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This project examines the correlation between consumer perception and willingness to pay for electric vehicles (EVs). Using secondary research regarding sustainability, pricing and other factors influencing or swaying purchasing decisions, newfound details were uncovered. A survey was then created to collect primary research data, gauging general interest using a side-by-side

This project examines the correlation between consumer perception and willingness to pay for electric vehicles (EVs). Using secondary research regarding sustainability, pricing and other factors influencing or swaying purchasing decisions, newfound details were uncovered. A survey was then created to collect primary research data, gauging general interest using a side-by-side comparison of the top three U.S. auto manufacturers and their efforts to transition to the next era of the automobile. From this, new marketing and advertising techniques are offered to allow for a more widespread adoption and quicker transition to full EV lineups in the near future - essentially, closing the gap from interest to action.

ContributorsKonya, Nicholas M (Author) / Gray, Nancy (Thesis director) / White, Philip (Committee member) / Department of Finance (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

In theory, Electric Vehicle (EV) ownership and renewable energy seem like a perfect solution to our climate crisis; however, unless done properly, the effects can be less than ideal. We need to find a way to maximize the impact of our efforts to reduce carbon emissions, which is exactly what

In theory, Electric Vehicle (EV) ownership and renewable energy seem like a perfect solution to our climate crisis; however, unless done properly, the effects can be less than ideal. We need to find a way to maximize the impact of our efforts to reduce carbon emissions, which is exactly what the heart of my paper gets to. Carbon emissions are bad for the environment because they comprise a large majority of greenhouse gases. Greenhouse gases have recently become dramatically out of balance and have resulted in an increase in respiratory diseases from smog and air pollution, as well as extreme weather and an increase in wildfires. Getting these greenhouse gases back in balance and maintaining an ecological balance is the goal of sustainability. According to the Environmental Protection Agency (the EPA), transportation makes up 29% of greenhouse gas emissions in the US followed closely by electricity generation at 28%, which makes Electric Vehicles the perfect target for reducing greenhouse gas emissions<br/>Arizona has many unique constraints when it comes to its electric infrastructure and its electric generation energy mix, which means the impacts of EV ownership become extremely complicated.<br/> In my paper, I aim to address the question: What are the carbon impact effects of Electric Vehicles (EVs) in Arizona through the lens of 1) the time of day that charging occurs, 2) the infrastructure needed to support EV penetration and 3) the incentives given to the public to help provide the impetus for making greener choices? Using the best available research on how EVs are being adopted to reduce emissions, I will provide conclusive recommendations and a framework for how Arizona can best reduce carbon emissions through EVs.

ContributorsSherman, Jessica Janiece (Author) / Keeler, Lauren (Thesis director) / Shaeffer, Lisa (Committee member) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

Lithium ion batteries are quintessential components of modern life. They are used to power smart devices — phones, tablets, laptops, and are rapidly becoming major elements in the automotive industry. Demand projections for lithium are skyrocketing with production struggling to keep up pace. This drive is due mostly to the

Lithium ion batteries are quintessential components of modern life. They are used to power smart devices — phones, tablets, laptops, and are rapidly becoming major elements in the automotive industry. Demand projections for lithium are skyrocketing with production struggling to keep up pace. This drive is due mostly to the rapid adoption of electric vehicles; sales of electric vehicles in 2020 are more than double what they were only a year prior. With such staggering growth it is important to understand how lithium is sourced and what that means for the environment. Will production even be capable of meeting the demand as more industries make use of this valuable element? How will the environmental impact of lithium affect growth? This thesis attempts to answer these questions as the world looks to a decade of rapid growth for lithium ion batteries.

ContributorsMelton, John (Author) / Brian, Jennifer (Thesis director) / Karwat, Darshawn (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

One answer to the lack of general knowledge for alternative energy and integration topics is seen in the workforce development content Laboratory of Energy and Power Solutions has generated for the past 6 years. LEAPS is a world-changing organization that provides both technical and business solutions in areas of grid

One answer to the lack of general knowledge for alternative energy and integration topics is seen in the workforce development content Laboratory of Energy and Power Solutions has generated for the past 6 years. LEAPS is a world-changing organization that provides both technical and business solutions in areas of grid modernization, workforce development, and global energy access that facilitates the global transition to a resilient, low-carbon economy. This paper will aim to explain the contributions of David Hobgood, an Arizona State University senior, to LEAPS workforce development content through the course of the Spring 2022 semester. This paper goes into detail on the process of completing this educational content, amplifies key aspect, and presents the results of a two week pilot that presented the generated content.

ContributorsHobgood, David (Author) / Johnson, Nathan (Thesis director) / Janko, Samantha (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05
Description

As more electric vehicles (EVs) are adopted, users need a solution to meet their expectations when it comes to Level 2 EV Charging (EVC). Currently, Adaptive Charging (AC) Techniques are used in multi-unit, public, settings. In the future, AC should be utilized to provide an optimized charging experience for the

As more electric vehicles (EVs) are adopted, users need a solution to meet their expectations when it comes to Level 2 EV Charging (EVC). Currently, Adaptive Charging (AC) Techniques are used in multi-unit, public, settings. In the future, AC should be utilized to provide an optimized charging experience for the EV user in a single-unit residential application. In this experiment, an Electric Vehicle simulation tool was created using Python. A training dataset was generated from Alternative Fuels and Data Center (EVI-Pro) using charging data from Phoenix, Arizona. Similarly, the utility price plan chosen for this exercise was SRP Electric Vehicle Price plan. This will be the cost-basis for the thesis. There were four cases that were evaluated by the simulation tool. (1) Utility Guided Scheduling (2) Automatic Scheduling (3) Off-Site Enablement (4) Bidirectional enablement. These use-cases are some of the critical problems facing EV users when it comes to charging at home. Each of these scenarios and algorithms were proven to save the user money in their daily bill. Overall, the user will need some sort of weighted scenario that considers all four cases to provide the best solution to the user. All four scenarios support the use of Adaptive Charging techniques in residential level 2 electric vehicle chargers. By applying these techniques, the user can save up to 90% on their energy bill while offsetting the energy grid during peak hours. The adaptive charging techniques applied in this thesis are critical to the adoption of the next generation electric vehicles. Users need to be enabled to use the latest and greatest technology. In the future, individuals can use this report as a baseline to use an Artificial Intelligence model to make an educated case-by-case decision to deal with the variability of the data.

ContributorsSnyder, Jack (Author) / Wu, Meng (Thesis director) / Walsh, Stephanie (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2023-05
ContributorsSnyder, Jack (Author) / Wu, Meng (Thesis director) / Walsh, Stephanie (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2023-05
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Description
In March 2019, the United Nations Intergovernmental Panel on Climate Change (IPCC) released a report describing the critical importance of the next decade in mitigating the effects of climate change. From a consumer perspective, the most impactful method of reducing greenhouse gas emissions is by altering and/or reducing usage of

In March 2019, the United Nations Intergovernmental Panel on Climate Change (IPCC) released a report describing the critical importance of the next decade in mitigating the effects of climate change. From a consumer perspective, the most impactful method of reducing greenhouse gas emissions is by altering and/or reducing usage of personal and public transportation. Despite the significant technological advances in vehicle electrification, vehicle mileage, and hybrid technology, there is a gap in analysis performed about the relationship between oil prices and electric vehicle sales. This can be largely attributed to the large variation in oil and gas prices within the last decade and the short timeframe in which electric vehicles have been available to the average consumer. In addition to oil prices, significant driving factors of consumer electric vehicle purchases include battery range, availability and accessibly of charging infrastructure, and tax incentives. While consumers clearly have a significant role to play in driving electric vehicle sales, by virtue of the time commitment required to research and develop these emerging technologies, manufacturers have an arguably greater role in determining the market share EVs possess. The concept of “market disruption” versus “market replacement” is an intriguing explanation for the failure of electric vehicles, which as of early 2019 held a market share of less than 2%, to become the primary mode of transportation for most Americans, despite their wide-ranging financial and societal benefits, which will be a key challenge for the industry to overcome in the years to come.
ContributorsStout, Julia (Author) / Jennings, Cheryl (Thesis director) / Metcalfe, Carly (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description

The project goal is aimed to research the most pressing issues facing the lithium supply chain today. It then is tasked with charting a path into the future through strategic recommendations that will help reduce risk, and make a greener, cleaner, and more ethical supply chain.

ContributorsLeeson, Van (Author) / Kelman, Jonathan (Thesis director) / Wiedmer, Robert (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / Department of Supply Chain Management (Contributor)
Created2022-05
Description
As more electric vehicles (EVs) are adopted, users need a solution to meet their expectations when it comes to Level 2 EV Charging (EVC). Currently, Adaptive Charging (AC) Techniques are used in multi-unit, public, settings. In the future, AC should be utilized to provide an optimized charging experience for the

As more electric vehicles (EVs) are adopted, users need a solution to meet their expectations when it comes to Level 2 EV Charging (EVC). Currently, Adaptive Charging (AC) Techniques are used in multi-unit, public, settings. In the future, AC should be utilized to provide an optimized charging experience for the EV user in a single-unit residential application. In this experiment, an Electric Vehicle simulation tool was created using Python. A training dataset was generated from Alternative Fuels and Data Center (EVI-Pro) using charging data from Phoenix, Arizona. Similarly, the utility price plan chosen for this exercise was SRP Electric Vehicle Price plan. This will be the cost-basis for the thesis. There were four cases that were evaluated by the simulation tool. (1) Utility Guided Scheduling (2) Automatic Scheduling (3) Off-Site Enablement (4) Bidirectional enablement. These use-cases are some of the critical problems facing EV users when it comes to charging at home. Each of these scenarios and algorithms were proven to save the user money in their daily bill. Overall, the user will need some sort of weighted scenario that considers all four cases to provide the best solution to the user. All four scenarios support the use of Adaptive Charging techniques in residential level 2 electric vehicle chargers. By applying these techniques, the user can save up to 90% on their energy bill while offsetting the energy grid during peak hours. The adaptive charging techniques applied in this thesis are critical to the adoption of the next generation electric vehicles. Users need to be enabled to use the latest and greatest technology. In the future, individuals can use this report as a baseline to use an Artificial Intelligence model to make an educated case-by-case decision to deal with the variability of the data.
ContributorsSnyder, Jack (Author) / Wu, Meng (Thesis director) / Walsh, Stephanie (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2023-05