Loading...
Search for:
moein--a
0.152 seconds
Total 13838 records
An introduction to the next generation of radiology in the web 2.0 world
, Article IFMBE Proceedings, 30 April 2010 through 2 May 2010 ; Volume 32 IFMBE , April , 2010 , Pages 459-462 ; 16800737 (ISSN) ; 9783642149979 (ISBN) ; Malekmohammadi, M ; Youssefi, K ; Sharif University of Technology
2010
Abstract
"Web 2.0" refers to a second generation of web development and design, that facilitates communication, secure information sharing, interoperability, and collaboration on the World Wide Web. The truth is that Web 2.0 is a difficult term to define, even for web experts. Usually phrases like "the web as platform" and "architecture of participation" are used to describe this term. Examples of Web 2.0 include web-based communities, hosted services, web applications, social-networking sites, video-sharing sites, wikis, blogs, mashups and folksonomies. The Internet is changing medicine and Web 2.0 is the current buzz word in the World Wide Web dictionary. Radiology in the Web 2.0 probably refers to...
Designing a Framework for Power Exchange in Local Energy Market of a
Microgrid Using the Concept of Blockchain Technology
,
M.Sc. Thesis
Sharif University of Technology
;
Moeini Aghtaee, Moein
(Supervisor)
Abstract
By entering the concepts of transactive energy systems, microgrids and peer-to-peer networks into the local energy market, it has made it possible to implement local energy market in the microgrids more than ever. In transactive energy systems, with the elimination of the intermediate entity, exchanges take place directly between the different parts of the system, which results in increased system flexibility and reduced system costs. In this study, by applying blockchains in local energy market and in micro-grids and transactive energy systems, a framework is proposed to implement local energy market in an energy micro-grid based on blockchain. By using blockchain features and structure,...
Implication, Testing and Application of Composite Patches for Aviation Industry Structures
, M.Sc. Thesis Sharif University of Technology ; Abedian, Ali (Supervisor)
Abstract
An aerial structure can be at the disposal of the owners of damage or intellectual property during its lifetime, under the supervision of static and dynamic loads and providing information in the field of recognizing temperature, humidity and environmental pressure with high-speed gradient. Capable Composite patches are used to repair damaged areas. Composite patches have unique properties such as high strength to weight ratio and corrosion resistance. In structures modified with a composite patch, various failures occur during loading, including: fiber breakage, matrix fracture, separation of fibers from the matrix or the latest patch from the main structure and failure of the metal...
Developing a New Framework for Bidding Strategy of Prosumers in Transactive Energy Markets
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
In this thesis, the bidding strategy of prosumers in transactive energy markets is analyzed. Considering the repaid increase in utilizing installations that convert multiple energy together, the concept of multi-carrier energy studies has been highlighted. Moreover, with the advent of district heating networks, thermal energy markets have gained much attention lately. The agent who participates in such markets can appropriately benefit from the inherent interdependencies between various energy carriers depending on their prices in different energy markets. This market player is technically called to pose an energy hub. In this regard, to deploy the inherent abilities of such an energy...
Introducing a Novel Method of Loss Allocation Based on Power Tracking in the Transactive Energy Market
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
The issue of loss allocation is one of the most important issues that has long been considered in electricity networks, including distribution and transmission. With changes in distribution networks over the years and the penetration of distributed energy sources, the allocation of losses has become more of a challenge than ever before. Hence, there is a need for a loss allocation algorithm that can be implemented in any network and with any topology. In this dissertation, a new, simple and at the same time efficient algorithm for allocating real losses in all networks (distribution - transmission) and with any structure (radial - circular) is presented. This algorithm first tracks the...
Developing a Framework for Reliability Studies of Distribution Energy System Comprised of Multi Energy Hubs with Heat Storages
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
Using energy storage systems has been remarkably improved the energy systems efficiency and reliability indicators of the system and also reduced the operating costs of these systems. Thus using them in an energy system would count as an advantage. Lately, the procedure of implementation of these systems has been studied widely and various motives behind implementing them have been reviewed. For example, the effect of cost optimization in electrical vehicles on reliability indicators from the load management perspective can be addressed. Therefore this thesis has studied the effect of electrical and thermal storage systems on the reliability indicators of an energy hub and the effect of...
Developing a New Algorithm for Detecting Electricity Theft in Crypto-Currency Miners
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaei, Moein (Supervisor)
Abstract
Cryptocurrency miners by solving complex mathematical calculations are responsible for verifying the transactions made in the blockchain network as well as maintaining its security, and as a reward for these activities, they receive bitcoins from the network. The devices used to mine cryptocurrency in order to perform the aforementioned calculations need high electricity consumption, so that the main cost of mining is related to its electricity consumption. For this reason, the ever-increasing development of the blockchain network, as well as the significant growth of the value of Bitcoin, has increased the number of cryptocurrency miners, especially in countries with low electricity costs....
Presenting a New Model for Planning Studies of a Multi-energy Microgrid to Achieve a Low-carbon Society
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
With the growing population and the development of human societies, the demand for energy increases. And it is expected that for the next few decades, fossil fuels will continue to be recognized as the main sources of energy supply and used to meet energy demand. One of the biggest disadvantages of fossil fuel consumption is the emission of greenhouse gases such as carbon dioxide, which raises the Earth's temperature and has devastating effects on the climate and the lives of its inhabitants. On the other hand, fossil fuels are recognized as non-renewable sources and their lifespan is only for the next few decades. Today, one of the major concerns of societies, especially in developed...
Developing a Framework for Providing the Flexibility of Active Consumers of Energy Distribution Networks
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
The power systems’ net-load variability and uncertainty would aggravate significantly as the penetration of Renewable Energy Resources (RERs) in power systems increases. In response, power system researchers have introduced a new concept, namely flexibility, to quantitatively and systematically deal with unavoidable features of RERs. In power distribution systems as the connection point of power systems with customers, there are many opportunities for improving the flexibility level of systems. Nowadays, the emergence of prosumers has created new opportunities for distribution system operators in providing the system with different services of flexibility in distribution systems. Therefore,...
Fault Diagnosis of Lithium-ion Battery Pack of Electric Vehicles Using Machine Learning Algorithms
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaei, Moein (Supervisor)
Abstract
In the current era, the urgent need to reduce the use of fossil fuels and limit carbon emissions has highlighted the importance of shifting from traditional gasoline-powered vehicles to electric vehicles. The evolving landscape and challenges in the field of electric vehicles highlight the importance of ensuring the safety and reliability of energy storage systems. Lithium-ion batteries play a central role in electric vehicle technology, requiring thorough research efforts. Notably, the detection of internal short circuit, a common issue in lithium-ion batteries, has become a focus of researchers in recent years. This study aims to investigate the internal short circuit fault in lithium-ion...
Developing a New Model for Energy Management System of Electric Vehicles Considering Battery Aging
, M.Sc. Thesis Sharif University of Technology ; Moeini, Moein (Supervisor)
Abstract
Today, hybrid electric vehicles are known as one of the approaches with high potential to reduce and control emissions and fossil fuel consumption in the transportation sector, so that it can be a bridge between conventional vehicles and fully electric vehicles. One of the main weaknesses and obstacles to the widespread use of these vehicles is the habit of drivers and the lack of full evolution of the technology in the battery and its management. The one of solutions to overcome this problem is structural optimization and identification of factors effecting battery health and design of energy management system considering battery health. In this thesis, an energy management system has been...
Developing an Efficient Framework for Involving Degradation Model of Lithium-ion Battery in Optimization Studies of a Residential Energy Hub
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
Energy storage systems are expected to play an important role in future renewable-based power systems. Recently, lithium-ion batteries have been attracting considerable attention as alternative energy storage systems due to their advantages. In this study, viability of battery storage systems as large-scale energy storage systems is studied in the context of a residential energy hub. A stochastic optimization problem is proposed for energy management of the energy hub where wind generation and demand are considered uncertain. In order to account for the degradation costs of the battery storage system, a data-driven State-of-health prediction model is developed based on the relevance vector...
Developing a New Model to Estimate Flexibility of Thermal and Electrical Storage Units in Active Energy Distribution Systems
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
Nowadays, variable generation and renewable energy resources are increasingly penetrating the energy systems to supply the users' demand at the distribution grid. Variable Energy Resources (VER) can provide energy at a lower cost, and they also guarantee cleaner energy. Still, the uncertainty and variability from these resources' output can affect the net-load of the system at each hour. Besides, the issue of energy balance has always been a challenge for the energy distribution networks. A comprehensive way to unravel this problem is to use flexible resources. One of the crucial issues in the flexibility debate is meeting this need by different energy resources. It is always an issue for...
, M.Sc. Thesis Sharif University of Technology ; Sattari, Sorena (Supervisor) ; Moeini Aghtaie, Moein (Co-Supervisor)
Abstract
Hybrid vehicles have many advantages, including reducing greenhouse gas emissions, saving fuel, and optimizing energy use. Proper routing for hybrid vehicles can improve fuel efficiency, increase energy efficiency, and even extend the life of electric batteries. In this study, two routing modes, offline and online, are introduced. The offline mode guides the vehicle from the starting point to the destination by using satellite traffic data and geological information such as slope information. In the online mode, the vehicle, with the ability to receive signals from surrounding vehicles (V2V), such as a breakdown of the vehicle in front, and considering concepts such as traffic, the presence...
Energy Management of a Residential Prosumer Employing Machine Learning Techniques
, M.Sc. Thesis Sharif University of Technology ; Moeini Eghtaei, Moein (Supervisor)
Abstract
This thesis proposes an energy management model for a residential prosumer building which is a multi-carrier energy hub in a grid-connected mode. Power may be bought and sold between the building energy system and the power grid. Solar panels and solar water heaters are integrated into the building's energy system to create electricity and heat, which may be used in a variety of ways: used immediately to meet the home's demands, stored in batteries and heat banks for later use, or sold back to the power grid to earn income. The energy dispatch is managed such that the overall energy consumption cost is minimized, considering the variation in electricity price (grid tariff), renewable energy...
Residential Energy Hub Management using Reinforcement Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
In recent years, various studies have been conducted focusing on the optimization and scheduling of energy hubs (EH). EH optimization is important because it tries to create synergy in the energy supply system by considering the relationships between energy carriers. For this purpose, various algorithms such as analytical methods (linear programming) and evolutionary and heuristic algorithms have been used. Also, recently, various studies have addressed the applications of reinforcement learning for energy hub management. In this study, a hybrid model for energy hub management has been developed by combining classical linear models (Known as white-box models) and reinforcement learning...
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...
Providing a Comprehensive Framework for Planning District Heating Studies in a Residential Area
, M.Sc. Thesis Sharif University of Technology ; Moeini-Aghtaie, Moein (Supervisor) ; Rajabi, Abbas (Co-Supervisor)
Abstract
Heat losses and pump electrical energy consumption are inevitable during the operation of a district heating(DH) network. Therefore, the appropriate design and operating strategy of a DH network is required in order to reduce the heat losses and pump energy consumption. This study is aimed at optimizing pipe diameters and mass flow rate in a DH network according to heat demand of the building in order to minimizing operating cost of the network.For this purpose first drawings of the building is modeled in Auto Cad software. Then according to the position of building to the sun, the building is modeled in Desighn Builder software. In this software the buildings charactersitics like materials...
Transactive Coordination Approach for Energy Management in Microgrids (MGs)
, Ph.D. Dissertation Sharif University of Technology ; Ehsan, Mehdi (Supervisor) ; Moeini Aghtaei, Moein (Co-Supervisor)
Abstract
Nowadays, due to the rapid growth of electric energy consumption at the distribution network level and the environmental problems caused by conventional generation units, it has become necessary to provide appropriate solutions to increase the penetration of renewable energy sources and optimally manage the consumers/prosumers at the demand side of power systems. In recent years, various methods have been proposed for demand-side energy management models and distributed energy resources (DERs) integration into the distribution network. Amongst them, the transactive coordination approach that employs the economic and control mechanisms for the management of DERs and responsive loads has been...
A Study on the Shannon Zero Error Capacity of Graphs
, M.Sc. Thesis Sharif University of Technology ; Jafari, Amir (Supervisor) ; Alipour, Sharareh (Supervisor)
Abstract
The issue of reliability, which is associated with a low probability of error in a communication system, is an important parameter in information theory. By reliability, we mean a low decoding error probability, and one of the main criteria for this is the zero decoding error probability. In the zero-error probability, the decoding error probability for any code is exactly zero. Error-free capacity was examined by Claude Shannon in 1956. The Shannon capacity of a communication channel is defined using the independent sets of strong products of graph. Shannon calculated the capacity of graphs up to five vertices except the graphC5. Lovász, in 1979, using the upper bound he provided, was able...