Convolutional Neural Networks for Predicting Energy Efficiency of Air Conditioning Systems

Author(s):  
Supitchaya Kittisarakul ◽  
David Banjerdpongchai
Author(s):  
V. Stepanenko ◽  
Y. Veremiichuk

The implementation of an integrated energy supply system is an effective way to increase energy efficiency, reduce CO2 emissions and increase the use of renewable energy, as well as provide opportunities for energy production, conversion and storage in interconnected infrastructures for energy system operators and consumers. Also, increasing the level of energy efficiency of the energy supply system is one of the important strategies to slow down the growth of demand and mitigate the negative impact on health, the economy and the environment. The article considers the integrated use of energy, the introduction of energy hubs as part of future energy networks and proposes a schematic diagram of an integrated energy supply system. The article presents the results of modeling and computational experiment of ventilation and air conditioning systems in the integrated power supply system, taking into account the technical and operational characteristics of SES, regulatory and technical documents and building codes. According to the results of the study, it is established that the schedule of SES generation and the schedule of electricity consumption by ventilation and air conditioning systems are similar, which leads to a reduction in operating costs and a reduction in the load on the building's power supply system. The scientific substantiation of the integration of the energy storage system into the energy supply structure has been further developed, which will ensure the reliability of the power supply and the efficiency of the solar power plant.


Author(s):  
Jorge Israel Anchundia-Santana ◽  
Julieta Evangelina Sánchez-Cano ◽  
Washington Garcia-Quilachamin ◽  
Evelyn Isabel Santana-Mantuano

The constant growth of the world’s population has generated various changes in the use of the diversity of the resources provided to us by the planet. Considering that by properly managing energy in air conditioning systems correctly, it collaborates in the fight against climate change, reducing the excessive use of fossil fuels and, therefore, the emission of CO2 and other greenhouse gases, creating an environment of comfort in industrial sectors, businesses, companies, homes, among others. The objective of this research is to validate the instrument considering the information obtained about smart devices applied in air conditioning systems and their improvement in energy efficiency. The methodology applied consisted of a field study conducted through an online survey that was directed at 226 students and professionals from three provinces of the Republic of Ecuador. To validate the data obtained in the instrument, the exploratory factor analysis was performed also of the principal components in the last phase it was obtained in factor transformation matrix (0.986), which demonstrates the validity of the study. To apply the KMO test and Bartlett’s sphericity, the following ranges (≥0.6) y (<0.05) were considered respectively.


Author(s):  
N. S. Ponomarev ◽  
◽  
A. Yu. Martianova ◽  
Yu. A. Dmitriev ◽  
◽  
...  

Blade server architecture is widely used as server hardware for datacenters. This article proposes methods for calculating thermal radiation from blade servers at the design and operation stages. In particular, the method for calculating heat gain at the design stage can be used to select equipment for the air conditioning system. The method for calculating heat gains at the operational stage with the current load of IT equipment can be useful for analyzing the operation of existing air conditioning systems or analyzing the energy efficiency of IT equipment in a specification.


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