arXiv e-Print archive
Explore cutting-edge research and innovations in various scientific fields with this comprehensive archive of e-prints and preprints.
Explore cutting-edge research and innovations in various scientific fields with this comprehensive archive of e-prints and preprints.
The present paper provides a novel hybrid computational framework that integrates Computational Fluid Dynamics (CFD) with advanced machine learning techniques to optimize
Computational Fluid Dynamic (CFD) is the best means at calculating spatial values for temperature, air velocity and air flow directions within the battery energy storage system.
The present paper provides a novel hybrid computational framework that integrates Computational Fluid Dynamics (CFD) with advanced machine learning techniques to optimize solar
Here, a compact thermal energy storage (CTES) system with two heat transfer fluid plates and one rib-enhanced PCM plate was investigated to minimize the response time.
This study analyses the thermal performance and optimizes the thermal management system of a 1540 kWh containerized energy storage battery system using CFD techniques. The
Sensible heat storage is a possible way to store the thermal energy for CSP systems and it can be implemented by liquid or solid storage media, as well as the latent heat storage through phase
Thermal energy storage is indeed a valuable solution for addressing the time lag or mismatch between energy supply and demand. The study aims to computationally model the melting
It focuses on an analysis of the literature concerning the design of thermal storage units, with an emphasis on the use of computational fluid dynamics (CFD) as a research tool.
This article reviews selected solar energy systems that utilize solar energy for heat generation and storage. Particular attention is given to research on individual components of these
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