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Study finds GWP of electrolyzed hydrogen to meet ORD’s fuel needs would be 2.5x that of fossil fuels with 2020 grid mix

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From those, he learned of multiple plans for how the US could feasibly achieve a fully renewable grid by the year 2035. As a part of the study, Ansell assumed the adoption of one of the NREL zero emissions electric grids—one that has heavy concentrations of solar, wind, and other renewable energy sources.

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Sandia study finds underground geologic storage of hydrogen could boost transportation, energy security

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The main findings of the economic analysis, published in the International Journal of Hydrogen Energy , show that geologic limitations rather than city demand cause a larger disparity between costs from one city to the next. Such storage options, Dedrick said, are needed to realize the full potential of hydrogen for transportation.

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Smart Charging: How AI and IoT are Transforming EV Charging

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This not only helps users save on costs by avoiding peak energy periods but also aids in balancing the grid’s load and integrating more renewable energy sources. For instance, AI can schedule charging when there is a surplus of solar or wind energy available, leading to a more sustainable energy consumption pattern.

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How EVs Are Reducing Carbon (CO2) Emissions

Blink Charging

The upstream, “well to wheel” emissions of the EV are linked to electricity generation and the electrical grid, with lower emissions in regions that use more renewable energy sources.

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Scientists debate: could renewable energy entirely replace fossil fuels in U.S. by 2050?

Green Car Reports

Scientists generally debate their studies and projections in relatively civil language, but perhaps the currently adversarial tenor of U.S. A 2015 study on the potential for renewable energy use in the U.S. politics has spilled over into science.

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Microsoft Predicts Weather for Individual Farms

Cars That Think

Now, researchers at Microsoft have developed a framework called DeepMC that can very accurately predict local weather, and could be used by farmers, renewable energy producers, and others. DeepMC uses machine learning and artificial intelligence to localize predications related to weather and climate. "We

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