Matching Items (3)
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Description
Motor gasoline and diesel contribute 30% to total energy related carbon dioxide (CO2) emissions in the U.S. However, this estimate only accounts for emissions from direct combustion and does not include indirect emissions from processing and fuel movement, even though indirect (scope 3) CO2 emissions are a significant contributor. Gasoline

Motor gasoline and diesel contribute 30% to total energy related carbon dioxide (CO2) emissions in the U.S. However, this estimate only accounts for emissions from direct combustion and does not include indirect emissions from processing and fuel movement, even though indirect (scope 3) CO2 emissions are a significant contributor. Gasoline and diesel flow through a complex supply chain from oil extraction to point of combustion and estimates of their indirect emissions are typically aggregated as national or regional averages and not available at county or city scale. This dissertation presents a novel method to quantify U.S. supply-chain CO2 emissions to the county-scale for gasoline and diesel consumed in the on-road sector. It considers how these fuels flow across the U.S. petroleum infrastructure consisting of pipelines, tankers, trucks, trains, refineries, and blenders. It resolves county-scale indirect CO2 emissions using publicly accessible data to allocate fuel movement between different links and transportation modes across the country. For most of the U.S., the exact volume of fuel moved between counties from combinations of refineries and transportation modes is not explicitly known. To estimate these fuel movements, I use linear optimization with supply and demand related constraints. Estimating on-road gasoline and diesel indirect CO2 emissions at high spatial resolution finds that on-road gasoline CO2 emissions increase by 24% and on-road diesel CO2 emissions increase by 18%. For both fuels there are large variations in the carbon intensity (kgCO2/gal) across the country and the relationship of county carbon intensity with explanatory variables related to fuel supply infrastructure is tested. Regression results indicate that presence of interstate highways, refineries and blenders are inversely related to carbon intensity while presence of fuel pipelines increases diesel carbon intensity. Finally, the on-road gasoline scope 3 CO2 emissions results are assessed in relation to indirect CO2 emissions from electricity consumption at the county scale to analyze the effectiveness of future electric vehicle (EV) transition actions. In this analysis, states with existing EV transition mandates (zero emission vehicle or ‘ZEV’ states) are shown to have on average 12% higher CO2 emissions reduction when transitioning to EVs, over non-ZEV states.
ContributorsMoiz, Taha (Author) / Gurney, Kevin R (Thesis advisor) / Dooley, Kevin J (Thesis advisor) / Parker, Nathan C (Committee member) / Arizona State University (Publisher)
Created2022
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Description
The phenomenon of global warming and climate change has increasingly attracted attention by researchers in the field of supply chain and operations management. Firms have developed efficient plans and intervention measures to reduce greenhouse gas (GHG) emissions. While a majority of research in supply chain management has adopted a firm-centric

The phenomenon of global warming and climate change has increasingly attracted attention by researchers in the field of supply chain and operations management. Firms have developed efficient plans and intervention measures to reduce greenhouse gas (GHG) emissions. While a majority of research in supply chain management has adopted a firm-centric view to study environmental management, this dissertation focuses on the context of GHG emissions reduction by considering a firm’s vertical and horizontal relationships with other parties, and the associated spillover effects. A theoretical framework is first proposed to facilitate the field's understanding of the possible spillover effects in GHG emissions reduction via vertical and horizontal interactions. Two empirical studies are then presented to test the spillover effect in GHG emissions reduction, focusing on the vertical interactions - when firms interact with their supply chain members. Drawing data from Bloomberg Environmental Social and Governance, and Bloomberg SPLC, this study conducts econometric analyses using various models. The results suggest that first, a higher level of supply chain GHG emissions is associated with the adoption of emissions reduction programs by a firm, and that this supply chain leakage contributes to the firm’s financial performance. Second, a firm's supply base innovativeness can contribute to its internal GHG emissions reduction, and this effect is contingent on a firm's supply base structure. As such, this dissertation answers the recent call in the field of supply chain and operations management for more empirical research in socially and environmentally responsible value chains. Further, this study contributes to the literature by providing a better understanding of the externalities that value chain members can impose on one another when pursuing sustainability goals.
ContributorsSong, Sining (Author) / Kull, Thomas (Thesis advisor) / Carter, Craig (Committee member) / Dong, Yan (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Intensive global animal agricultural practices have proved to be a cause for concern, resulting, in part, from consumer preferences and an increasing global demand for protein, especially meat. Countries like Argentina, contribute to Greenhouse Gas emissions substantially through their livestock sector. Improved resource management can help to promote sustainable agriculture

Intensive global animal agricultural practices have proved to be a cause for concern, resulting, in part, from consumer preferences and an increasing global demand for protein, especially meat. Countries like Argentina, contribute to Greenhouse Gas emissions substantially through their livestock sector. Improved resource management can help to promote sustainable agriculture by reducing the amount of water and energy used to produce livestock, and improve livestock practices in order to reduce GHG emissions. The integration of resource management between food, energy, and water systems can help to decrease livestock-based emissions, through efficiency improvements targeted towards animal agricultural practices. This paper can act as a reference for other researchers studying the FEW nexus, to increase their understanding of how to improve coordination across water, energy, and agricultural sectors by using Argentina’s livestock sector as an example. Furthermore, policy and decision makers in Argentina can use information about FEW systems to make informed decisions about the allocation and prioritization of integrated management between food, energy, and water sectors, to help them implement integrated mitigation strategies within their livestock sector to help reduce GHG emissions.
ContributorsGregorio, Gisselle Marie (Author) / White, Dave (Thesis director) / Eakin, Hallie (Committee member) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12