Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review
M Mohanraj, S Jayaraj, C Muraleedharan - Renewable and sustainable …, 2012 - Elsevier
In this paper, an attempt has been made to review the applications of artificial neural
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …
Comparison of different deep neural network architectures for isothermal indoor airflow prediction
Q Zhou, R Ooka - Building simulation, 2020 - Springer
The rising awareness about energy conservation calls for more energy-efficient designs of
heating, ventilation and air-conditioning (HVAC) systems and advanced control strategies. A …
heating, ventilation and air-conditioning (HVAC) systems and advanced control strategies. A …
Deep encoder–decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling
Conjugate heat transfer (CHT) analyses are vital for the design of many energy systems.
However, high-fidelity CHT numerical simulations are computationally intensive, which limits …
However, high-fidelity CHT numerical simulations are computationally intensive, which limits …
[HTML][HTML] CFD analysis for predicting cooling time of a domestic refrigerator with thermoelectric cooling system
Abstract In this work, Computational Fluid Dynamics (CFD) analysis was conducted
considering three different turbulence (viscous) models for a fresh food compartment of a …
considering three different turbulence (viscous) models for a fresh food compartment of a …
Non-Newtonian fluid flow dynamics in rotating annular media: Physics-based and data-driven modeling
A thorough understanding and accurate prediction of non-Newtonian fluid flow dynamics in
rotating annular media are of paramount importance to numerous engineering applications …
rotating annular media are of paramount importance to numerous engineering applications …
Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution
Q Zhou, R Ooka - Energy and Buildings, 2021 - Elsevier
The indoor environment is important to the daily lives of humans. Fast and accurate
prediction of indoor environments is desirable with regard to practical applications, such as …
prediction of indoor environments is desirable with regard to practical applications, such as …
Reconstruction of natural convection within an enclosure using deep neural network
T Wang, Z Huang, Z Sun, G Xi - International Journal of Heat and Mass …, 2021 - Elsevier
The deep neural network (DNN) is an extensively used technique to fit the high dimensional
data. Fluid flow and heat transfer in macroscale are one of the complex physical phenomena …
data. Fluid flow and heat transfer in macroscale are one of the complex physical phenomena …
1D/3D transient HVAC thermal modeling of an off-highway machinery cabin using CFD-ANN hybrid method
A comprehensive thermal model of a combine harvester air conditioning system is
developed to study the transient cool-down phenomena in the cabin. The proposed …
developed to study the transient cool-down phenomena in the cabin. The proposed …
Optimization of geothermal energy aided absorption refrigeration system—GAARS: A novel ANN-based approach
The aim of this study is to optimize the geothermal energy aided absorption refrigeration
system using NH 3–H 2 O as the working fluid. A total of 3660 different designs, with different …
system using NH 3–H 2 O as the working fluid. A total of 3660 different designs, with different …
Numerical (CFD) and experimental analysis of hybrid household refrigerator including thermoelectric and vapour compression cooling systems
Numerical and experimental analysis of a previously investigated hybrid household
refrigerator (HHR), HHR I, were conducted in this study. To determine the optimum location …
refrigerator (HHR), HHR I, were conducted in this study. To determine the optimum location …