hospitals and hotels from systematic point of view and then introduced the effective scheduling strategies for both hotel and hospitals. Further, the key focus in this paper is to design water cooling system using the diesel generators by considering the real time applications hospitals and hotels. Since the coolant temperature is having the significant effects on the performance of cooling engine and the CO2 emissions, therefore we introduced the diesel generators with coolant system to investigate such effects. For the cold water supply load management, we designed the Particle Swarm Optimization (PSO) based scheduling strategy at last. This paper exhibits the plan and its simulation results that analysed in terms of ESR (Energy Saving Ratio), CSR (Cost Saving Ratio), and CRR (Carbon dioxide Reduction Ratio) for the Internal Combustion Engine (ICE) capacity on heating and cooling systems.

Multi-Objective Optimization Analysis of Motor Cooling System in Articulated Dump Truck

2011 ◽  
Vol 383-390 ◽  
pp. 4715-4720
Author(s):  
Yan Zhang ◽  
Yan Hua Shen ◽  
Wen Ming Zhang
Keyword(s):  
Field Distribution ◽  
Cooling System ◽  
Dump Truck ◽  
Water Cooling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Pareto Optimal Set ◽  
Temperature And Pressure ◽  
Water Cooling System ◽  
Optimal Set

In order to ensure the reliable and safe operation of the electric driving motor of the articulated dump truck, water cooling system is installed for each motor. For the best performance of the water cooling system, not only the heat transfer should be enhanced to maintain the motor in relatively low temperature, but also the pressure drop in the water cooling system should be reduced to save energy by reducing the power consumption of the pump. In this paper, the numerical simulation of the cooling progress is completed and the temperature and pressure field distribution are obtained. The multi-objective optimization model is established which involves the cooling system structure, temperature field distribution and pressure field distribution. To improve the computational efficiency, the surrogate model of the simulation about the cooling process is established based on the Response Surface Methodology (RSM). After the multi-objective optimization, the Pareto optimal set is obtained. The proper design point, which could make the average temperature and pressure drop of the cooling system relative desirable, is chosen from the Pareto optimal set.

Design and Development of Water Cooling System for Copper Mold

2021 ◽  
pp. 911-919
Author(s):  
Shashikant S. Jadhav ◽  
Avinash K. Parkhe ◽  
Subhash V. Jadhav ◽  
Samadhan J. Shinde
Keyword(s):  
Cooling System ◽  
Water Cooling ◽  
Copper Mold ◽  
Design And Development ◽  
Water Cooling System

scholarly journals Aurantimonas frigidaquae sp. nov., isolated from a water-cooling system

2008 ◽  
Vol 58 (5) ◽  
pp. 1142-1146 ◽  
Author(s):  
M. S. Kim ◽  
K. T. Q. Hoa ◽  
K. S. Baik ◽  
S. C. Park ◽  
C. N. Seong
Keyword(s):  
Cooling System ◽  
Water Cooling ◽  
Water Cooling System

Energy Efficient Control of Parallel Variable-Frequency Pumps in Magnetic Water-Cooling System

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Wenjun Qiu ◽  
Zhengrong Ouyang
Keyword(s):  
Optimal Control ◽  
Control Method ◽  
Cooling System ◽  
Variable Frequency ◽  
Power Model ◽  
Water Cooling ◽  
Centrifugal Pumps ◽  
Pump System ◽  
Shaft Power ◽  
Water Cooling System

Abstract This paper presents an optimal control method for the prediction of parallel centrifugal variable frequency pump performance in any conditions to maximize the total efficiency of the pump system, thereby minimizing energy consumption. First, a theoretical model of parallel water pumping set was established, after which the shaft power model was setup specifically for the off-rating conditions. By combining the typical polynomial fitting method of the efficiency and the shaft power model we brought up, a new optimized control method was proposed. Using this method, the complex optimization task was solved with the optimal control of the operating number selection and speed ratios for parallel variable speed pumps based on the decision-making. The proposed method was subsequently applied to the pumping set of the water-cooling system in High Magnetic Field Facility. The practical testing results of the proposed method showed its superiority over both the primitive and the previous optimal methods, by considerably lowering the power consumption and accurately calculating the performance parameters in any conditions. The method has universality and simplicity for online implementation, which provides a reference for the control methods of parallel centrifugal pumps in variable flow systems with a differential pressure control strategy.

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