Inicio  /  Applied Sciences  /  Vol: 13 Par: 8 (2023)  /  Artículo

Research on Air-Conditioning Cooling Load Correction and Its Application Based on Clustering and LSTM Algorithm

Honglian Li    
Li Shang    
Chengwang Li and Jiaxiang Lei    


Climate change and urban heat island effects affect the energy consumption of buildings in urban heat islands. In order to meet the requirements of engineering applications for detailed daily design parameters for air conditioning, the 15-year summer meteorological data for Beijing and Shanghai and the corresponding average heat island intensity data were analyzed. Using the CRITIC objective weighting method and K-means clustering analysis, the hourly change coefficient, ß, of dry bulb temperature was calculated, and the LSTM algorithm was used to predict the changing trends in ß. Finally, the air conditioning load model for a hospital was established using DeST (version DeST3.0 1.0.2107.14 20220712) software, and the air conditioning cooling load in summer was calculated and predicted. The results show that, compared with the original design days, regional differences in the new design days are more obvious, the maximum temperature and time have changed, and the design days parameters are more consistent with the local meteorological conditions. Design day temperatures in Shanghai are expected to continue rising for some time to come, while those in Beijing are expected to gradually return to previous levels. Among hospital buildings, the cooling load of outpatient buildings in Beijing and Shanghai will decrease by 0.69% and increase by 12.61% and by 12.12% and 15.51%, respectively, under the influence of the heat island effect. It is predicted to decrease by 1.35% and increase by 29.75%, respectively, in future. The cooling load of inpatient buildings in Beijing and Shanghai increased by 0.27% and 6.71%, respectively, and increased by 7.13% and 8.09%, respectively, under the influence of the heat island effect, and is predicted to decrease by 0.93% and increase by 16.07%, respectively, in future.

 Artículos similares

Victor Martinez-Viol, Eva M. Urbano, Jose E. Torres Rangel, Miguel Delgado-Prieto and Luis Romeral    
Heating, ventilation and air-conditioning (HVAC) systems are the major energy consumers among buildings? equipment. Reliable fault detection and diagnosis schemes can effectively reduce their energy consumption and maintenance costs. In this respect, dat... ver más
Revista: Applied Sciences

Giacomo Bagarella, Filippo Busato, Francesco Castellotti, Andrea D?Ascanio, Renato Lazzarin, Fabio Minchio, Daniele Nardotto, Marco Noro and Lorenzo Zamboni    
At the Department of Management and Engineering (DTG) of the University of Padova (Italy), the research team led by Prof. Renato Lazzarin, formed by the authors, worked during the first fifteen years of the millennium on different topics focused on susta... ver más
Revista: Applied Sciences

Song He, Wang Chen, Wansheng Yang and Xudong Zhao    
Air conditioning energy consumption accounts for most building energy consumption, indoor dehumidification is the main cause of air conditioning energy consumption. Optimize the dehumidification methods of air conditioning systems have great significance... ver más
Revista: Applied Sciences

Liping Zeng, Xing Liu, Quan Zhang, Jun Yi, Xianglong Liu and Huan Su    
This paper deals with the heat transfer performance of a micro-channel backplane heat pipe air conditioning system. The optimal range of the filling rate of a micro-channel backplane heat pipe air conditioning system was determined in the range of 65?75%... ver más
Revista: Applied Sciences

Muhammad Mujahid Rafique    
The reduction of carbon dioxide emissions has become a need of the day to overcome different environmental issues and challenges. The use of alternative and renewable-based technologies is one of the options to achieve the target of sustainable developme... ver más