E.V.s Start With a Bigger Carbon Footprint. But That Doesn't Last.
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
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64% : And a study conducted in India by RMI, a nonprofit organization that works to increase sustainable energy systems, found that the country still showed net gains for B.E.V.s even though it generates 75 percent of its electricity from coal.58% : That's due to the manufacturing and disposal of B.E.V.s -- specifically their batteries -- as well as a reliance on coal to create the electricity that powers them.
58% : Mr. Keoleian said he expects that electric vehicle emissions will improve, even in those U.S. counties that rely on coal to create power for the vehicless.
57% : "In the future, B.E.V. emissions will decrease due to the retirement of coal plants and the increase in renewable energy sources," he said.
51% : Of the more than 3,000 counties in the United States, 78 had increased overall emissions from electric sedans than from internal combustion vehicles -- a result attributable to the fact that, in these counties, most of the electricity was generated from coal, said Greg Keoleian, director of the Center for Sustainable Systems at the University of Michigan and lead author of the study.
50% : All of the criticisms of B.E.V.s will soon be a thing of the past, said Mr. Hoekstra, as battery production becomes cleaner and begins to last the lifetime of a vehicle, while electricity generation moves away from coal.
49% : One of the main critiques of B.E.V.s has centered on a reliance on coal to produce the electricity needed to power these vehicles, along with the emissions produced by battery production and the shortness of battery life.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.