Social, political, and economic trends suggest that the United States may soon join other United Nations Framework Convention on Climate Change (UNFCCC) countries in drafting substantive, national climate change policy. After providing a brief overview of past and present climate action taken both nationally and internationally, this paper explores different economic solutions to address the externalities of fossil fuel emissions. Alternatives include command-and-control regulation, a carbon tax, and a cap-and-trade program. Several factors, including domestic political anti-tax sentiment, suggest that a cap-and-trade framework is the most promising market-based alternative to reduce carbon emissions within the United States’s electricity sector. Case studies focus on the power generation components of four Texas utilities: Austin Energy, CPS Energy of San Antonio, NRG Energy, and Luminant and assess cap-and-trade’s ramifications on electricity prices. Utilities would seek to pass through to customers in the form of higher electricity prices up to 100 percent of expenses incurred from mitigating greenhouse gas (GHG) emissions. Three primary factors will determine how a given carbon dioxide cap-and-trade allowance price will affect the electricity price charged by utilities: the carbon intensity of the generation fuel mix, whether the wholesale electricity market is regulated or competitive, and whether greenhouse gas allowances are auctioned or grandfathered to covered entities. Consumer elasticity would determine resulting demand for the higher priced energy. Relatively inelastic electricity consumption could cause electricity sector customers to incur financial losses approximately eight times larger than producers by the year 2020 under a mature cap-and-trade framework. Furthermore, evidence suggests market-based GHG reduction tools such as a cap-and-trade schema alone are not sufficient to decarbonize the electricity generation sector. Without complementary regulatory policies that mandate transition to clean energy sources, cap-and-trade will only succeed in redistributing the opportunity cost associated with the carbon externality. / text

Biomass is the world’s largest renewable energy source, accounting for approximately 10% of global primary energy supply, and 5% of energy consumed in the United States. Prominent national programs like the U.S. Renewable Fuel Standard incentivize increased use of biomass, primarily as a transportation fuel. There has been comparatively little government support for using biomass as a renewable feedstock for the chemical sector. Such asymmetry in incentives can lead to sub-optimal outcomes in the allocation of biomass toward different uses. Greenhouse gas reduction is among the most cited benefits of bioenergy and bio-based products, however, there is increasing controversy about whether increased use of biomass can actually contribute to greenhouse gas emission targets. If biomass is to play a role in current and future greenhouse gas mitigation efforts its use should be guided by efficient use of natural and economic resources. This thesis addresses these questions through a series of case studies, designed to highlight important tradeoffs in the use of biomass for greenhouse gas mitigation. Should biomass be used as a fuel, a chemical feedstock, or neither? The first case study in this thesis focuses on the ‘fuel vs feedstock’ question, examining the greenhouse gas implications of expanding the scope of the U.S. Renewable Fuel Standard to include credits for bioethylene, an important organic chemical readily produced from bioethanol. Results suggest that an expanded policy that includes bioethylene as an approved use for ethanol would provide added flexibility without compromising greenhouse gas targets – a clear win scenario. Having established that bioethylene based plastics can achieve similar greenhouse gas reductions to bioethanol used as fuel, this thesis expands the analysis by considering how the greenhouse gas emissions from a wider range of bio-based plastics compare to each of the main commodity thermoplastics produced in the U.S. The analysis demonstrates that there are large uncertainties involved in the life cycle greenhouse gas emissions from bio-based plastics, and that only a subset of pathways are likely to be preferable to conventional plastics. The following chapter then builds on the existing model to compare the greenhouse gas mitigation potential of bio-based plastics to the potential for reducing emissions by adopting low carbon energy for plastics production. That chapter concludes that switching to renewable energy across the supply chain for conventional plastics energy cuts greenhouse gas emissions by 50-75%, achieving a greater reduction, with less uncertainty and lower cost, than switching to corn-based biopolymers – the most likely near-term biopolymer option. In the long run, producing bio-based plastics from advanced feedstocks (e.g. switchgrass) and/or with renewable energy likely offers greater emission reductions. Finally, this thesis returns to the dominant form of policy surrounding biomass use: biofuel mandates. That study takes a consequential approach to the ‘fuel or neither’ question. Specifically, this work examines how petroleum refineries are likely to adjust their production in response to biofuel policies, and what this implies for the success of these policies. The research demonstrates that biofuel policies induce a shift toward greater diesel production at the expense of both gasoline and non-combustion petroleum products. This has the potential to result in an increase in greenhouse gas emissions, even before accounting for the emissions from producing the biofuels themselves.

The objective of the research is to develop various green-house gas (GHG) mitigations scenarios in the energy demand and supply sectors for state of Florida through energy and environment modeling tool called LEAP (Long Range Energy Alternative Planning System Model) for 2010-2050. The GHG mitigation scenarios consist of various demand and supply side scenarios. One of the GHG mitigation scenarios is crafted by taking into account the available renewable resources potential for power generation in the state of Florida and then the comparison has been made for transformation sector and corresponding GHG emissions through this newly developed mitigation scenario versus Business As Usual and Florida State Policy scenario. Moreover two master mitigation scenarios (Electrification and Efficiency and Lifestyle) were crafted through combination of certain GHG mitigation scenarios. The energy demand and GHG emissions assessment is performed for both master mitigation scenarios versus business As Usual scenario for 2010 – 2050. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection

This dissertation describes methodologies for evaluating a set of anticipated and recommended energy infrastructure changes essential to achieving deep greenhouse gas emissions reductions in a dense urban area: Deep penetration of grid-connected wind power, widespread adoption of electric heat pumps, multiple potential services from extensive deployment of distributed generation, and increasing focus on auxiliary energy in heating and cooling systems as cities continue to grow in population and height. The focus of the research presented here was New York City and the surrounding New York State electricity supply infrastructure. After developing a wind power model based on an NREL model wind data set, a linear program model showed that after passing a low-curtailment threshold of 10 GW, energy-related wind power curtailment is driven largely by continuous operation of baseload generation and misalignment of winter wind power peaks and existing summer electricity demand peaks. Separate analyses showed the potential for increase wind-generated electricity utilization through increased use of heat pumps in New York City. A suite of models was developed to assess the zonal effects in New York City of deep statewide penetration of wind power and widespread adoption of electric heat pumps in New York City. New York City was found to have highly fluctuating net loads in deep wind penetration scenarios. Further, with large amounts of existing space heating demand replaced by heat pumps, the increased winter electricity demand peaks occurred infrequently enough that the additional generation capacity required to meet those loads would have a capacity factor well less than 1%. Small-scale, natural gas-fueled internal combustion engines deployed as distributed generation were shown to improve the ability of the system to respond to load fluctuations, to be a more economical option than new large centralized generators at the low capacity factor, and to reduce overall system gas usage due to mitigating part-load effects and startup fuel requirements. This distributed generation, which could in reality also include combined heat and power systems as well as battery storage standing alone, connected to rooftop solar or in electric vehicles, also has potential system resilience benefits. The last research effort described here included long-term monitoring of a high-rise mixed use building’s hydronic system before and after a retrofit of hydraulic equipment. Significant annual reductions of 40% energy usage for pumping were computed, primarily due to part-load flow control effects. Analysis of the monitoring data, as well as computations related to theoretical performance of hydraulic networks, showed that this approach also has potential to reduce peak loads, particularly in high-rise buildings.

Exposure to air pollution is a leading cause of premature death worldwide. An increasing part of air pollution results from industrial activity and the production of energy. When unregulated, emissions of air pollutants constitute a market failure as polluters do not bear the costs imposed on society at large. My dissertation develops empirical methods to test the effectiveness and distributional effects of environmental policies designed to address this externality. To do so, I apply econometrics and data science techniques on large datasets from cutting-edge research in environmental science and engineering that I match with microeconomic data. The dissertation makes use of new datasets on air pollution derived from satellite imagery, as well as micro-level data on power plant operations and housing transactions across the United States. Chapter 1 assembles unit-level data to disentangle the factors that led US power plants to achieve the unprecedented reductions in emissions of the past fifteen years. I calculate the costs incurred by the electricity generation sector and compare these costs to the correspond- ing health benefits. In hedonic regressions, I use these shocks to emissions to estimate the demand for clean air with micro-level data on housing transactions. Chapter 2 studies the causal impacts and evaluates the distributional effects of stringent emissions markets that were put in place to target power plants emissions of air pollutants in the Eastern US. Chapter 3 uses new satellite imagery to document the inequalities in the exposure to air pollution in American cities and their recent evolutions.

Geological carbon sequestration, as a method of atmospheric greenhouse gas reduction, is at the technological forefront of the climate change movement. During sequestration, carbon dioxide (CO���) gas effluent is captured from coal fired power plants and is injected into a storage saline aquifer or depleted oil reservoir. In an effort to fully understand and optimize CO��� trapping efficiency, the capillary trapping mechanisms that immobilize subsurface CO��� were analyzed at the pore-scale. Pairs of proxy fluids representing the range of in situ supercritical CO��� and brine conditions were used during experimentation. The two fluids (identified as wetting and non-wetting) were imbibed and drained from a flow cell apparatus containing a sintered glass bead column. Experimental and fluid parameters, such as interfacial tension, fluid viscosities and flow rate, were altered to characterize their relative impact on capillary trapping. Computed x-ray microtomography (CMT) was used to identify immobilized CO��� (non-wetting fluid) volumes after imbibition and drainage events. CMT analyzed data suggests that capillary behavior in glass bead systems do not follow the same trends as in consolidated natural material systems. An analysis of the disconnected phases in both the initial and final flood events indicate that the final (residual) amount of trapped non-wetting phase has a strong linear dependence on the original amount of non-wetting phase (after primary imbibition), which corresponds to the amount of gas or oil present in the formation prior to CO��� injection. More importantly, the residual trapped gas was also observed to increase with increasing non-wetting fluid phase viscosity. This suggests that CO��� sequestration can be optimized in two ways: through characterization of the trapped fluid present in the formation prior to injection and through alterations to the viscosity of supercritical CO2. / Graduation date: 2013

We study timing effects of carbon mitigation and solar radiation management (SRM) policies for correlated pollutants, CO₂ and SO₂. We show that national levels of carbon and sulfur emissions quotas and SRM implementation are positively correlated with each other. First-mover advantages exist when deciding both carbon quotas and SRM levels. Moreover, we use an example to illustrate that if international equity is considered, governments would be willing to choose SRM levels before carbon quotas since it yields higher payoffs and less acid rain and droughts damages. This timing was neglected by all previous theoretical economic models on geoengineering.

Diss.--New Delhi Jawaharlal Nehru Univ.

Thesis (M.A.)--University of Canterbury, 2008. / Typescript (photocopy). Includes bibliographical references (leaves 79-91). Also available via the World Wide Web.

Thesis (Ph. D.)--Universität St. Gallen, 2001. / "Dissertation Nr. 2547." Includes bibliographical references (p. 231-270).