[HTML][HTML] Optimal operation of evaporative cooling pads: A review

A Tejero-González, A Franco-Salas - Renewable and Sustainable Energy …, 2021 - Elsevier
Direct evaporative cooling is widely known for being an energy efficient air conditioning
solution for arid and/or semi-arid climates. Commercialized evaporative cooling pads vary in …

[HTML][HTML] A review of using solar energy for cooling systems: applications, challenges, and effects

FL Rashid, MA Eleiwi, HI Mohammed, A Ameen… - Energies, 2023 - mdpi.com
Energy security refers to a country's capacity to provide the energy resources essential to its
wellbeing, including a reliable supply at an affordable costs. Economic growth and …

Design challenges of agricultural greenhouses in hot and arid environments A review

S Ghani, F Bakochristou, EMAA ElBialy… - … Environment and Food, 2019 - jstage.jst.go.jp
Protected Agriculture (PA) presents a sustainable solution for food production in hot and arid
environments. Harsh climate and the water deficit are obstacles to all year round cultivation …

Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

A Sohani, S Hoseinzadeh, S Samiezadeh… - Journal of Thermal …, 2022 - Springer
An enhanced design for a solar still desalination system which has been proposed in the
previously conducted study of the research team is considered here, and the experimental …

Comparative study of the conventional types of heat and mass exchangers to achieve the best design of dew point evaporative coolers at diverse climatic conditions

A Sohani, H Sayyaadi… - Energy conversion and …, 2018 - Elsevier
The objective of this research is a comparative analysis of various kinds of heat and mass
exchangers of dew point indirect evaporative cooler. Considering three key performance …

[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 …

Thermo-electro-environmental analysis of a photovoltaic solar panel using machine learning and real-time data for smart and sustainable energy generation

A Sohani, H Sayyaadi, SR Miremadi… - Journal of Cleaner …, 2022 - Elsevier
The impact of meteorological parameters, including ambient temperature, wind velocity,
ambient relative humidity, and solar radiation on photocurrent and thermal voltage of diode …

Employing genetic programming to find the best correlation to predict temperature of solar photovoltaic panels

A Sohani, H Sayyaadi - Energy Conversion and Management, 2020 - Elsevier
The best function form to predict the panel's temperature (T panel) is found for a product
family of polycrystalline solar panels, with the nominal capacities of 20, 30, 40, 50, 60, 80 …

[HTML][HTML] Deep learning model and classification explainability of renewable energy-driven membrane desalination system using evaporative cooler

H Salem, IM El-Hasnony, AE Kabeel… - Alexandria Engineering …, 2022 - Elsevier
Recently, the scientific community has become more interested in solar-driven steam
materials and systems for desalination and disinfection. Solar thermal energy for membrane …

Application of artificial neural network for predicting performance of solid desiccant cooling systems–A review

DB Jani, M Mishra, PK Sahoo - Renewable and Sustainable Energy …, 2017 - Elsevier
In present study, an attempt has been made to review the applications of artificial neural
network (ANN) for predicting the performance of solid desiccant cooling systems. Different …