Application of Genetic Programming Method Combined with Neural Network in HVAC Optimal Operation

2014 ◽  
Vol 548-549 ◽  
pp. 1030-1034 ◽  
Author(s):  
Ching Wei Chen ◽  
Yung Chung Chang ◽  
Wei Ting Liao ◽  
Cheng Wen Lee
Keyword(s):  
Genetic Programming ◽  
Power Consumption ◽  
Air Conditioning ◽  
Optimal Parameter ◽  
Optimal Operation ◽  
Cooling Load ◽  
Air Conditioning System ◽  
Minimum Power ◽  
Iterative Computation ◽  
Minimum Power Consumption

This study records the various air conditioning system parameters that affect power consumption and establishes system power consumption models for the chiller, the secondary chilled water pump, the air handling unit (AHU), and the cooling load of the AHU using artificial neural networks. The R2 for each of the models are as high as 0.996. Estimations for the AHU loads in the spaces where the cooling load for the AHU are satisfied and genetic programming is used to find the optimal air conditioning system parameter set for achieving minimum power consumption. These power consumption values are then set as genetic programming end points, and the mathematical symbol (+) is used as the functional ends. Finally, the computational elements of genetic programming are used to perform iterative computation. It may be concluded from the results of the experiment that the optimal parameter set obtained from the genetic programming-based search result in a minimum power consumption that complies with the loading requirements of the location of installation result in a 22% savings in term of power consumption and an average COP increase of approximately 28%, which represent very significant improvements.

A multi-objective optimization operation strategy for ice-storage air-conditioning system based on improved firefly algorithm

2021 ◽  
pp. 014362442110455
Author(s):  
Xinwei Zhou ◽  
Junqi Yu ◽  
Wanhu Zhang ◽  
Anjun Zhao ◽  
Min Zhou
Keyword(s):  
Energy Saving ◽  
Economic Benefit ◽  
Air Conditioning ◽  
Firefly Algorithm ◽  
Optimal Operation ◽  
Ice Storage ◽  
Operation Strategy ◽  
Multi Objective Optimization ◽  
Air Conditioning System ◽  
Improved Firefly Algorithm

Reasonable distribution of cooling load between chiller and ice tank is the key to realize the economical and energy-saving operation of ice-storage air-conditioning (ISAC) system. A multi-objective optimization model based on improved firefly algorithm (IFA) was established in this study to fully exploit the energy-saving potential and economic benefit of the ISAC system. The proposed model took the partial load rate of each chiller and the cooling ratio of the ice tank as optimization variables, and the lowest energy consumption loss rate and the lowest operating cost of the ISAC system were calculated. Chaotic logic self-mapping was used to initialize population to avoid falling into local optimum, and Cauchy mutation was used to increase the population’s diversity to improve the algorithm’s global search ability. The experimental results show that compared with the operation strategy based on constant proportion, particle swarm optimization (PSO) algorithm, and firefly algorithm (FA), the optimal operation strategy based on IFA can achieve more significant energy-saving and economic benefits. Meanwhile, the convergence accuracy and stability of the algorithm are significantly improved. Practical application: The optimized operation strategy of the ice-storage air-conditioning system can reduce energy loss and operating costs. The traditional operation strategies have the problems of low optimization precision and poor optimization effect. Therefore, this study presents an optimal operation strategy based on IFA. The convergence accuracy and stability of the algorithm are increased after the algorithm is improved. The operation strategy can get the maximum energy-saving effect and economic benefit of the ISAC system.

scholarly journals Hierarchical Neighborhood Models for Ventilation System

2018 ◽  
Vol 7 (3.5) ◽  
pp. 24 ◽  
Author(s):  
A.M Shmyrin ◽  
N.M Mishachev ◽  
V.V Semina
Keyword(s):  
Air Conditioning ◽  
Ventilation System ◽  
Dust Emission ◽  
Environmental Safety ◽  
Optimal Operation ◽  
Energy Costs ◽  
Air Conditioning System ◽  
Cement Production ◽  
Neighborhood Models ◽  
Production Shop

Considering cement production, we deal with dust, associated with a non-optimal operation of the dust-free ventilation system in the clinker burning department. The optimally organized heating, ventilating, and air conditioning system in any type of production ensures the microclimate of the production premises, corresponding to the sanitary norms and rules, which contribute to the increase of the staff’s efficiency. In this paper, the questions of the neighborhood modeling of the heating, ventilating, and air conditioning system in the premises of the cement production shop are considered. A system for minimizing energy costs and reducing dust emission in the clinker burning shop is proposed, which allows increasing the environmental safety of production. 

EXERGY ANALYSIS OF THE PERFORMANCE OF A VARIABLE REFRIGERANT FLOW (VRF) AIR CONDITIONING SYSTEM

2011 ◽  
Vol 19 (01) ◽  
pp. 57-68 ◽  
Author(s):  
MIGUEL PADILLA
Keyword(s):  
System Performance ◽  
Air Conditioning ◽  
Exergy Analysis ◽  
Control Volume ◽  
Hvac Systems ◽  
Coefficient Of Performance ◽  
Cooling Load ◽  
Air Conditioning System ◽  
Operational Conditions ◽  
Highly Sensitive

Commercial multiple evaporators variable refrigerant flow (VRF) HVAC systems present many advantages such as being energy saving and the capability of adjusting refrigerant mass flow rate according to the change of high rises occurrence. This paper deals with an experimental control volume exergy analysis in a VRF air conditioning system. The experimental results show that the brunt of the total exergy destroyed in the whole system occurs in the outdoor unit, where the exergy destroyed in the condenser is more important. The values of coefficient of performance (COP) obtained for the tests increase as the system reaches operational conditions imposed in every indoor unit zone. The VRF system analyzed is highly sensitive to the action of the constant speed compressor. The use of an inverter compressor improves the system performance by adjusting the power consumption according to the cooling load in the evaporators.

Coupled linkage system optimization for minimum power consumption

2012 ◽  
Vol 26 (4) ◽  
pp. 1099-1106 ◽  
Author(s):  
Kihan Shin ◽  
Sungcheul Lee ◽  
Hyunpyo Shin ◽  
Youngsun Yoo ◽  
Jongwon Kim
Keyword(s):  
Power Consumption ◽  
System Optimization ◽  
Minimum Power ◽  
Minimum Power Consumption
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