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A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems
, Article Journal of Energy Storage ; Volume 17 , 2018 , Pages 93-101 ; 2352152X (ISSN) ; Dufo Lopez, R ; Roshandel, R ; Golzar, F ; Bernal Agustin, J. L ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
In this paper we introduce a Simplified Single Particle Model (SSPM), which is obtained from the general mathematical formulation of Li-ion batteries. The model is validated by using different commercial graphite/LiFePO4 cells, and results show agreement with more complicated models and experimental data for low operating currents of less than 1C. A maximum relative error of less than 2% can be observed to estimate cell voltage in the plateau region of the charge/discharge curves. Therefore, the proposed model is suitable in the case of stand-alone renewable energy systems, where battery current is typically lower than C/10. By increasing the current, the SSPM deviates from more accurate...
Development of a Framework to Utilize Thermoelectrochemical-aging Battery Models in Optimal Design of Renewable Energy Systems
, Ph.D. Dissertation Sharif University of Technology ; Roshandel, Ramin (Supervisor)
Abstract
The operating conditions of the battery in renewable energy systems affect its electrochemical behavior and degradation process. Recent research mainly estimates battery lifetime through conventional methods such as counting the number of equivalent battery life cycles or based on simple experimental models that may lead to optimistic predictions in battery service period. In this study, a reduced-order thermoelectrochemical-aging battery model is developed for the application of renewable energy systems and the battery degradation analysis is investigated by this model. The proposed microscopic model evaluates the effect of battery operating conditions such as state of charge, current and...
Modeling Applications of Flow Battery for Optimal Energy Management of Blockchain Mining
, M.Sc. Thesis Sharif University of Technology ; Moeini Eghtaei, Moein (Supervisor)
Abstract
In recent years, the high energy consumption of blockchain technology has led to the creation of major problems such as more greenhouse gas emissions and additional pressure on the power grid. In this regard, the emerging technology of flow batteries for large-scale electricity storage might be a suitable choice to overcome both problems. In this research, a novel interdisciplinary methodology has been developed to optimize the flow battery design in different scenarios of energy systems with blockchain mining electricity demand. In this methodology, a new electrochemical model was developed for the vanadium redox flow battery with a no-mixing design, and its results were validated on...
Numerical Simulation and Modeling of Electrochemical Processes in Lithium Titanate Oxide Batteries
, M.Sc. Thesis Sharif University of Technology ; Rajani Ghahnavieh, Abbas (Supervisor) ; Torabi, Farshad (Co-Supervisor)
Abstract
Batteries have always been used as one of the most important sources of electricity storage and supply. Among different types of batteries, lithium-ion batteries are widely used in various fields and engineering applications due to their high-density energy/power, high discharge/charge rate, and long life. The most common of these applications are using these batteries in all-electric and hybrid vehicles, which reduce environmental problems. Due to the high cost of these types of batteries and the environmental issues of battery decomposition, researchers are seeking to discover long-lasting batteries that lithium titanate oxide batteries have the most extended lifespan among lithium-ion...
A predictive control based on neural network for proton exchange membrane fuel cell
, Article World Academy of Science, Engineering and Technology ; Volume 50 , 2011 , Pages 456-460 ; 2010376X (ISSN) ; Rezaei, M ; Najmi, V ; Sharif University of Technology
Abstract
The Proton Exchange Membrane Fuel Cell (PEMFC) control system has an important effect on operation of cell. Traditional controllers couldn't lead to acceptable responses because of time- change, long- hysteresis, uncertainty, strong- coupling and nonlinear characteristics of PEMFCs, so an intelligent or adaptive controller is needed. In this paper a neural network predictive controller have been designed to control the voltage of at the presence of fluctuations of temperature. The results of implementation of this designed NN Predictive controller on a dynamic electrochemical model of a small size 5 KW, PEM fuel cell have been simulated by MATLAB/SIMULINK
Hydrodynamic and electrochemical modeling of vanadium redox flow battery
, Article Mechanics and Industry ; Volume 16, Issue 2 , 2015 ; 22577777 (ISSN) ; Elyasi, S ; Mollazadeh, M ; Sharif University of Technology
EDP Sciences
2015
Abstract
Two and three dimensional modeling of a single cell of vanadium redox flow battery has been done thoroughly according to electrochemical and fluid mechanic equations in this study. The modeling has been done in stationary state and its results have been presented in three chemical, electrical and mechanical sub models. The parametric analysis on some of important factors in cell operation demonstrated that increase in electrode and membrane conductivity and electrode porosity contributes to electric potential increase in cells. Also operational temperature increase leads to decrease in cells' voltage. Better fluid distribution on the electrode surface area results in better cell operation,...