Unveiling the potential of solar cooling technologies for sustainable energy and environmental solutions
The escalating growth in the traditional air-conditioning industry has led to an increased
demand for energy. However, this industry has the drawbacks of high energy consumption …
demand for energy. However, this industry has the drawbacks of high energy consumption …
[HTML][HTML] Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization
The optimization of solar energy integration into the power grid relies heavily on accurate
forecasting of solar irradiance. In this study, a new approach for short-term solar irradiance …
forecasting of solar irradiance. In this study, a new approach for short-term solar irradiance …
Energy and exergy analysis of a subfreezing evaporator environment ammonia-water absorption refrigeration cycle: Machine learning and parametric optimization
The coefficient of performance (COP) and exergy efficiency of a single and double-effect
ammonia-water absorption refrigeration system powered by compound parabolic …
ammonia-water absorption refrigeration system powered by compound parabolic …
Utilizing the Kolmogorov-Arnold Networks for chiller energy consumption prediction in commercial building
Accurate prediction of chiller energy consumption is essential for optimizing energy usage
and reducing operational costs in commercial buildings. Traditional predictive methods often …
and reducing operational costs in commercial buildings. Traditional predictive methods often …
Integration and optimization of a waste heat driven organic rankine cycle for power generation in wastewater treatment plants
The study focuses on achieving energy self-sufficiency in Wastewater Treatment Plants by
proposing a comprehensive model for integrating, sizing, and optimizing an Organic …
proposing a comprehensive model for integrating, sizing, and optimizing an Organic …
A review of axial and radial ejectors: Geometric design, computational analysis, performance, and machine learning approaches
This review examines the critical role of ejectors in refrigeration systems, emphasizing the
need for a deeper understanding of their performance characteristics, particularly through a …
need for a deeper understanding of their performance characteristics, particularly through a …
Chiller energy prediction in commercial building: A metaheuristic-Enhanced deep learning approach
Chiller systems hold a critical role in upholding comfort and energy efficiency within
commercial buildings. Precise prediction of chiller energy consumption is imperative for …
commercial buildings. Precise prediction of chiller energy consumption is imperative for …
[HTML][HTML] Performance evaluation of supersonic flow for variable geometry radial ejector through CFD models based on DES-turbulence models, GPR machine …
This study aims to derive valuable insights for utilizing computational fluid dynamics (CFD)
based on reynolds-averaged navier–stokes (RANS) and detached eddy simulation (DES) …
based on reynolds-averaged navier–stokes (RANS) and detached eddy simulation (DES) …
Combined effect of silicon dioxide and titanium dioxide nanoparticles on concrete properties
Nanoconcrete is an attractive research area because of its recent practical applications in
building materials technologies. This study investigates the individual and combined effects …
building materials technologies. This study investigates the individual and combined effects …
Maximizing efficiency in solar ammonia–water absorption refrigeration cycles: Exergy analysis, concentration impact, and advanced optimization with GBRT machine …
A detailed analysis of energy and exergy is conducted on a single-effect solar ammonia–
water (NH 3–H 2 O) absorption refrigeration cycle (ARC) using TRNSYS and EES software …
water (NH 3–H 2 O) absorption refrigeration cycle (ARC) using TRNSYS and EES software …