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 …

The refrigeration industry is an energy-intensive sector. Increasing the efficiency of industrial
refrigeration systems is crucial for reducing production costs and minimizing CO2 emissions …

In this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral
loop of flexible plastic pipe) type ground heat exchanger (GHE) was established for a solar …

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 …

The purpose of this study is to experimentally analyse the performance and the pollutant
emissions of a four-stroke SI engine operating on ethanol–gasoline blends of 0%, 5%, 10 …

This study deals with artificial neural network (ANN) modeling of a diesel engine using
waste cooking biodiesel fuel to predict the brake power, torque, specific fuel consumption …

Abstract Machine learning (ML) offers a variety of techniques to understand many complex
problems in different fields. The field of heat transfer, and thermal systems in general, are …

There has been increasing demand for materials with functional thermal properties, but
traditional experiments and simulations are high-cost and time-consuming. The emerging …

This paper describes the applicability of artificial neural networks (ANNs) to predict
performance of a horizontal ground-coupled heat pump (GCHP) system. Performance …

Nanostructured magnetic suspensions have superior thermophysical properties, which have
attracted widespread attention owing to their industrial applications for heat transfer …