Resource Documents: New Mexico (3 items)
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Author: Power the Future
On Earth Day, President Biden pledged under the Paris Climate Agreement that the United States would reduce greenhouse gas emissions by 50 percent in ten years (below 2005 levels). This goal is as preposterous as it is impractical. It’s clear that the Biden Administration is misleading the American people to impose the Green Agenda which includes stifling bureaucratic manipulation in every sector of the economy. Power The Future’s latest study, “Lights Out: How Green Mandates Are Undermining the Affordability and Reliability of Electricity,” explores the real costs and benefits of Biden’s plan.
Biden’s Climate Envoy John Kerry has himself admitted: “Almost 90 percent of all of the planet’s global emissions come from outside of U.S. borders. We could go to zero tomorrow and the problem isn’t solved.”
On this, as in little else, Kerry is right: Even assuming every signatory to the Paris Agreement (the US included, as pledged under President Obama) fulfilled its emissions commitments, the climate impact “is minuscule.” In measuring the temperature impact of every nation fulfilling every promise by 2030, the total temperature reduction would be 0.048°C (0.086°F) by 2100. Carry those assumptions out another 70 years, and Paris would reduce temperatures by just 0.17°C by 2100.
So what can we realistically expect from the types of proposals Biden is pushing? PTF looked at the results of renewable mandates in Texas, California, and New Mexico to find out.
Based on data from those states, it is clear that Biden’s pledge under the Paris Agreement sets the country on a dangerous trajectory. Green radicals will use it to push their fever dream of a 100 percent “clean” grid, powered by sources that don’t work at night or on cloudy days. These policies destroy good-paying jobs and raise energy prices. It’s time to wake up to these realities with policies that promote fuel diversity, reliability, and affordability—before it’s too late for all of us.
Download original document: “How Green Mandates Are Undermining the Affordability and Reliability of Electricity”
Author: Marcillo, Omar; et al.
Infrasound from a 60‐turbine wind farm was found to propagate to distances up to 90 km under nighttime atmospheric conditions. Four infrasound sensor arrays were deployed in central New Mexico in February 2014; three of these arrays captured infrasound from a large wind farm. The arrays were in a linear configuration oriented southeast with 13, 54, 90, and 126 km radial distances and azimuths of 166°, 119°, 113°, and 111° from the 60 1.6 MW turbine Red Mesa Wind Farm, Laguna Pueblo, New Mexico, USA. Peaks at a fundamental frequency slightly below 0.9 Hz and its harmonics characterize the spectrum of the detected infrasound. The generation of this signal is linked to the interaction of the blades, flow gradients, and the supporting tower. The production of wind‐farm sound, its propagation, and detection at long distances can be related to the characteristics of the atmospheric boundary layer. First, under stable conditions, mostly occurring at night, winds are highly stratified, which enhances the production of thickness sound and the modulation of other higher‐frequency wind turbine sounds. Second, nocturnal atmospheric conditions can create low‐altitude waveguides (with altitudes on the order of hundreds of meters) allowing long‐distance propagation. Third, night and early morning hours are characterized by reduced background atmospheric noise that enhances signal detectability. This work describes the characteristics of the infrasound from a quasi‐continuous source with the potential for long‐range propagation that could be used to monitor the lower part of the atmospheric boundary layer.
Omar Marcillo, Philip Blom, Earth and Environmental Science, Los Alamos National Laboratory, Los Alamos, New Mexico
Stephen Arrowsmith, Kyle Jones, Sandia National Laboratories, Albuquerque, New Mexico
Journal of Geophysical Research: Atmosphere, 120, 9855–9868, doi:10.1002/2014JD022821.
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Author: National Wind Watch