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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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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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Electric vehicles (EV’s) are quickly expanding in California. Improved battery technology, range, more competitive cost compared to gas cars, incentives and legislation have all led EV’s into the mainstream car market. Recently, Governor Newsom signed an executive order to require that all new passenger cars sold in California be zero-emission

Electric vehicles (EV’s) are quickly expanding in California. Improved battery technology, range, more competitive cost compared to gas cars, incentives and legislation have all led EV’s into the mainstream car market. Recently, Governor Newsom signed an executive order to require that all new passenger cars sold in California be zero-emission vehicles by 2035 making it the first state in the U.S. to do so. However, many cities are not ready for this massive shift to electric vehicles yet play a crucial role in helping to expand EV infrastructure and support policies that help the transition. While the state of California has made tremendous strides reducing CO2 from power plants with a major pivot to renewable energy, the same can’t be said for the transportation sector which represents approximately 40% of California’s overall emissions. California will be unable to meet its state climate and air quality goals without a major shift to zero emission vehicles. Although deploying EV chargers can be a complex process with many different stakeholders, the Electric Vehicle Readiness Plan (EVRP) provides California city planners with information to assist them in expanding critically needed EV infrastructure. EVRP serves as a guide to understanding the EV market, basics of EV charging, incentives, legislation, potential project partners, and also makes specific recommendations for cities to expand EV infrastructure to make EV charging more accessible now and for future EV drivers in cities across California.

ContributorsFolan, Thomas (Writer of accompanying material)
Created2021-02-04