Is 100% Renewable Energy Possible For Our World By 2050?
According to a report released by Greenpeace, renewable energy can become a reality. From the report, Sustainable World Energy claims that this can actually be done providing our planet with 100% renewable energy by the year 2050, which will replace both nuclear and fossil fuel energy as our sources for electricity.
According to a report released by Greenpeace, renewable energy can become a reality. From the report, Sustainable World Energy claims that this can actually be done providing our planet with 100% renewable energy by the year 2050, which will replace both nuclear and fossil fuel energy as our sources for electricity.
However good this may sound, there are quite a few things the feasibility actually depends on financially, technically, and politically. Greenpeace considers it political arguments among some of the key nations to a big challenge. According to KumiNaidoo, who is the executive leader of Greenpeace, “…” must not let the fossil fuel industry’s lobbying stand in the way” and asks skeptics to read the report and “recognize that it (100% conversion to renewable energy) can be done and must be done for the benefit of people around the world.”
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Coincidentally, the timing of the release came slightly before the UN Climate Summit that took place in Paris. This could be considered to be ideally and strategically timed as the world leaders could use the report as a point of reference in handling or dealing with the matter of climate change.
The report on renewable energy is a collaborative effort of Greenpeace and the German Aerospace Center (DLR), among other scientific researchers who were consulted. Also, Greenpeace has indicated of doing a better job concerning forecasting clean energy as opposed to Goldman Sachs’ analysts, the department of energy in the U.S, and the International Energy Agency.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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