Abstract In the present study, geometry optimization of a phase change material (PCM) heat storage system is presented. The existing PCM-fins heat exchanger system works
The article focuses on design optimization using computational fluid dynamics (CFD). Design implies the creation of an engineering prototype (e. g., a pump) or engineering process (e. g.,
2 天之前· To address the limitations of traditional design methods in meeting the increasingly stringent thermal requirements of lithium-ion battery thermal management systems (BTMS),
Optimization of nano-finned enclosure-shaped latent heat thermal energy storage units using CFD, RSM, and enhanced hill climbing algorithm Tao Hai1,2, Ihab Omar3, As''ad Alizadeh4,5,
The storage tank geometrical optimization resulted in an increase of 9.6 % and 22.7 % in the stored and recovered energy, respectively. This optimization also indicated
Design of LHTES systems involves selection of geometric parameters and operating conditions that provide for maximum heat transfer with a minimum pressure drop. Numerical modelling
This research presents an innovative approach that integrates computational fluid dynamics (CFD) and machine learning (ML) for the design and optimization of thermal energy
This study investigates using fins to enhance heat transfer in a cylindrical thermal energy storage system with phase change materials (PCMs). The researchers
Optimization of Nano-Additive Characteristics to Improve the Efficiency of a Shell and Tube Thermal Energy Storage System Using a Hybrid Procedure: DOE, ANN, MCDM, MOO, and
These findings provide valuable insights into the design and optimization of advanced LHTES units for enhanced thermal energy management.
Altering the battery spacing is the most direct and useful optimization strategy, however, to obtain a better thermal performance of air-cooled BTMS, other optimization
The simulation results show an acceptable agreement with the experimental data with an average deviation of 4.80% and 2.04% for phase-I and phase-II, respectively. The
The design is analysed by using CFD analysis with the commercial software Ansys CFX in both pump and turbine mode of operation to assess if the performance
Thermal stratification is a common and natural phenomenon in energy storage tanks. This paper presents a Computational Fluid Dynamics (CFD) analysis of thermal
Energy storage system (ESS) deployments in recent times have effectively resolved these concerns. To contribute to the body of knowledge regarding the optimization of
Secondly, the progress of CFD technology in structural design and optimization, performance evaluation, and system operation of thermal storage pits was elaborated in detail.
Using high performance computing and computational fluid dynamics (CFD) a low-cost molten sulfur thermal energy storage (TES) system for industrial process heating (IPH) applications
A successful and reasonable capacity configuration and scheduling strategy is beneficial and significant. This paper studies the optimal design for fast EV charging stations
The study aimed to provide insights into the design and optimization of latent heat storage systems for various applications, including thermal energy storage in solar and
The objective is to improve the time span of charging and discharging, as well as minimize heat loss during storage. Five different models with varying geometries and heat
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
By integrating CFD and ML techniques, the present study aims to optimize the design and performance of finned pipe hybrid PCM systems. Beyond passive heat transfer
Using high performance computing and computational fluid dynamics (CFD) a low-cost molten sulfur thermal energy storage (TES) system for industrial process heating
A latent heat storage system to store available energy, to control excess heat generation and its management has gained vital importance due to its retrieve possibility. The
The storage tank geometrical optimization resulted in an increase of 9.6 % and 22.7 % in the stored and recovered energy, respectively. This optimization also indicated enhancement in
The design optimization of water basins for the refrigeration of intermittent high-power heat sources, by mean of CFD simulations, is presented. A case study of an
Abstract Phase-change materials (PCMs) have a remarkable potential for use as efficient energy storage means. However, their poor response rates during energy storage
The increasing popularity of lithium-ion battery systems, particularly in electric vehicles and energy storage systems, has gained broad research interest
This study proposes an adiabatic compressed air energy storage system that integrates sliding pressure operation with packed bed thermal energy storage. A one
Abstract Among various types of solar collectors, evacuated tube solar collector (ETC) has attracted much attention, especially for their application in solar water heating systems
Thermocline thermal storages are widely used in energy systems. Computational Fluid Dynamic (CFD) can be used for an accurate simulation of the physical phenomenon but
The storage tank geometrical optimization resulted in an increase of 9.6 % and 22.7 % in the stored and recovered energy, respectively. This optimization also indicated
Performance optimization of latent heat storage device based on surrogate-assisted multi-objective evolutionary algorithm and CFD method
Therefore, we analyzed the airflow organization and battery surface temperature distribution of a 1540 kWh containerized energy storage battery system using CFD simulation technology. Initially, we validated the feasibility of the simulation method by comparing experimental results with numerical ones.
Various optimization methods have been applied in the optimization of energy systems. Fire hawk optimizer , golden jackal optimizer , hummingbird optimizer , and moth-flame optimizer have been used for helical heat exchangers, solar stills with air cavity, and even desalination, including reverse osmosis.
Computation Fluid Dynamics (CFD) is a practical tool for investigating thermal properties and simulating multiple physics fields . CFD simulations could provide detailed information about the electrical and thermal areas inside the battery during the work process that is often challenging to assess and extract by experimental approaches.
The optimized compressor, employing inlet guide vane adjustment, mass flow control, and speed regulation, achieves an adiabatic efficiency of over 84.4% under off-design conditions. Furthermore, the packed bed thermal energy storage in sliding pressure mode has higher efficiency compared to constant pressure operation.
The present modelling framework demonstrates an innovative approach to utilizing high-fidelity electro-thermal/CFD numerical inputs for ANN optimization, potentially enhancing the state-of-art thermal management and reducing the risks of thermal runaway and fire outbreaks. 1. Introduction
General performance model requires less data and is therefore more commonly used in previous studies. Guo et al. established a model of the adiabatic compressed air energy storage (A-CAES) system based on general performance model, explored the loss distribution of each part of the system, and optimized the operation mode.
