Application of genetic algorithm to the optimal-chilled water supply temperature calculation of air-conditioning systems for saving energy

2007 ◽  
Vol 31 (8) ◽  
pp. 796-810 ◽  
Author(s):  
Yung-Chung Chang
Keyword(s):  
Genetic Algorithm ◽  
Water Supply ◽  
Air Conditioning ◽  
Saving Energy ◽  
Temperature Calculation ◽  
Chilled Water ◽  
Air Conditioning Systems

scholarly journals Distributed Pumping Chilled Water Hydronic System for Air-conditioning Systems

2017 ◽  
Vol 143 ◽  
pp. 88-93
Author(s):  
Sam K.H. Lam ◽  
Chris Tham ◽  
Sunil Saseedharan ◽  
Liong Yin Chun ◽  
Adrian Wang
Keyword(s):  
Air Conditioning ◽  
Chilled Water ◽  
Air Conditioning Systems

scholarly journals Data Analysis and Modeling of Chilled Water Loops in Air Conditioning Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Zhida Zhao ◽  
Nanyang Yu ◽  
Tao Yu ◽  
Haofei Zhang
Keyword(s):  
Air Conditioning ◽  
Training Data ◽  
Local Optimum ◽  
Ann Model ◽  
Nonlinear Variation ◽  
Mean Squared Errors ◽  
Chilled Water ◽  
Air Conditioning Systems ◽  
Speed Simulation

Artificial neural network has been widely used in air conditioning systems as an effective method for predicting parameters, and the accuracy of ANN model relies on training data and network structure. In order to increase the quality of chilled water loops model, this paper develops an optimal data processing algorithm combining Kalman filtering with particle swarm optimization to compensate for uncertain factors and disturbances of collected data from the case building and establishes the nonlinear variation trend database. Based on Elman and BP neural networks, this paper proposes the improved network structures to avoid the local optimum predicted value of chilled water loops and increase data training speed. Simulation results show that this algorithm improves the data accuracy of current percentage (CP) of chillers and chilled water temperatures 12% and 9%. Compared with Elman and BP models, mean absolute errors of CP improved models are improved 24.1% and 10.3%, and mean squared errors of water temperature improved models are improved 5.2% and 4.8%. For the purpose of energy conservation control in air conditioning systems, this work has an application value and can be used for predicting other parameters of buildings.

scholarly journals Support Vector Regression and Genetic Algorithm for HVAC Optimal Operation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Ching-Wei Chen ◽  
Yung-Chung Chang
Keyword(s):  
Genetic Algorithm ◽  
Power Consumption ◽  
Air Conditioning ◽  
Support Vector ◽  
Operating Parameters ◽  
Cooling Load ◽  
Unit Load ◽  
Air Handling Unit ◽  
Consumption Model ◽  
Air Conditioning Systems

This study covers records of various parameters affecting the power consumption of air-conditioning systems. Using the Support Vector Machine (SVM), the chiller power consumption model, secondary chilled water pump power consumption model, air handling unit fan power consumption model, and air handling unit load model were established. In addition, it was found thatR2of the models all reached 0.998, and the training time was far shorter than that of the neural network. Through genetic programming, a combination of operating parameters with the least power consumption of air conditioning operation was searched. Moreover, the air handling unit load in line with the air conditioning cooling load was predicted. The experimental results show that for the combination of operating parameters with the least power consumption in line with the cooling load obtained through genetic algorithm search, the power consumption of the air conditioning systems under said combination of operating parameters was reduced by 22% compared to the fixed operating parameters, thus indicating significant energy efficiency.

scholarly journals Experimental studies of energy efficiency of heat pump equipment for hot water supply and air conditioning systems in apartment buildings

2021 ◽  
Vol 937 (4) ◽  
pp. 042037
Author(s):  
Gregory Vasilyev ◽  
Victor Gornov ◽  
Marina Kolesova ◽  
Vitaliy Leskov ◽  
Victoria Silaeva ◽  
...  
Keyword(s):  
Water Supply ◽  
Heat Pump ◽  
Air Conditioning ◽  
Energy Savings ◽  
Experimental Studies ◽  
Hot Water ◽  
Apartment Buildings ◽  
Pump Equipment ◽  
Hot Water Supply ◽  
Air Conditioning Systems

Abstract Experimental studies of this article are aimed at solving the problem of reforming the housing and communal services of Russia through rational integration of non-traditional energy sources and secondary energy resources into the energy balance of buildings and structures. An important component of the work was the creation and development of industrial production of reliable competitive heat pump systems of a new generation, cogenerating heat energy and cold in an autonomous mode and providing energy savings of at least 50% due to the combined use of low-potential thermal energy of the soil, the atmospheric air and the exhaust air of ventilation systems for hot water supply and air conditioning systems of apartment buildings.

Experimental Study on Solar Energy and Adsorption Radiation Air Conditioning System

2013 ◽  
Vol 448-453 ◽  
pp. 1555-1558
Author(s):  
Amin Ji ◽  
Chang Jiang Wang ◽  
Yan Yu ◽  
Chun Ying Zhang ◽  
Tian Tian
Keyword(s):  
Water Supply ◽  
Flow Rate ◽  
Air Conditioning ◽  
Room Temperature ◽  
Temperature Curve ◽  
Adsorption Refrigeration ◽  
Air Conditioning System ◽  
Optimal Flow ◽  
Radiant Cooling ◽  
Chilled Water

This paper discusses the principles of solar adsorption refrigeration and the characteristics of air conditioning radiation, designs solar adsorbent bed with activated carbon - methanol as working pair and its accompanying condenser, evaporator, radiant cooling tubes and other equipment. Through experiments, it changes water supply by change flow rate of chilled water, in order to get chilled water supply and return water temperature and room temperature curve. To analysis COP value of system under different flow rate of chilled water, and get the optimal flow rate of chilled water supply.

scholarly journals Theoretical Prediction of Optimum Chilled Water Distribution Configuration in Air Conditioning Terminal Unit

2019 ◽  
Vol 14 (2) ◽  
pp. 137-146
Author(s):  
Ahmed Abd Mohammed Saleh ◽  
Ali Reyadh Shabeeb
Keyword(s):  
Standard Deviation ◽  
Water Supply ◽  
Water Flow ◽  
Flow Rate ◽  
Air Conditioning ◽  
Water Flow Rate ◽  
Total Water ◽  
Terminal Unit ◽  
Chilled Water ◽  
Valve Opening

 The distribution of chilled water flow rate in terminal unit is a major factor used to evaluate the performance of central air conditioning unit. In this work, a theoretical chilled water distribution in the terminal units has been studied to predict the optimum heat performance of terminal unit. The central Air-conditioning unit model consists of cooling/ heating coil (three units), chilled water source (chiller), three-way and two-way valve with bypass, piping network, and pump. The term of optimization in terminal unit ingredient has two categories, the first is the uniform of the water flow rate representing in statically permanents standard deviation (minimum value) and the second category is the maximum heat transfer rate from all terminal units. The hydraulic and energy equations governing the performance of unit solved with the aid of FORTRAN code with considering the following parameters: total water flow rate, chilled water supply temperature, and variable valve opening. It was found that the optimum solution of three-way valve case at 8°C water supply temperature, 0.12 kg/s total water flow rate and valve opening order (valve 1: 100%, valve 2: 100% and valve 3: 75%) with total heat rate (987.92 Watt) and standard deviation (1.181E-3). Also, for the two-way valve case the results showed that the optimum condition at 8°C water supply temperature, 0.12 kg/s total water flow rate and valve opening order (valve 1: 75%, valve 2: 75% and valve 3: 50%) with total heat rate and standard deviation (717Watt) and (5.69E-4) respectively.

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