The Impact of Supercooling on the Effective Cooling Storage Capacity of Phase-Change Materials in Natural Cooling Application

2009 ◽  
Author(s):  
Jianlei Niu ◽  
Shuo Zhang
Keyword(s):  
Phase Change Materials ◽  
Storage Capacity ◽  
Storage System ◽  
Daily Basis ◽  
Passive Cooling ◽  
Ice Storage ◽  
Latent Heat Storage ◽  
Storage Media ◽  
Building Cooling ◽  
The Impact

Ice storage is currently the dominant cooling energy storage method. To more effectively utilize natural, renewable cooling sources, such as evaporative cooling and sky-radiative cooling, diurnal storage media operated on daily basis at the temperate range between 10 and 20 °C are the most desirable. In this paper, we presented our experimental investigation of micro-encapsulated paraffin slurry as cooling storage media for building cooling applications. The water slurry of micro-encapsulated N-hexadecane with a melting temperature of 18 °C were cooled to 5 °C and heated to 25 °C cyclically in a storage tank of 230 litre, and it was observed that full latent heat storage can only be realized at 5 °C due to supercooling, and the effective cooling storage capacity at the cooling temperature between 5 and 18 °C are obtained, which can be used to for cooling storage system design with various passive cooling possibilities.

scholarly journals Performance Improvement of a Household Refrigerator using Phase Change Material

2021 ◽  
Vol 16 (1) ◽  
pp. 032-041
Author(s):  
Pradeep N ◽  
Somesh Subramanian S
Keyword(s):  
Energy Storage ◽  
Phase Change ◽  
Phase Change Material ◽  
Phase Change Materials ◽  
Energy Savings ◽  
Storage System ◽  
Thermal Storage ◽  
Latent Heat Storage ◽  
Peak Loads ◽  
Change Material

Thermal energy storage through phase change material has been used for wide applications in the field of air conditioning and refrigeration. The specific use of this thermal storage has been for energy storage during low demand and release of this energy during peak loads with potential to provide energy savings due to this. The principle of latent heat storage using phase change materials (PCMs) can be incorporated into a thermal storage system suitable for using deep freezers. The evaporator is covered with another box which has storage capacity or passage through phase change material. The results revealed that the performance is increased from 3.2 to 3.5 by using PCM.

Numerical and Experimental Analysis of a PCM Thermal Storage System

2014 ◽  
Author(s):  
Adriano Sciacovelli ◽  
Vittorio Verda
Keyword(s):  
Latent Heat ◽  
Phase Change Materials ◽  
Heat Storage ◽  
Storage System ◽  
District Heating ◽  
Thermal Storage ◽  
Working Fluid ◽  
Latent Heat Storage ◽  
Thermal Enhancement ◽  
Charging And Discharging Processes

Phase-change materials (PCM) are particularly promising for thermal storage in energy systems where the working fluid is either characterized by small specific heat or small temperature difference. In these cases, sensible heat storage would involve small energy densities (i.e. energy per unit volume). Latent heat storage would allow one to reduce the volume of storage tanks, but also reduce problems related with thermal stratification. On the other hand, heat transfer in PCMs needs to be enhanced in order to complete the charging and discharging processes in reasonable time. This paper reports the numerical and experimental activity performed by the authors related with the design of latent heat storage systems for district heating applications. Among the various enhancement methods, fins present some technical advantages related with manufacturing and management, which make them suitable for the application in district heating systems. The following aspects are considered in this paper: 1) melting and solidification; 2) modeling approaches and validation; 3) thermal enhancement with circular, radial or Y-shaped fins.

scholarly journals Storage scaling management model

2020 ◽  
pp. 43-49
Author(s):  
Boris Sovetov ◽  
Tatiana Tatarnikova ◽  
Ekaterina Poymanova
Keyword(s):  
Machine Learning ◽  
Data Storage ◽  
Hierarchical Structure ◽  
Storage Capacity ◽  
Storage System ◽  
Capacity Management ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Storage Media ◽  
The Hierarchical Structure

Introduction: The implementation of data storage process requires timely scaling of the infrastructure to accommodate the data received for storage. Given the rapid accumulation of data, new models of storage capacity management are needed, which should take into account the hierarchical structure of the data storage, various requirements for file storage and restrictions on the storage media size. Purpose: To propose a model for timely scaling of the storage infrastructure based on predictive estimates of the moment when the data storage media is fully filled. Results: A model of storage capacity management is presented, based on the analysis of storage system state patterns. A pattern is a matrix each cell of which reflects the filling state of the storage medium at an appropriate level in the hierarchical structure of the storage system. A matrix cell is characterized by the real, limit, and maximum values of its carrier capacity. To solve the scaling problem for a data storage system means to predict the moments when the limit capacity and maximum capacity of the data carrier are reached. The difference between the predictive estimatesis the time which the administrator has to connect extra media. It is proposed to calculate the values of the predictive estimates programmatically, using machine learning methods. It is shown that when making a short-term prediction, machine learning methods have lower accuracy than ARIMA, an integrated model of autoregression and moving average. However, when making a long-term forecast, machine learning methods provide results commensurate with those from ARIMA. Practical relevance: The proposed model is necessary for timely allocation of storage capacity for incoming data. The implementation of this model at the storage input allows you to automate the process of connecting media, which helps prevent the loss of data entering the system.

Latent Heat Storage for Solar Steam Systems

2007 ◽  
Vol 130 (1) ◽  
Author(s):  
Wolf-Dieter Steinmann ◽  
Rainer Tamme
Keyword(s):  
Latent Heat ◽  
Power Plants ◽  
Phase Change Materials ◽  
Heat Storage ◽  
Storage Systems ◽  
Storage System ◽  
Saturation Temperature ◽  
Steam Generation ◽  
Latent Heat Storage ◽  
Research Activities

Solar thermal systems, including direct steam generation in the absorbers, require isothermal energy storage systems. One option to fulfil this requirement is the application of phase change materials (PCMs) to absorb or release energy. The implementation of cost-effective storage systems demands the compensation of the low thermal heat conductivity that is characteristic for the candidate materials for PCM. Solar steam generation for power plants requires latent heat storage systems for a saturation temperature range between 200°C and 320°C. This paper describes the basic concepts investigated and first results of research activities aiming at the demonstration of a storage system using steam provided by parabolic trough collectors.

Preparation and Evaluation of PCMs by Macro Encapsulation for Solar Energy Storage

2021 ◽  
Vol 14 ◽  
Author(s):  
Sunita Routray ◽  
Vishal Agarwal ◽  
Ranjita Swain ◽  
Rudra Narayan Mohapatro
Keyword(s):  
Phase Change ◽  
Large Scale ◽  
Phase Change Materials ◽  
Low Cost ◽  
Storage System ◽  
Solar Water Heater ◽  
Water Heater ◽  
Latent Heat Storage ◽  
Solar Water ◽  
Thermal Fluids

Abstract: Phase Change Materials (PCMs) are used in a latent heat storage system for storing thermal energy. The thermal conductivity of PCMs is enhanced by macro encapsulation for large-scale use. This technique not only provides a self-supporting structure of PCM, also separates the PCM from thermal fluids and enhances the heat transfer rate. The current work involves the study of encapsulation of low-cost inorganic PCMs, such as Sodium nitrate (NaNO3), in a temperature range of 300 – 500˚C. Silicate coating is also applied to PCM capsules. A Solar water heater is then designed using the macro encapsulated PCM. The water heater consists of copper cylindrical pipes, filled with the phase change material. The efficiency of the solar water heater is found to be 22.5%.

Modelling of latent thermal energy storage systems

2017 ◽  
Vol 8 (1) ◽  
pp. 51-56 ◽  
Author(s):  
Z. Andrássy ◽  
Z. Szánthó
Keyword(s):  
Energy Storage ◽  
Phase Change ◽  
Latent Heat ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Phase Change Materials ◽  
Cfd Simulation ◽  
Storage System ◽  
Experimental System ◽  
Latent Heat Storage

In this paper phase change materials are presented, as effective thermal energy storage due to their great latent heat storing possibility. The main substance used for thermal energy storage purposes is water. Storing the energy with water is not that effective as with phase change materials, because the temperature of water has to change, and it worsen the heat exchange intensity. On the other hand, with phase change materials the temperature of the material does not have to change due to the latent heat storage possibilities. A buffer tank with two pipe coils filled with phase change materials is investigated with the aim to reduce the storage volume. An own thermodynamic model, a CFD simulation and an experimental system are presented. The models could be validated and the process of phase change could be examined with a life-size thermal energy storage system in the laboratory of the department. The performance of heat absorption and release of the phase change material could be calculated in the function of inlet water temperature and mass flow.

Test and Analysis of Ice Storage and Discharging Characteristics in Ice Storage Engineering

2011 ◽  
Vol 347-353 ◽  
pp. 2879-2883
Author(s):  
Yi Luo ◽  
Rong Sheng Ma ◽  
Guang Yuan Liu
Keyword(s):  
Power Consumption ◽  
Storage Capacity ◽  
Storage System ◽  
Optimal Operation ◽  
Ice Storage ◽  
Electricity Cost ◽  
Discharging Capacity

Tests an ice storage engineering of library in Yangzhou,measures ice storage capacity, power consumption of refrigerators, ice discharging capacity and power consumption of pumps.Calculates and analyzes performance coefficient of the ice storage system and electricity cost per discharged capacity.The results are useful for design and optimal operation of ice storage system.

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