US wind energy prices are at an all-time low
Renewables are a hot topic in the field of energy production in the United States, and now could be a smart time to start investing. According to a new report from the U.S. Department of Energy and and Lawrence Berkeley National Laboratory (Berkeley Lab), wind energy pricing right now is at an all-time low due to a number of factors.
"Wind energy prices—particularly in the central United States—have hit new lows, with utilities selecting wind as the low cost option," Berkeley Lab Senior Scientist Ryan Wiser said in a new report releasing this data. "Moreover, enabled by technology advancements, wind projects are economically viable in a growing number of locations throughout the U.S."
This lower price for wind power has led to other favorable effects. A lower price for wind turbines has also helped to push down overall project installation costs—the report notes that wind turbine prices have dropped by as much as 40 percent since 2008, with a cost of $1,710/kW for the average wind project installed in 2014 (reduced nearly $600/kW compared to similar projects installed in 2009).
Less overhead cost in project installation has, in turn, intensely improved wind energy’s standing as a competitive alternative to traditional energy sources. The situation as one of the lowest priced sources has also created an increase in demand for wind energy from both individual commercial consumers and electric utility companies.
All of these factors together are helping to legitimize wind energy as a vital and increasingly reliable source of energy for the United States public:
Wind is a credible source of new electricity generation in the United States. Wind power capacity additions in the United States rebounded in 2014, with $8.3 billion invested in 4.9 gigawatts (GW) of new capacity additions. Wind power has comprised 33% of all new U.S. electric capacity additions since 2007. Wind power currently meets almost 5% of the nation's electricity demand, and represents more than 12% of total electricity generation in nine states, and more than 20% in three states.
These promising statistics could not come at a better time: just recently the Obama administration released a new Clean Power Plan, calling for the United States to significantly increase renewable energy usage by 2030. With wind energy offering an affordable and practical option, the goals set out by this new plan could be well within reach.
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Dr Peng Wei: Designing the Future of Autonomous Aircraft
Air traffic is expected to double by 2037. According to the International Air Transport Association (IATA), the world will need 37,000+ new passenger and freight aircraft, and more than half a million new pilots—unless we come up with another solution. Right now, a George Washington University School of Engineering and Applied Science professor, Dr Peng Wei, is starting to research autonomous electric aircraft design.
NASA will fund the research, which will study how to minimise risks for electric vertical take-off and landing (eVTOL). As Airbus states: ‘Autonomous technologies also have the potential to improve air traffic management, enhance sustainability performance and further improve aircraft safety’.
Who is Dr Wei?
An assistant professor of Mechanical and Aerospace Engineering, Dr Wei has researched aircraft control, optimisation, and AI and ML applications in aviation. Over the next three years, he’ll lead the US$2.5mn NASA grant project in collaboration with researchers from Vanderbilt, the University of Texas at Austin, and MIT’s Lincoln Lab.
Why is His Research Important?
Even though the wide adoption of self-piloting cars, much less aircraft, is still far down the road, technologies that Dr Wei and his colleagues are researching will form the commercial transport of the future. But aviation manufacturers, in order to produce autonomous aircraft, will have to meet extremely high safety standards.
‘The key challenge for self-piloting capabilities is how the system reacts to unforeseen events’, said Arne Stoschek, Wayfinder Project Executive at Acubed. ‘That’s the big jump from automated to autonomous’. In the air, AI-piloted aircraft will have to manoeuvre around adverse weather conditions, such as wind and storms, and other high-altitude risks, such as GPS hacking, cyberattacks, and aircraft degradation. And the stakes are high.
‘If a machine learning algorithm makes a mistake in Facebook, TikTok, Netflix —that doesn't matter too much because I was just recommended a video or movie I don't like’, Dr Wei said. ‘But if a machine learning algorithm mistake happens in a safety-critical application, such as aviation or in autonomous driving, people may have accidents. There may be fatal results’.
What Are His Other Projects?
In addition to the new NASA research, Dr Wei has been awarded three other grants to pursue AI-piloted aircraft:
- A 2-year grant from the Federal Aviation Administration (FAA) in conjunction with West Virginia University and Honeywell Aerospace to investigate “learning-based” aviation systems
- A six-month SBIR Phase I NASA award with Intelligent Automation to mitigate airspace congestion at vertiports—the electric craft version of airports.
- A 1-year collaborative grant with the University of Virginia and George Mason University from the Virginia Commonwealth Cyber Initiative (CCI) to develop anti-cyber attack technologies and aviation video systems
Research like NASA and Dr Wei’s three-year programme will help improve how AI reacts and adapts to challenging air conditions. In coming years, autonomous aircraft will likely take off slowly, starting with small package delivery, then upgraded drones, and finally commercialised aircraft. But congestion issues will worsen until autonomous aircraft are the best alternative.
According to BBC Future, by 2030, commuters will spend nearly 100 hours a year in Los Angeles and Moscow traffic jams, and 43 cities will be home to more than 10 million people. The final verdict? Bring on the AI-operated transit.