Modeling techniques used in building HVAC control systems: A review

Z Afroz, GM Shafiullah, T Urmee, G Higgins - Renewable and sustainable …, 2018 - Elsevier
The appropriate application of advanced control strategies in Heating, Ventilation, and Air-
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …

Application of ANN technique to predict the performance of solar collector systems-A review

HK Ghritlahre, RK Prasad - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
The solar collector is the heart of any solar energy collection system designed for operation
in the low to medium temperature ranges. So, an efficient design of solar collector system …

Solar-powered absorption chillers: A comprehensive and critical review

A Shirazi, RA Taylor, GL Morrison, SD White - Energy conversion and …, 2018 - Elsevier
Solar heating and cooling (SHC) systems are currently under rapid development and
deployment due to their potential to reduce fossil fuel use and to alleviate greenhouse gas …

Applications of artificial neural networks for thermal analysis of heat exchangers–a review

M Mohanraj, S Jayaraj, C Muraleedharan - International Journal of Thermal …, 2015 - Elsevier
Artificial neural networks (ANN) have been widely used for thermal analysis of heat
exchangers during the last two decades. In this paper, the applications of ANN for thermal …

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 …

[HTML][HTML] Machine learning-based process design of a novel sustainable cooling system

MA Jamil, WM Ashraf, N Imtiaz, BB Xu… - Energy Conversion and …, 2024 - Elsevier
An exponential rise in cooling requirements occurred in the last few years because of rising
global surface temperatures, population growth, faster urbanization, and income growth …

Machine learning based simultaneous control of air handling unit discharge air and condenser water temperatures set-point for minimized cooling energy in an office …

HJ Jee, SH Yeon, J Park, Y Yoon, KH Lee - Energy and Buildings, 2023 - Elsevier
In this study, an artificial intelligence based real-time prediction and control model to
optimize condenser water temperature and discharge air temperature (DAT) set-points in …

Application of ANN model to predict the performance of solar air heater using relevant input parameters

HK Ghritlahre, P Chandrakar, A Ahmad - Sustainable Energy Technologies …, 2020 - Elsevier
In this study, the thermal performance of solar air heater (SAH) has been predicted using
artificial neural network (ANN) with relevant input parameters. To complete this aim, two …

[HTML][HTML] Cooling tower modeling based on machine learning approaches: Application to Zero Liquid Discharge in desalination processes

MC Bueso, AP de Nicolás, F Vera-García… - Applied Thermal …, 2024 - Elsevier
In recent years, increased emphasis has been placed on the challenge of brine disposal,
driven by a heightened awareness of substantial environmental concerns associated with …

Optimization of the circulating cooling water mass flow in indirect dry cooling system of thermal power unit using artificial neural network based on genetic algorithm

W Zhang, L Ma, B Jia, Z Zhang, Y Liu, L Duan - Applied Thermal …, 2023 - Elsevier
The power consumption of circulating pumps can be effectively reduced by optimizing the
circulating cooling water mass flow rate in indirect dry cooling system of a thermal power …