The document presents a cost minimization study for establishing electric vehicle (EV) charging stations in the cities of Mumbai and Delhi, India. It implements an optimization algorithm called the 'capacity facilitated location problem' to identify locations for charging stations that minimize overall costs. The study considers factors like installation, land acquisition, transportation, and maintenance costs. The results find that the break-even point for charging stations in Delhi is achieved in 420 days, while Mumbai is projected to reach the break-even point in 503 days. This suggests establishing stations may be more financially viable first in Delhi compared to Mumbai. The findings provide insights into addressing growing EV demand in an economically efficient manner.
Optimizing the electric charge station network of EŞARJertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/optimizing-the-electric-charge-station-network-of-esarj/
In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.
Optimizing the electric charge station network of EŞARJGurdal Ertek
In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.
http://research.sabanciuniv.edu/
Survey on efficient plug in hybrid vehicle chargingeSAT Journals
Abstract
Our future depends upon the renewable energy sources. Since many years vehicles have relied on combustion fuel like oil and
diesel, which will create problem in near future as there are limited reserves of fossil fuels. Hence the most important fact is to
preserve energy. So, plug-in hybrid vehicle (PHEV) is good and effective solution for eco-friendly transportation system.
Therefore, in this paper a plug-in hybrid vehicle approach is presented along with portable solar panel mounted on it to charge
battery. As solar panel is less efficient, a new technique called external light trapping is presented. A 3D printed parabolic
concentrator is used for this purpose. It redirects reflected photons back to solar cells and hence due to multiple reflections its
power conversion efficiency increases. If in any case, battery run out of charge then to charge it mobile chargers (MC) are used.
An android application is developed to support PHEV mobility. It provides full support to driver through its various functions like
monitoring of battery, prediction of range it can travel with current battery state and its location. The mobile server based on
queuing approach determines design parameter for such mobile charging system. An NJN (nearest-job-next) strategy is used to
serve this purpose. In NJN, MC serves next closest PHEV when its current job is done. Moreover, driver can reserve charging slot
based on their availability. So, in short our main purpose is to reduce carbon dioxide emission and mitigate PHEV driver range
anxiety problem.
Keywords: Battery Charging, 3D Printed Parabolic Concentrator, Queuing Theory, Slot Booking, Plug-In Hybrid
Vehicle.
Electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging. The NG powered by the renewable energy sources (RES) of photovoltaic (PV) and wind energy. When the excess power produced by the renewable energy stored in the local energy storage unit (ESU) utilized during shortage power from the renewable sources. During the overloading of NG and demand of energy in ESU; the mobile charging station (MCS) provides an uninterrupted charging. The MCS provides an option for battery swapping and vehicle to grid feasibility. The MCS required to monitor the state of charge (SOC) and state of health (SOH) of the battery. Monitoring of SOC and SOH related to the various battery parameters like voltage, current and temperature. A laboratory prototype is developed and tested the practical possibility of EV to NG and Internet of things (IoT) based monitoring of battery parameters.
Smart Cities are emerging everywhere, each city is trying to become the first smart city in the world. A smart city is one of the many concepts of cities of tomorrow, you have other concept such as green cities or cities as a service. A smart city is a data driven city where a wide array of smart and connected infrastructure delivers sustainable and prosperous future for its citizens.
The concept of Smart City revolves around the concept of Smart mobility. “Smart mobility” can be defined as a way to move people and goods using new technology that is faster, cleaner, protected, secure, connected, intelligent, more accessible and less expensive than traditional options. Smart mobility revolves around the Electric Vehicle and is about striving toward frictionless, automated and personalized mobility.
Scientific and Economic Observers expect that electric vehicle will represent 35% of all new vehicles sales by 2022 and that it will represent 41 millions of sales per year by 2040. This evolution won’t be without consequences: A predictable outcome would be an increase in both the number and the size of Electric car batteries. However, the principal components of these batteries are projected to disappear.
To be able to have the brilliant utopian future described earlier, this problem needs to be solved.
This report offers an overview of the economic potential for electric powertrains applied in urban bus fleets. Being recognised by an ever-growing number of national and regional authorities, electrified powertrains serve as an essential means to reduce our impact on both climate change and to improve local air quality. Due to a plummeting price for batteries over the last years, a tipping point for electric buses to break through is within reach. Therefore, governments need guidance to change course drastically and to go electric today, rather than to postpone the decision and to procure another batch of conventional (or in the best case non-plug-in hybrid/compressed natural gas) vehicles. For this reason, an analysis is made covering the total cost of ownership (TCO) of different urban bus powertrains on a technological level. These are conventional diesel, plug-in hybrid electric (PHEV), compressed natural gas (CNG) and their battery electric variants. For the latter, we distinguish two types of charging, i.e. overnight charging (also: ‘depot charging’) and opportunity charging over the course of the bus’s trajectory. The TCO includes the capital expenditure of the bus and its lifetime operational costs, including the required charging/refuelling infrastructure.
The outcome presented for this exercise results from both interviewing the most prominent bus and infrastructure manufacturers, while occasional gaps in their answers are filled with the available information from the literature. Thus, we present an update of previous TCO analyses and focus on the European market. This report starts with an overview of the main parameters for the TCO study, to be subsequently followed by a sensitivity analysis. Then, an estimation of the required copper content of the combination of an electric bus fleet and its infrastructure is presented. Finally, we compare the current situation to the expected market potential by 2025.
Optimizing the electric charge station network of EŞARJertekg
Download Link > https://ertekprojects.com/gurdal-ertek-publications/blog/optimizing-the-electric-charge-station-network-of-esarj/
In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.
Optimizing the electric charge station network of EŞARJGurdal Ertek
In this study, we adopt the classic capacitated p-median location model for the solution of a network design problem, in the domain of electric charge station network design, for a leading company in Turkey. Our model encompasses the location preferences of the company managers as preference scores incorporated into the objective function. Our model also incorporates the capacity concerns of the managers through constraints on maximum number of districts and maximum population that can be served from a location. The model optimally selects the new station locations and the visualization of model results provides additional insights.
http://research.sabanciuniv.edu/
Survey on efficient plug in hybrid vehicle chargingeSAT Journals
Abstract
Our future depends upon the renewable energy sources. Since many years vehicles have relied on combustion fuel like oil and
diesel, which will create problem in near future as there are limited reserves of fossil fuels. Hence the most important fact is to
preserve energy. So, plug-in hybrid vehicle (PHEV) is good and effective solution for eco-friendly transportation system.
Therefore, in this paper a plug-in hybrid vehicle approach is presented along with portable solar panel mounted on it to charge
battery. As solar panel is less efficient, a new technique called external light trapping is presented. A 3D printed parabolic
concentrator is used for this purpose. It redirects reflected photons back to solar cells and hence due to multiple reflections its
power conversion efficiency increases. If in any case, battery run out of charge then to charge it mobile chargers (MC) are used.
An android application is developed to support PHEV mobility. It provides full support to driver through its various functions like
monitoring of battery, prediction of range it can travel with current battery state and its location. The mobile server based on
queuing approach determines design parameter for such mobile charging system. An NJN (nearest-job-next) strategy is used to
serve this purpose. In NJN, MC serves next closest PHEV when its current job is done. Moreover, driver can reserve charging slot
based on their availability. So, in short our main purpose is to reduce carbon dioxide emission and mitigate PHEV driver range
anxiety problem.
Keywords: Battery Charging, 3D Printed Parabolic Concentrator, Queuing Theory, Slot Booking, Plug-In Hybrid
Vehicle.
Electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging. The NG powered by the renewable energy sources (RES) of photovoltaic (PV) and wind energy. When the excess power produced by the renewable energy stored in the local energy storage unit (ESU) utilized during shortage power from the renewable sources. During the overloading of NG and demand of energy in ESU; the mobile charging station (MCS) provides an uninterrupted charging. The MCS provides an option for battery swapping and vehicle to grid feasibility. The MCS required to monitor the state of charge (SOC) and state of health (SOH) of the battery. Monitoring of SOC and SOH related to the various battery parameters like voltage, current and temperature. A laboratory prototype is developed and tested the practical possibility of EV to NG and Internet of things (IoT) based monitoring of battery parameters.
Smart Cities are emerging everywhere, each city is trying to become the first smart city in the world. A smart city is one of the many concepts of cities of tomorrow, you have other concept such as green cities or cities as a service. A smart city is a data driven city where a wide array of smart and connected infrastructure delivers sustainable and prosperous future for its citizens.
The concept of Smart City revolves around the concept of Smart mobility. “Smart mobility” can be defined as a way to move people and goods using new technology that is faster, cleaner, protected, secure, connected, intelligent, more accessible and less expensive than traditional options. Smart mobility revolves around the Electric Vehicle and is about striving toward frictionless, automated and personalized mobility.
Scientific and Economic Observers expect that electric vehicle will represent 35% of all new vehicles sales by 2022 and that it will represent 41 millions of sales per year by 2040. This evolution won’t be without consequences: A predictable outcome would be an increase in both the number and the size of Electric car batteries. However, the principal components of these batteries are projected to disappear.
To be able to have the brilliant utopian future described earlier, this problem needs to be solved.
This report offers an overview of the economic potential for electric powertrains applied in urban bus fleets. Being recognised by an ever-growing number of national and regional authorities, electrified powertrains serve as an essential means to reduce our impact on both climate change and to improve local air quality. Due to a plummeting price for batteries over the last years, a tipping point for electric buses to break through is within reach. Therefore, governments need guidance to change course drastically and to go electric today, rather than to postpone the decision and to procure another batch of conventional (or in the best case non-plug-in hybrid/compressed natural gas) vehicles. For this reason, an analysis is made covering the total cost of ownership (TCO) of different urban bus powertrains on a technological level. These are conventional diesel, plug-in hybrid electric (PHEV), compressed natural gas (CNG) and their battery electric variants. For the latter, we distinguish two types of charging, i.e. overnight charging (also: ‘depot charging’) and opportunity charging over the course of the bus’s trajectory. The TCO includes the capital expenditure of the bus and its lifetime operational costs, including the required charging/refuelling infrastructure.
The outcome presented for this exercise results from both interviewing the most prominent bus and infrastructure manufacturers, while occasional gaps in their answers are filled with the available information from the literature. Thus, we present an update of previous TCO analyses and focus on the European market. This report starts with an overview of the main parameters for the TCO study, to be subsequently followed by a sensitivity analysis. Then, an estimation of the required copper content of the combination of an electric bus fleet and its infrastructure is presented. Finally, we compare the current situation to the expected market potential by 2025.
Similar to City specific Cost Minimization for EV charging centers (20)
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.