US Government , Investing $36 Million on , Ocean-Based Carbon Capture.<br />'Time' reports that the United States Department of Energy <br />(DOE) is looking to distribute $36 million toward projects <br />aimed at scaling up ocean-based carbon removal technology.<br />11 scientific projects across the U.S. will receive additional <br />funding to help determine how much ocean-based carbon <br />capture could mitigate the impact of climate change.<br />'Time' reports that oceans could <br />theoretically be manipulated to <br />absorb billions of tons of carbon dioxide.<br />Current experimental methods include <br />alkaline materials like lime being dumped into <br />the water to consume greenhouse gases.<br />Other approaches include creating algal <br />blooms or sinking plant biomass in order to <br />prevent it from decomposing and releasing CO2.<br />Other approaches include creating algal <br />blooms or sinking plant biomass in order to <br />prevent it from decomposing and releasing CO2.<br />'Time' reports that the current array of <br />ocean-based carbon capture technologies have only <br />been able to remove negligible amounts of carbon. .<br />The different approaches all require significant <br />bolstering before they could prove to make <br />a difference in the fight against climate change.<br />The DOE's ARPA-E office, which is dedicated to developing new <br />technologies, launched a program to create sensors and computer <br />models to determine the efficacy of ocean-based carbon capture.<br />Reaching President Biden’s ambitious decarbonization goals and avoiding the worst impacts of climate change will require a wide range of innovative climate solutions, Jennifer Granholm, U.S. Secretary of Energy, via 'Time'.<br />... from common-sense approaches <br />like improving energy efficiency <br />to novel applications like utilizing <br />the ocean’s natural carbon removal <br />abilities to reduce greenhouse gas <br />pollution from the atmosphere, Jennifer Granholm, U.S. Secretary of Energy, via 'Time'
