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World’s Long-Term Solar Energy Plan Opens a Door for Cleaner Earth

The last three-month period of the 2015 three gigawatts of solar photovoltaics installed in the U.S. and that is a really good number for a new industry. Total installations of Solar cells in 2015 is 7.9 gigawatts, in 2014, this figure was 6.3 gigawatts.

Daniel Okafor
Daniel OkaforSenior AI Reporter
1 min read
World’s Long-Term Solar Energy Plan Opens a Door for Cleaner Earth

The last three-month period of the 2015 three gigawatts of solar photovoltaics installed in the U.S. and that is a really good number for a new industry.

Total installations of Solar cells in 2015 is 7.9 gigawatts, in 2014, this figure was 6.3 gigawatts. Even the number of 2015 is high, investor plan to double the solar panel installation, they are planning to install 15.4 gigawatts in 2016. Luckily the USA is not alone in this. A German-based research team says; there will be 54 gigawatts of solar panel will be installed worldwide in 2015 alone. The biggest consumer of electricity China will plan to install 180 gigawatts by the end of 2020, followed by the U.S. 83 gigawatts and 57 gigawatts in Japan.
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READ ALSO: Solar Energy Balloons Can Be The Answer for Bad Weather Days
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This high number of solar panel installations happened because of the falling cost of solar panels and the other component that use it. The Congress passes a spending bill that includes a five-year extension of the investment tax credit for the firms who installs wind power and solar energy stations. This investment text credit lowers the cost of the businesses about 30 percent. After this tax credit ends, it will continue 10 percent for commercial, but no credits will continue for regular homes installments.
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Original article: MIT News
Other Sources: Steady increase to 92 GW annual solar installations by 2020
                            What is solar photovoltaics?
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Daniel Okafor

Daniel Okafor

Senior AI Reporter

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.

All stories by Daniel Okafor (316)