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Vehicles powered by electricity and alternative-fuels are becoming a more popular form of transportation since they have less of an environmental impact than standard gasoline vehicles. Unfortunately, their success is currently inhibited by the sparseness of locations where the vehicles can refuel as well as the fact that many of

Vehicles powered by electricity and alternative-fuels are becoming a more popular form of transportation since they have less of an environmental impact than standard gasoline vehicles. Unfortunately, their success is currently inhibited by the sparseness of locations where the vehicles can refuel as well as the fact that many of the vehicles have a range that is less than those powered by gasoline. These factors together create a "range anxiety" in drivers, which causes the drivers to worry about the utility of alternative-fuel and electric vehicles and makes them less likely to purchase these vehicles. For the new vehicle technologies to thrive it is critical that range anxiety is minimized and performance is increased as much as possible through proper routing and scheduling. In the case of long distance trips taken by individual vehicles, the routes must be chosen such that the vehicles take the shortest routes while not running out of fuel on the trip. When many vehicles are to be routed during the day, if the refueling stations have limited capacity then care must be taken to avoid having too many vehicles arrive at the stations at any time. If the vehicles that will need to be routed in the future are unknown then this problem is stochastic. For fleets of vehicles serving scheduled operations, switching to alternative-fuels requires ensuring the schedules do not cause the vehicles to run out of fuel. This is especially problematic since the locations where the vehicles may refuel are limited due to the technology being new. This dissertation covers three related optimization problems: routing a single electric or alternative-fuel vehicle on a long distance trip, routing many electric vehicles in a network where the stations have limited capacity and the arrivals into the system are stochastic, and scheduling fleets of electric or alternative-fuel vehicles with limited locations to refuel. Different algorithms are proposed to solve each of the three problems, of which some are exact and some are heuristic. The algorithms are tested on both random data and data relating to the State of Arizona.
ContributorsAdler, Jonathan D (Author) / Mirchandani, Pitu B. (Thesis advisor) / Askin, Ronald (Committee member) / Gel, Esma (Committee member) / Xue, Guoliang (Committee member) / Zhang, Muhong (Committee member) / Arizona State University (Publisher)
Created2014
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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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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