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Oil, Natural Gas Companies Urged to Leverage Infrastructure, Expertise to Advance Biden Climate Agenda


Oil, Natural Gas Companies Urged to Leverage Infrastructure, Expertise to Advance Biden Climate Agenda
Oil and natural gas companies can play a vital role in achieving President Biden’s ambitious climate change goals if they choose to embrace it.
In remarks delivered at CERAweek by IHS Markit, which was held in early March, Department of Energy (DOE) Secretary Jennifer Granholm and Special Presidential Envoy for Climate John Kerry said fossil fuel companies should leverage their existing infrastructure and expertise to help decarbonize the energy sector through new technologies. 
These include carbon capture, utilization and storage (CCUS), along with green and blue hydrogen, all of which will be vital to meeting Biden’s goals of a carbon emissions free power sector by 2035 and a carbon neutral economy by 2050. ....

United States , France General , Mike Sommers , John Kerry , Jennifer Granholm , Department Of Energy , Un Climate Change Congress , Us Energy Information Administration , Intergovernmental Panel On Climate , American Petroleum Institute , Intergovernmental Panel On Climate Change , Term Energy Outlook , President Biden , Secretary Jennifer Granholm , Special Presidential Envoy , Climate John Kerry , Intergovernmental Panel , Climate Change , North America , Building Trades Unions , Petroleum Institute , Information Administration , Short Term Energy Outlook , Henry Hub , Climate Accord , Paris Agreement ,

Using machine learning to solve engineering challenges | WSU Insider


January 27, 2021
Designing safe and workable autonomous, electric-powered flight is a complex engineering problem.
To use electric power instead of fossil fuels to fly requires systems that are light, use a minimum amount of energy, make proper flying decisions, and are safe. Even a relatively simple UAV can have hundreds of thousands of design possibilities for its power system, only a few of which are the best for maximizing safety and efficiency.
A WSU research team recently developed and used a machine learning algorithm to find the five optimal designs out of about 250,000 possible designs for an electric power system for an autonomous unmanned aerial vehicle by evaluating less than 0.05% of the designs. The work could mean time and cost savings for engineers who are seeking to solve complex engineering problems to maximize safety and sustainability. The researchers presented their work at the IEEE Energy Conversion Congress and Exposition. ....

Oregon State University , United States , Joan Berry , Syrine Belakaria , Jana Doppa , School Of Electrical Engineering , Microsoft Research Graduate Fellowship , Energy Conversion Congress , Conversion Congress , Joan Berry Chair Associate Professor , Electrical Engineering , Oregon State , Amazon Prime , ஓரிகந் நிலை பல்கலைக்கழகம் , ஒன்றுபட்டது மாநிலங்களில் , ஜோன் பெர்ரி , பள்ளி ஆஃப் மின் பொறியியல் , மைக்ரோசாஃப்ட் ஆராய்ச்சி பட்டதாரி கூட்டுறவு , ஆற்றல் மாற்றம் காங்கிரஸ் , மாற்றம் காங்கிரஸ் , ஜோன் பெர்ரி நாற்காலி இணை ப்ரொஃபெஸர் , மின் பொறியியல் , ஓரிகந் நிலை , அமேசான் ப்ரைம் ,