Scaling air quality effects from alternative jet fuel in aircraft and ground support equipment

Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 74-78).Many of the nation's largest airports, including Los Angeles International Airport, the Hartsfield-Jackson Atlanta International Airport, Chicago O'Hare International Airport and Washington Dulles International Airport are located within areas designated by the EPA as having ambient particulate matter concentrations that exceed National Ambient Air Quality standards. When inhaled, fine particulate matter can enter the blood stream from the lungs and increase the risk of illness and premature mortality. This thesis examines the potential of two jet fuel types, ultra low sulfur jet fuel and synthetic paraffinic kerosene, to reduce aviation's contribution to ambient particulate matter concentrations. Scaling factors were developed for airport criteria pollutant emissions to model alternative jet fuels in aircraft and ground support equipment. These linear scaling factors were based on currently published studies comparing standard diesel and jet fuels with alternative jet fuels. It was found that alternative jet fuels lower or maintain all air pollutant emissions considered (primary particulate matter, sulfur oxides, nitrous oxides, unburned hydrocarbons and carbon monoxide) for both aircraft and ground support equipment. To quantify the potential benefits of changing fuel composition on ambient particulate matter concentrations, a study of the Atlanta Hartsfield Jackson International Airport was completed using both emissions inventory analysis and atmospheric modeling. The atmospheric modeling captures both primary particulate matter and other emissions that react in the atmosphere to form secondary particulate matter. It was found that the use of an ultra low sulfur jet fuel in aircraft gas turbines could reduce the primary particulate matter inventory by 37% and synthetic paraffinic kerosene could reduce the primary particulate matter inventory by 64%. The atmospheric modeling predicts that an ultra low sulfur jet fuel in aircraft could reduce ambient particulate matter concentrations due to aircraft by up to 57% and synthetic paraffinic kerosene could reduce particulate matter concentrations due to aircraft by up to 67%. Thus, this study indicates that the majority of air quality benefits at Atlanta Hartsfield Jackson International Airport that could be derived from the two fuels considered can be captured by removing the sulfur from jet fuel through the use of an ultra low sulfur jet fuel.by Pearl Donohoo.S.M.in Technology and Polic

Examination of the Regional Supply and Demand Balance for Renewable Electricity in the United States Through 2015

This report examines the balance between the demand and supply of new renewable electricity in the United States on a regional basis through 2015. It expands on a 2007 NREL study (Swezey et al. 2007) that assessed the supplynational basis. As with the earlier study, this analysis relies on estimates of renewable energy supplies compared to demand for renewable energy generation needed to meet existing state renewable portfolio standard (RPS) policies in 28 states, as well as demand by consumers who voluntarily purchase renewable energy. However, it does not address demand by utilities that may procure cost-effective renewables through an integrated resource planning process or otherwise. The analysis examines two supply scenarios: 1) a business as usual (BAU) scenario based on current growth rates in renewable energy supply in each region and 2) a market-based scenario that differs only in an assumed higher overall level of wind energy development nationally (based on estimates from BTM Consult and referred to as “high wind case”). Because the BTM Consult (2008) projections are only available nationally, and are not broken out regionally, this analysis uses results from a recent study by DOE (DOE 2008) that presents a scenario of 20% wind energy penetration by 2030 to apportion the wind energy capacity by region

Growing Towards a Sustainable Biofuel Future: A Comprehensive Policy Strategy for Navigating Tradeoffs and Stakeholder Interests in U.S. Agriculture

Rapid growth of biofuels production in the United States is reshaping the agricultural industry, delivering both benefits and conflict among stakeholders. Routes forward on biofuels production should be viewed in the context of economic, land use, environmental, and energy security tradeoffs and their potential impacts in the future. This report discusses the current, emerging, and prospective conflicts arising from increased biofuels production, recommends policies to resolve these conflicts, and identifies likely areas of support and opposition from stakeholder groups. The report focuses heavily on ethanol, because ethanol accounts for 95 percent of U.S. biofuels production (Worldwatch 2006); however, many of the trade-offs and recommendations identified in the report can and should be applied to biofuels more generally. This report does not attempt to assess whether or not biofuels are the best option for transportation fuel use. Rather, it accepts that current mandates, policies, and market conditions will result in increased biofuel production and proposes policies to support growth in more economically and environmentally sustainable manners

Examination of the Regional Supply and Demand Balance for Renewable Electricity in the United States Through 2015: Projecting From 2009 Through 2015 (Revised)

This report examines the balance between the demand and supply of new renewable electricity in the United States on a regional basis through 2015. It expands on a 2007 NREL study (Swezey et al. 2007) that assessed the supply and demand balance on a national basis. As with the earlier study, this analysis relies on estimates of renewable energy supplies compared to demand for renewable energy generation needed to meet existing state renewable portfolio standard (RPS) policies in 28 states, as well as demand by consumers who voluntarily purchase renewable energy. However, it does not address demand by utilities that may procure cost-effective renewables through an integrated resource planning process or otherwise. The analysis examines two supply scenarios: 1) a business as usual (BAU) scenario based on current growth rates in renewable energy supply in each region and 2) a market-based scenario that differs only in an assumed higher overall level of wind energy development nationally (based on estimates from BTM Consult and referred to as “high wind case”). Because the BTM Consult (2008) projections are only available nationally, and are not broken out regionally, this analysis uses results from a recent study by DOE (DOE 2008) that presents a scenario of 20% wind energy penetration by 2030 to apportion the wind energy capacity by region

Design of wide-area electric transmission networks under uncertainty : methods for dimensionality reduction

Thesis: Ph. D. in Technology, Management, and Policy, Massachusetts Institute of Technology, Engineering Systems Division, 2014.Cataloged from PDF version of thesis.Includes bibliographical references (pages 141-148).The growth of location-constrained renewable generators and the integration of electricity markets in the United States and Europe are forcing transmission planners to consider the design of interconnection-wide systems. In this context, planners are analyzing major topological changes to the electric transmission system rather than more traditional questions of system reinforcement. Unlike a regional reinforcement problem where a planner may study tens of investments, the wide-area planning problem may consider thousands of investments. Complicating this already challenging problem is uncertainty with respect to future renewable-generation location. Transmission access, however, is imperative for these resources, which are often located distant from electrical demand. This dissertation frames the strategic planning problem and develops dimensionality reduction methods to solve this otherwise computationally intractable problem. This work demonstrates three complementary methods to tractably solve multi-stage stochastic transmission network expansion planning. The first method, the St. Clair Screening Model, limits the number of investments which must be. The model iteratively uses a linear relaxation of the multi-period deterministic transmission expansion planning model to identify transmission corridors and specific investments of interest. The second approach is to develop a reduced-order model of the problem. Creating a reduced order transformation of the problem is difficult due to the binary investment variables, categorical data, and networked nature of the problem. The approach presented here explores two alternative techniques from image recognition, the Method of Moments and Principal Component Analysis, to reduce the dimensionality. Interpolation is then performed in the lower dimensional space. Finally, the third method embeds the reduced order representation within an Approximate Dynamic Programming framework. Approximate Dynamic Programming is a heuristic methodology which combines Monte Carlo methods with a reduced order model of the value function to solve high dimensionality optimization problems. All three approaches are demonstrated on an illustrative interconnection-wide case study problem considering the Western Electric Coordinating Council.by Pearl Elizabeth Donohoo-Vallett.Ph. D. in Technology, Management, and Polic

Energy Content and Alternative Jet Fuel Viability

This article was produced under Project 28: Environmental Cost-Benefit Analysis of Alternative Jet Fuels and is funded by the Federal Aviation Administration and the U.S. Air Force Research Laboratory. Citation:Energy Content and Alternative Jet Fuel Viability. James I. Hileman, Russell W. Stratton, and Pearl E. Donohoo. Journal of Propulsion and Power 2010 26:6, 1184-1196. https://doi.org/10.2514/1.46232This paper examines the chemical composition and energy content of several fuel options that could hypothetically be used with the existing fleet of aircraft

Using market-based dispatching with environmental price signals to reduce emissions and water use at power plants in the Texas grid Using market-based dispatching with environmental price signals to reduce emissions and water use at power plants in the Te

Abstract The possibility of using electricity dispatching strategies to achieve a 50% nitrogen oxide (NOx) emission reduction from electricity generating units was examined using the grid of the Electricity Reliability Council of Texas as a case study. Simulations of a hypothetical policy demonstrate that imposing higher NOx prices induces a switch from some coal-fired generation to natural gas generation, lowering NOx emissions. The simulation is for a day with relatively high electricity demand and accounts for transmission constraints. In addition to the lowering of the NOx emissions, there are co-benefits of the redispatching of generation from coal to natural gas, including reductions in the emissions of sulfur oxides (24%-71%), Hg (16%-82%) and CO 2 (8.8%-22%). Water consumption was also decreased, by 4.4%-8.7%. Substantial reductions of NOx emissions can be achieved for an increased generation cost of 4-13%, which is due to the higher fuel price of gas relative to coal (assuming a price of $3.87 per MMBTU (MMBTU: million British thermal units) for natural gas, and$1.89 per MMBTU for coal). However, once the system has reduced NOx emissions by approximately 50%, there is little incremental reduction in emissions due to further increases in NOx prices

Using market-based dispatching with environmental price signals to reduce emissions and water use at power plants in the Texas grid

The possibility of using electricity dispatching strategies to achieve a 50% nitrogen oxide (NOx) emission reduction from electricity generating units was examined using the grid of the Electricity Reliability Council of Texas as a case study. Simulations of a hypothetical policy demonstrate that imposing higher NOx prices induces a switch from some coal-fired generation to natural gas generation, lowering NOx emissions. The simulation is for a day with relatively high electricity demand and accounts for transmission constraints. In addition to the lowering of the NOx emissions, there are co-benefits of the redispatching of generation from coal to natural gas, including reductions in the emissions of sulfur oxides (24%–71%), Hg (16%–82%) and CO2 (8.8%–22%). Water consumption was also decreased, by 4.4%–8.7%. Substantial reductions of NOx emissions can be achieved for an increased generation cost of 4–13%, which is due to the higher fuel price of gas relative to coal (assuming a price of $3.87 per MMBTU (MMBTU: million British thermal units) for natural gas, and$1.89 per MMBTU for coal). However, once the system has reduced NOx emissions by approximately 50%, there is little incremental reduction in emissions due to further increases in NOx prices.National Science Foundation (U.S.) (Grant number EFRI-0835414