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Dive into the research topics where Philip J. Wolfe is active.

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Featured researches published by Philip J. Wolfe.


Environmental Research Letters | 2014

Quantifying the climate impacts of albedo changes due to biofuel production: a comparison with biogeochemical effects.

Fabio Caiazzo; Robert Malina; Mark D. Staples; Philip J. Wolfe; Steve H.L. Yim; Steven R.H. Barrett

Lifecycle analysis is a tool widely used to evaluate the climate impact of greenhouse gas emissions attributable to the production and use of biofuels. In this paper we employ an augmented lifecycle framework that includes climate impacts from changes in surface albedo due to land use change. We consider eleven land-use change scenarios for the cultivation of biomass for middle distillate fuel production, and compare our results to previous estimates of lifecycle greenhouse gas emissions for the same set of land-use change scenarios in terms of CO2e per unit of fuel energy. We find that two of the land-use change scenarios considered demonstrate a warming effect due to changes in surface albedo, compared to conventional fuel, the largest of which is for replacement of desert land with salicornia cultivation. This corresponds to 222 gCO2e=MJ, equivalent to 3890% and 247% of the lifecycle GHG emissions of fuels derived from salicornia and crude oil, respectively. Nine of the land-use change scenarios considered demonstrate a cooling effect, the largest of which is for the replacement of tropical rainforests with soybean cultivation. This corresponds to 161 gCO2e=MJ, or 28% and 178% of the lifecycle greenhouse gas emissions of fuels derived from soybean and crude oil, respectively. These results indicate that changes in surface albedo have the potential to dominate the climate impact of biofuels, and we conclude that accounting for changes in surface albedo is necessary for a complete assessment of the aggregate climate impacts of biofuel production and use.


Environmental Science & Technology | 2011

Impact of Aviation Non-CO2 Combustion Effects on the Environmental Feasibility of Alternative Jet Fuels

Russell W. Stratton; Philip J. Wolfe; James I. Hileman

Alternative fuels represent a potential option for reducing the climate impacts of the aviation sector. The climate impacts of alternatives fuel are traditionally considered as a ratio of life cycle greenhouse gas (GHG) emissions to those of the displaced petroleum product; however, this ignores the climate impacts of the non-CO(2) combustion effects from aircraft in the upper atmosphere. The results of this study show that including non-CO(2) combustion emissions and effects in the life cycle of a Synthetic Paraffinic Kerosene (SPK) fuel can lead to a decrease in the relative merit of the SPK fuel relative to conventional jet fuel. For example, an SPK fuel option with zero life cycle GHG emissions would offer a 100% reduction in GHG emissions but only a 48% reduction in actual climate impact using a 100-year time window and the nominal climate modeling assumption set outlined herein. Therefore, climate change mitigation policies for aviation that rely exclusively on relative well-to-wake life cycle GHG emissions as a proxy for aviation climate impact may overestimate the benefit of alternative fuel use on the global climate system.


Bulletin of the American Meteorological Society | 2016

Impact of aviation on climate: FAA’s Aviation Climate Change Research Initiative (ACCRI) Phase II

Guy P. Brasseur; Mohan Gupta; Bruce E. Anderson; Sathya Balasubramanian; Steven R.H. Barrett; David P. Duda; Gregggg Fleming; Piers M. Forster; Jan S. Fuglestvedt; Andrew Gettelman; Rangasayi N. Halthore; S. Daniel Jacob; Mark Z. Jacobson; Arezoo Khodayari; K. N. Liou; Marianne Tronstad Lund; Richard C. Miake-Lye; Patrick Minnis; Seth Olsen; Joyce E. Penner; Ronald G. Prinn; Ulrich Schumann; Henry B. Selkirk; Andrei P. Sokolov; Nadine Unger; Philip J. Wolfe; Hsi-Wu Wong; Donald Wuebbles; Bingqi Yi; Ping Yang

AbstractUnder the Federal Aviation Administration’s (FAA) Aviation Climate Change Research Initiative (ACCRI), non-CO2 climatic impacts of commercial aviation are assessed for current (2006) and for future (2050) baseline and mitigation scenarios. The effects of the non-CO2 aircraft emissions are examined using a number of advanced climate and atmospheric chemistry transport models. Radiative forcing (RF) estimates for individual forcing effects are provided as a range for comparison against those published in the literature. Preliminary results for selected RF components for 2050 scenarios indicate that a 2% increase in fuel efficiency and a decrease in NOx emissions due to advanced aircraft technologies and operational procedures, as well as the introduction of renewable alternative fuels, will significantly decrease future aviation climate impacts. In particular, the use of renewable fuels will further decrease RF associated with sulfate aerosol and black carbon. While this focused ACCRI program effort...


Environmental Science & Technology | 2016

Costs of IQ Loss from Leaded Aviation Gasoline Emissions

Philip J. Wolfe; Amanda Giang; Akshay Ashok; Noelle E. Selin; Steven R.H. Barrett

In the United States, general aviation piston-driven aircraft are now the largest source of lead emitted to the atmosphere. Elevated lead concentrations impair childrens IQ and can lead to lower earnings potentials. This study is the first assessment of the nationwide annual costs of IQ losses from aircraft lead emissions. We develop a general aviation emissions inventory for the continental United States and model its impact on atmospheric concentrations using the community multi-scale air quality model (CMAQ). We use these concentrations to quantify the impacts of annual aviation lead emissions on the U.S. population using two methods: through static estimates of cohort-wide IQ deficits and through dynamic economy-wide effects using a computational general equilibrium model. We also examine the sensitivity of these damage estimates to different background lead concentrations, showing the impact of lead controls and regulations on marginal costs. We find that aircraft-attributable lead contributes to


Progress in Aerospace Sciences | 2011

Assessing the environmental impacts of aircraft noise and emissions

Anuja Mahashabde; Philip J. Wolfe; Akshay Ashok; Christopher Dorbian; Qinxian He; Alice Fan; Stephen P. Lukachko; Aleksandra Mozdzanowska; Christoph Wollersheim; Steven R.H. Barrett; Maryalice Locke; Ian A. Waitz

1.06 billion 2006 USD (


Atmospheric Environment | 2011

Estimating the climate and air quality benefits of aviation fuel and emissions reductions

Christopher Dorbian; Philip J. Wolfe; Ian A. Waitz

0.01-


Transport Policy | 2014

Near-airport distribution of the environmental costs of aviation

Philip J. Wolfe; Steve H.L. Yim; Gideon Lee; Akshay Ashok; Steven R.H. Barrett; Ian A. Waitz

11.6) in annual damages from lifetime earnings reductions, and that dynamic economy-wide methods result in damage estimates that are 54% larger. Because the marginal costs of lead are dependent on background concentration, the costs of piston-driven aircraft lead emissions are expected to increase over time as regulations on other emissions sources are tightened.


Progress in Aerospace Sciences | 2014

Economic and environmental assessment of liquefied natural gas as a supplemental aircraft fuel

Mitch R. Withers; Robert Malina; Christopher K. Gilmore; Jonathan Gibbs; Chris Trigg; Philip J. Wolfe; Parthsarathi Trivedi; Steven R.H. Barrett


Transportation Research Part D-transport and Environment | 2016

Costs and benefits of US aviation noise land-use policies

Philip J. Wolfe; Robert Malina; Steven R.H. Barrett; Ian A. Waitz


Atmospheric Environment | 2013

Intercomparison of the capabilities of simplified climate models to project the effects of aviation CO2 on climate

Arezoo Khodayari; Donald J. Wuebbles; Seth Olsen; Jan S. Fuglestvedt; Terje K. Berntsen; Marianne Tronstad Lund; Ian A. Waitz; Philip J. Wolfe; Piers M. Forster; Malte Meinshausen; David S. Lee; Ling L. Lim

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Steven R.H. Barrett

Massachusetts Institute of Technology

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Ian A. Waitz

Massachusetts Institute of Technology

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Akshay Ashok

Massachusetts Institute of Technology

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Robert Malina

Massachusetts Institute of Technology

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Andrei P. Sokolov

Massachusetts Institute of Technology

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Christopher Dorbian

Massachusetts Institute of Technology

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Fabio Caiazzo

Massachusetts Institute of Technology

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Mark D. Staples

Massachusetts Institute of Technology

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Ronald G. Prinn

Massachusetts Institute of Technology

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