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Study finds methane leaks from three large US natural gas fields in line with EPA estimates

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We are beginning to get a sense of regional variation in methane emissions from natural gas production. The gas fields we studied for this paper produced about 20% of the natural gas in the United States, and more than half the shale gas, so this moves us closer to understanding methane leaks from US natural gas production.

Gas 150
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EPA proposes rule for nationwide 30% cut in GHG from existing power plants by 2030 relative to 2005

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The US Environmental Protection Agency (EPA) released the already widely-discussed (albeit without much detail) “Clean Power Plan” proposal, which mandates a national average 30% cut in greenhouse gas emissions from existing power plants from 2005 levels by 2030. The use of coal by the power sector will decrease by roughly 30 to 32% in 2030.

2005 210
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Modelling the Impact of PHEVs on Ozone in Denver

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Researchers at the University of Colorado, Boulder and the National Renewable Energy Laboratory (NREL) modeled the emissions impact had plug-in hybrid electric vehicles (PHEVs) replaced light duty gasoline vehicles in the Denver, Colorado area in summer 2006. Ozone concentration increases were modeled for small areas near central Denver.

Denver 170
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Study concludes that NG leakage higher than reflected in inventories; transportation fuel climate benefits questioned

Green Car Congress

A review of 20 years of technical literature on natural gas (NG) emissions in the United States and Canada comprising more than 200 papers has concluded that official inventories consistently underestimate actual CH 4 emissions due to leakage from the natural gas system. Definitions of error bar bounds vary between studies. (US,

Climate 247
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Study finds cities can reduce CO2 more easily from residential conservation than transportation

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The CPP is intended to reduce greenhouse gas emissions from power plants. The 11 cities analyzed in the study are Atlanta, Boston, Chicago, Cleveland, Denver, Houston, Los Angeles, Miami, Philadelphia, Phoenix, and Seattle. Changing circumstances could alter the model’s projections—e.g.,