scholarly journals Accessible Battery Model with Aging Dependency

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3493
Author(s):  
Christophe Savard ◽  
Emiliia Iakovleva ◽  
Daniil Ivanchenko ◽  
Anton Rassõlkin
Keyword(s):  
Characteristic Curve ◽  
Electrical Energy ◽  
Rechargeable Batteries ◽  
Simulation Software ◽  
Cell Aging ◽  
Storage Cell ◽  
Battery Model ◽  
Coupled Cells ◽  
Standard Models ◽  
Aging Phenomena

Designed to store and discharge electrical energy, rechargeable batteries consist of elementary storage cell assemblies. Aging is affected by various aggravating factors, mainly temperature. There are many electric or electrochemical models which describe their operation. Most standard models do not consider the aging phenomena of batteries and their consequences, while batteries deteriorate when used or stored. Precisely, most battery models do not simulate the influence of cell aging on other cells. The model presented in this paper incorporates aging and the effects of mutual interactions between cells. The model can be established based on four measurement points on the cell characteristic curve and allows the simulation of a single cell’s or multiple coupled cells’ behavior. The model can then be easily implemented in simulation software like Matlab.

scholarly journals Numerical Evaluation of a HVAC System Based on a High-Performance Heat Transfer Fluid

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3298
Author(s):  
Gianpiero Colangelo ◽  
Brenda Raho ◽  
Marco Milanese ◽  
Arturo de Risi
Keyword(s):  
Heat Transfer ◽  
High Performance ◽  
Cooling System ◽  
Electrical Energy ◽  
Simulation Software ◽  
Heat Transfer Fluid ◽  
Hvac System ◽  
Dynamic Simulations ◽  
Heating And Cooling ◽  
The University

Nanofluids have great potential to improve the heat transfer properties of liquids, as demonstrated by recent studies. This paper presents a novel idea of utilizing nanofluid. It analyzes the performance of a HVAC (Heating Ventilation Air Conditioning) system using a high-performance heat transfer fluid (water-glycol nanofluid with nanoparticles of Al2O3), in the university campus of Lecce, Italy. The work describes the dynamic model of the building and its heating and cooling system, realized through the simulation software TRNSYS 17. The use of heat transfer fluid inseminated by nanoparticles in a real HVAC system is an innovative application that is difficult to find in the scientific literature so far. This work focuses on comparing the efficiency of the system working with a traditional water-glycol mixture with the same system that uses Al2O3-nanofluid. The results obtained by means of the dynamic simulations have confirmed what theoretically assumed, indicating the working conditions of the HVAC system that lead to lower operating costs and higher COP and EER, guaranteeing the optimal conditions of thermo-hygrometric comfort inside the building. Finally, the results showed that the use of a nanofluid based on water-glycol mixture and alumina increases the efficiency about 10% and at the same time reduces the electrical energy consumption of the HVAC system.

Hydrogen Storage in Magnesium-Based Alloys

MRS Bulletin ◽  
1999 ◽  
Vol 24 (11) ◽  
pp. 40-44 ◽  
Author(s):  
R.B. Schwarz
Keyword(s):  
Energy Density ◽  
Hydrogen Storage ◽  
Alternative Energy ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Clean Energy ◽  
Energy System ◽  
Liquid Hydrogen ◽  
Rechargeable Batteries ◽  
Oil Crisis

Magnesium can reversibly store about 7.7 wt% hydrogen, equivalent to more than twice the density of liquid hydrogen. This high storage capacity, coupled with a low price, suggests that magnesium and magnesium alloys could be advantageous for use in battery electrodes and gaseous-hydrogen storage systems. The use of a hydrogen-storage medium based on magnesium, combined with a fuel cell to convert the hydrogen into electrical energy, is an attractive proposition for a clean transportation system. However, the advent of such a system will require further research into magnesium-based alloys that form less stable hydrides and proton-conducting membranes that can raise the operating temperature of the current fuel cells.Following the U.S. oil crisis of 1974, research into alternative energy-storage and distribution systems was vigorously pursued. The controlled oxidation of hydrogen to form water was proposed as a clean energy system, creating a need for light and safe hydrogen-storage media. Extensive research was done on inter-metallic alloys, which can store hydrogen at densities of about 1500 cm3-H2 gas/ cm3-hydride, higher than the storage density achieved in liquid hydrogen (784 cm3/cm3 at –273°C) or in pressure tanks (˜200 cm3/cm3 at 200 atm). The interest in metal hydrides accelerated following the development of portable electronic devices (video cameras, cellular phones, laptop computers, tools, etc.), which created a consumer market for compact, rechargeable batteries. Initially, nickel-cadmium batteries fulfilled this need, but their relatively low energy density and the toxicity of cadmium helped to drive the development of higher-energy-density, less toxic, rechargeable batteries.

scholarly journals Applications of Nanoscale Materials in the Fields of Electrochemistry and Photoelectrochemistry

1998 ◽  
Vol 21 (2) ◽  
pp. 123-146 ◽  
Author(s):  
G. Campet ◽  
A. Deshayes ◽  
J. C. Frison ◽  
N. Treuil ◽  
J. Portier
Keyword(s):  
Energy Storage ◽  
Lithium Batteries ◽  
Nanocrystalline Materials ◽  
Lithium Ion ◽  
Electrical Energy ◽  
Rechargeable Batteries ◽  
Photoelectrochemical Cells ◽  
Nanoscale Materials ◽  
Nanocrystalline Films ◽  
Electrical Energy Storage

We have illustrated the important role played by the nanoscale materials in three-up-to-date energy topics.1/The solar-to-electrical energy conversion in photoelectrochemical cells: we have shown two favorable situations for which photoelectrochemical cells using porous nanocrystalline films have high efficiencies.2/The electrical energy storage in rechargeable rocking-chair lithium batteries: these systems, which use nanocrystalline materials, might be the next generation of rechargeable batteries showing higher capacity, cyclability, and safety than conventional lithium ion batteries.3/The energy saving with efficient electrochromic windows using nanocrystalline materials.

Energy Harvesting and Energy Conversion Devices Using Thermoelectric Materials

2015 ◽  
pp. 198-253 ◽  
Author(s):  
Mihail O. Cernaianu ◽  
Aurel Gontean
Keyword(s):  
Energy Harvesting ◽  
Heat Dissipation ◽  
Waste Heat ◽  
Electrical Energy ◽  
Electronic System ◽  
Rechargeable Batteries ◽  
Energy Harvesting System ◽  
Condition Monitoring System ◽  
Energy Conversion Devices ◽  
Sustainable Power

The authors propose in this chapter an original, self-sustainable, power supply system for wireless monitoring applications that is powered from an energy harvesting device based on thermoelectric generators (TEGs). The energy harvesting system's purpose is to gather the waste heat from low temperature sources (<90°C), convert it to electrical energy and store it into rechargeable batteries. The energy harvesting system must be able to power a so-called condition monitoring system (CMS) that is used for the monitoring of heat dissipation equipment. The setup used for measurements (including mechanical details) and the experiments are described along with all the essential results of the research. The electronic system design is emphasized and various options are discussed.

scholarly journals Biomass Steam Gasification, High-Temperature Gas Cleaning, and SOFC Model: A Parametric Analysis

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5936
Author(s):  
Vera Marcantonio ◽  
Danilo Monarca ◽  
Mauro Villarini ◽  
Andrea Di Carlo ◽  
Luca Del Zotto ◽  
...  
Keyword(s):  
Energy Content ◽  
Aspen Plus ◽  
Electrical Energy ◽  
Simulation Software ◽  
Steam Gasification ◽  
Operating Conditions ◽  
Electrical Efficiency ◽  
Gas Cleaning ◽  
Predicting Performance ◽  
Steady State Model

Gasification technology is actually one of the most effective ways to produce power and hydrogen from biomass. Solid oxide fuel cells (SOFCs) have proved to be an excellent energy conversion device. They can transform the chemical energy content in the syngas, produced by a gasifier, directly into electrical energy. A steady-state model of a biomass-SOFC was developed using process simulation software, ASPEN Plus (10, AspenTech, Bedford, MA, USA). The objective of this work was to implement a biomass-SOFC system capable of predicting performance under diverse operating conditions. The system is made of a gasification zone, gas cleaning steps, and SOFC. The SOFC modelling was done without external subroutines, unlike most models in the literature, using only the existing ASPEN Plus blocks, making the model simpler and more reliable. The analysis of the syngas composition out of each cleaning step is in accordance with literature data. Then, a sensitivity analysis was carried out on the main parameters. The results indicate that there must be a trade-off between voltage, electrical efficiency, and power with respect to current density and it is preferable to stay at a low steam-to-biomass ratio. The electrical efficiency achieved under the operating conditions is 57%, a high value, making these systems very attractive.

Single Phase PV Inverter Applying a Dual Boost Technology

2016 ◽  
Vol 5 (2) ◽  
pp. 95 ◽  
Author(s):  
Sudha Bhutada ◽  
S.R. Nigam
Keyword(s):  
Single Phase ◽  
Electrical Energy ◽  
Simulation Software ◽  
Matlab Simulation ◽  
Generation System ◽  
Photovoltaic Panel ◽  
Pv Inverter ◽  
Single Phase Inverter ◽  
Pv Generation ◽  
Pv Grid

<p>In this paper, a single-phase PV inverter applying a dual boost converter circuit inverter is proposed for photovoltaic (PV) generation system and PV grid connected system. This system is designed to improve integration of a Single phase inverter with Photovoltaic panel. The DC 24V is converted into to 86V DC and then 86V DC to 312V DC. The 312 V DC is then successfully inverted to AC 220V. Hence solar energy is powerfully converted into electrical energy for fulfilling the necessities of the home load, or to link with the grid. Matlab Simulation software was used for simulation of the circuit and outcome is presented in this paper.</p>

Modeling and Simulation of the Ni-Mh Battery

2012 ◽  
Vol 602-604 ◽  
pp. 1040-1043
Author(s):  
Hai Gang Zhang ◽  
Xiao Bin Li ◽  
Wei Guo Qian
Keyword(s):  
Modeling And Simulation ◽  
Dynamic Model ◽  
Dynamic Behavior ◽  
Simulation Software ◽  
Model Parameters ◽  
Matlab Simulation ◽  
Battery Model ◽  
Mh Battery

This paper presents an improved and easy-to-use battery dynamic model. The charge and the discharge dynamics of the battery model are validated experimentally with Ni-Mh batteries types. An interesting feature of this model is the simplicity to extract the dynamic model parameters from batteries datasheets. Finally, the battery model is simulated in the matlab simulation software .The results show that the model can accurately re-present the dynamic behavior of the battery.

scholarly journals Identification of Li-ion battery models through monotonic echo serial networks for coarse data

2020 ◽  
Vol 28 (1) ◽  
pp. 109-120
Author(s):  
Antonio Álvarez-Caballero ◽  
Cecilio Blanco ◽  
Inés Couso ◽  
Luciano Sánchez
Keyword(s):  
First Principles ◽  
Experimental Validation ◽  
Expert Knowledge ◽  
Rechargeable Batteries ◽  
Li Ion Battery ◽  
Monotone Transformation ◽  
Battery Model ◽  
Inaccurate Data ◽  
Li Ion ◽  
Better Than

Abstract Monotone transformation models are extended to inaccurate data and are combined with recurrent neural networks in a new battery model that is able to ascertain the health of rechargeable batteries for automotive applications. The presented method exploits the information contained in the vehicle’s operational records better than other cutting-edge models and uses a minimum amount of human expert knowledge. The experimental validation of the technique includes a comparative analysis of batteries in different health conditions, comprising first-principles models and different machine learning procedures.

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