up and running

Central Texas wind energy facility goes online to power Target Corp.

This new Texas wind farm is now partly powering Target Corp. Photo via swiftcurrentenergy.com

A Texas wind energy project has officially delivered and is actively providing power to its customer, Target Corp.

Boston-based Swift Current Energy, which has an office in Houston, announced this week that its 197 MW Castle Gap Wind project is operational. It has the capacity to create enough pollution-free energy to power more than 50,000 homes annually.

"Castle Gap Wind is a momentous project for Swift Current Energy as we grow our projects under asset management and operations," Eric Lammers, CEO and co-founder of Swift Current Energy, says in a news release. "Castle Gap Wind is one of the earliest projects supported by the Inflation Reduction Act, and we are thankful for our partners at Target, Goldman Sachs, MUFG, CaixaBank and of course the entire Swift Current Energy team who helped make the Project possible."

Goldman Sachs provided the tax equity for the project, and Target and Swift Current have established long-term virtual power purchase agreement. Additionally, Mitsubishi UFJ Financial Group, or MUFG, and CaixaBank provided project financing.

"Goldman Sachs is pleased to partner with Swift Current Energy on their Castle Gap Wind project," Ryan Newman, head of Tax Equity at Goldman Sachs, says in the release. "Goldman Sachs is committed to financing the energy transition and supporting sponsors like Swift Current that are developing sustainable infrastructure in an effort to combat climate change."

The project is located in the Mills and Lampasas Counties, which are around 90 miles northwest of Austin.

"This Castle Gap Wind contract is a part of our commitment to renewable energy and is one example of how we are leveraging our size and scale to benefit people, the planet and drive our business forward," Erin Tyler, Target's vice president of property management, says in the release.

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A View From HETI

A View From UH

A University of Houston team looked into what areas in Houston had the highest impact on emissions and how certain meteorological factors play into ozone formation. Photo via UH.edu

A team of researchers at the University of Houston are using machine learning to help guide pollution fighting strategies.

As reported in the journal Environmental Pollution last month, the team used the SHAP algorithm of machine learning (a game theory approach) and the Positive Matrix Factorization to pinpoint what areas in Houston had the highest impact on emissions and how certain meteorological factors play into ozone formation.

The paper was authored by Delaney Nelson, a doctoral student at the Department of Earth and Atmospheric Sciences of UH, and Yunsoo Choi, corresponding author and professor of atmospheric chemistry, AI deep learning, air quality modeling and satellite remote sensing.

The team's research closely tracked nitrogen-based compound and volatile organic compound measurements from Texas Commission on Environmental Quality's monitoring stations in the Houston area. After importing measurements from The Lynchburg Ferry station in Houston's ship channel and the urban Milby Park station, the machine learning and SHAP analysis showed a chemically definitive difference between the two areas.

For example, at the industrial station, the most impactful sources of pollution were from oil and gas flaring/production. At the urban site n_decane and industrial emissions/evaporation had the most impact on ozone.

According to Nelson and Choi, this shows that the machine learning and SHAP analysis approach can be used to tailor more precise air quality management strategies in different areas based on the site's unique characteristics.

“Once we know the specific emission sources and factors, we can develop targeted strategies to reduce emissions, which will in turn reduce ozone in the air and make it healthier for everyone," Choi said in a statement.

“Pollution is a critical issue in Houston, where you have extreme high heat and high concentration of ozone in the summers. The types of insights we got are very useful information for the local community to develop effective policies. That’s why we put our time, effort and technological expertise into this project," he continued.

Next the team envisions applying their approach in different cities and across the country.

“Austin, San Antonio and Dallas all have different characteristics, so I expect (volatile organic compound) sources will also be different,” Choi said. “Identifying VOC sources in different cities is very important because each city should have its own unique pollution fighting strategy.”

This summer, the City of Houston released an updated report on its major strategies to combat climate change and build a more resilient future for its residents.

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