Tag Archives: U.S. Department of Energy’s Lawrence Berkeley National Laboratory

Aggressive clean energy bill would push Illinois to 100% renewables by 2050

By Kari Lydersen, Energy News Network

An ambitious energy bill introduced Thursday in Illinois would mandate the state shift to
entirely renewable energy by mid-century with an emphasis on job creation and equity. The
Clean Energy Jobs Act (HB 3624/SB 2132) grew out of listening sessions held statewide last year
by environmental and energy groups that are members of the Illinois Clean Jobs Coalition.

The coalition says the bill will expand on and address shortcomings in the implementation of the Future Energy Jobs Act, passed with much fanfare in 2016. They say it would create four
times as much wind and solar power as FEJA, enough to power 4 million homes through
40 million solar panels and 2,500 wind turbines. Continue reading here.

Daniel Schwen / Wikimedia Commons Photo

Related: Vote Solar Announces Support for Clean Energy Jobs Act to Bring 100% Clean Energy to Illinois

MORE 100% RENEWABLE ENERGY NEWS

Mills sets goal to fight climate change: 100% renewable electricity by 2050, The Portland Press Herald
Gov. Janet Mills outlined an extensive climate agenda on Thursday,
pledging to reduce greenhouse gas emissions, work toward 100
percent renewable electricity generation and to work with other
governors on regional solutions. Mills said she joined a coalition of
more than 20 governors committed to pursuing the goals of the Paris
Agreement on climate. 
U.S. Climate Alliance Website

BOOSTING RENEWABLE ENERGY’S VALUE

Cost-Effective Solutions for Boosting Solar Farm Production, Power Magazine. According to Berkeley Lab, solar trackers accounted for 80% of installations in 2017, among projects larger than five megawatts. By following the sun, output can be boosted by 20%, increasing capacity factors and lowering the production cost of electricity. Photo: Fremont’s first of two solar farms installed by GenPro Energy Solutions, both with sun trackers.

Google’s DeepMind Artificial Intelligence Can Predict Wind Farm Energy Output 36 Hours in Advance, Fortune
According to the company, DeepMind’s predictions have boosted the value of Google’s wind energy by roughly 20%.

Google Blog Post: Machine learning can boost the value of wind energy
Based on these predictions, our model recommends how to make optimal hourly delivery
commitments to the power grid a full day in advance. This is important, because energy sources that can be scheduled (i.e. can deliver a set amount of electricity at a set time) are often more valuable to the grid. About DeepMind for Google

Previously Posted Article: Google announces plans to build data center in Nebraska; signs point to Omaha area, Omaha World-Herald 

GREENTECH MEDIA PODCAST

How to Get a Job in the Clean Energy Economy
Resources listed in the accompanying article include:

New study: 92 percent of wind project neighbors positive or neutral toward turbines

Written by Anna Luke, Into the Wind, American Wind Energy Association Blog

Over 1.3 million U.S. homes are located within five miles of a large wind turbine. But there hadn’t been a nationwide survey to learn how those people felt about their local wind
project – until now. A study led by researchers from the U.S. Department of Energy’s Lawrence Berkeley National Laboratory found that more than 9 in 10 people who live close to wind turbines view them positively or neutrally.

This is helpful information for those living in areas contemplating welcoming a wind farm. Since there is currently a large pipeline of wind projects in development, more communities will be faced with this choice in the coming years. Knowing that other communities with existing projects feel good about their choices can give reassurance to prospective wind farm hosts. Read the entire blog post here.

Photo by NextEra Energy Resources showing wind turbines that are part of the Steele Flats Wind Energy Center in Jefferson and Gage Counties in Nebraska.

Download Summary of Survey Results (PDF) here.

Webinar Series
A Berkeley Lab 4-part webinar series, Understanding Wind Project Neighbors Through a National Survey of Attitudes, will be held every other Tuesday, 12 pm Central Time. Listen to a recording of the January 30th webinar and register for the other three by clicking the links below.

More information can be found here.