Abstract Machine learning models effectively forecast and improve engineering systems as
solar dryers, making them valuable replacements for traditional physics-based models. Also …

In this research work, an innovative heat dissipation method integrated into a solar
photovoltaic thermal (PV/T) air collector is numerically evaluated with a new methodology …

In this study, the single-stage ammonia–water (NH 3–H 2 O) absorption cooling system
driven by low solar radiation was designed for the residential use. The proposed system was …

This research study presents the development of a digital twin model using artificial neural
networks and global sensitivity analysis to estimate different exergy sustainability indicators …

The world's population is projected to increase, impacting a 60% rise in food production
demand by 2050, including the demand for maize. Currently, maize production is estimated …

This study presents the analysis of energy, exergy, exergy–economic, and exergy–
environment (4E Analysis) and optimizes a modified waste incineration combined cycle …

Flat plate solar collectors are technology with the most solar thermal energy field
applications, and different studies based on artificial intelligence have been used to model …

The increased demand for energy consumption for air conditioning, due to rising
temperatures, has created challenges related to thermal comfort in residential environments …

Solar heat is an attractive alternative in industrial processes. However, the intermittent and
stochastic nature of solar energy necessitates the use of heat storage systems to bridge the …

Developing sustainable industries requires the integration of new technologies and
methodologies that optimize resources and reduce environmental impacts. The new trend of …