Membrane distillation (MD) hybrids have the potential to integrate heat recovery
mechanisms, enhancing freshwater productivity and minimizing specific energy …

At present, artificial intelligence methods have been effectively utilized for predicting the
complex performance of storage-based solar thermal technologies for cooling/heating …

Solar thermal selective coatings (STSCs) are crucial for enhancing the thermal efficiency of
receivers in solar power applications. Enhancing the photothermal conversion performance …

This paper endeavors to utilize the numerical modeling method to evaluate the energy,
economic, and environmental performances of a new hybrid PV-FC system for green …

This research introduces a microclimate solar cooling system to enhance human thermal
comfort and reduce electrical grid energy-based consumption. A novel solar photovoltaic …

Building integrated photovoltaic thermal (BIPV/T) systems offer a highly effective means of
generating clean energy for both electricity and heating purposes in residential buildings …

Artificial intelligence (AI) methods are currently being utilized to efficiently predict diesel
engine performance, offering reduced complexity and shorter computation times. This study …

This paper presents the design of a high-voltage pulse-based radar and a supervised data
processing method for soil moisture estimation. The goal of this research was to design a …

Dust and rainfall have been key issues affecting outdoor solar concentrating systems. This
study aimed to accurately evaluate the specific effects of dust and rainfall on linear Fresnel …

Power tower concentrated solar power systems integrated with thermal energy storage
systems offer promising solutions for reliable and cost-effective energy production. This …