Tag: ERCOT

Blog Post: Weather-Smart Power Price Forecasts and Carbon Impact Data Now Available Across All Seven U.S. ISOs in REsurety’s Platform

Lee Taylor

Companies can now make clean energy procurement decisions based on the lowest cost for carbon reduction across the entire U.S.

REsurety CEO, Lee Taylor explains how companies can now make clean energy procurement decisions based on the lowest cost for carbon reduction across the entire U.S.
Lee Taylor, Co-Founder and CEO

Authored by Lee Taylor, Co-Founder and CEO, REsurety


Up until now, it’s been impossible for clean energy companies to make informed clean energy procurement decisions across the country in a way that makes their budgets go as far as possible when it comes to reducing carbon emissions. As of today, REsurety’s platform changes all that with the availability of both Weather-Smart power price forecasts and Locational Marginal Emissions (LMEs) data that now cover all seven U.S. deregulated ISOs (CAISO, ERCOT, ISONE, MISO, NYISO, PJM, and SPP).

REsurety first launched its power price forecasts and Locational Marginal Emissions data in Texas’ ERCOT market in December of 2022. This renewables-rich market is important for many clean energy buyers, developers and investors, given the rapid rate of growth of wind, solar and storage projects across the state. Ever since then, our team of atmospheric scientists, renewable energy and power markets experts, and software engineers have worked tirelessly to bring our solutions into new markets, helping us reach today’s milestone: full coverage across all U.S. deregulated ISOs.

Locational Marginal Emissions data enables customers forecasting and measurement of the emissions impact of their clean energy purchases. Weather-Smart power price forecasts provides forward-looking views of power prices and wind and solar capture rates based on project-specific weather modeling across 40+ years of representative weather scenarios. Having both of these data sets available across all ISOs allows our customers to compare the cost-benefit of different clean energy project purchasing decisions on a nationwide scale, something that previously wasn’t possible.

Emissions-focused clean energy customers can now leverage the REsurety platform to optimize for: cost per MWh, cost per ton of carbon avoided, or 24/7 Carbon Free Energy. The platform was designed for the full spectrum of clean energy customers, from buyers who are running RFPs, to hydrogen developers maximizing the cost-effectiveness of their electrolyzer. Regardless of each customer’s specific priorities, REsurety is able to help buyers or their advisors, as well as their clean energy suppliers, identify the best projects to suit their needs using our off-the-shelf PPA Evaluator tool or a more bespoke advisory engagement.

If you would like to learn more, please contact us at: [email protected].

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Webinar Recording: Hot Grid Summer: Unpacking ERCOT’s Unusually Warm Summer of 2023

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The summer of 2023 felt like an endless chain of heat waves in the U.S. but nowhere more so than in Texas, which experienced its second hottest summer on record. In this webinar, meteorologists Jennifer Newman and Jessica Tomaszewski discussed the meteorological drivers of the heat wave, the temperature and demand records that were set, and the impact the heat wave had on power prices. They discussed:

  • Causes of the heat wave
  • How heat waves impact demand and renewable energy production
  • How climate change might impact the frequency of heat waves
  • How you can take extreme events into account for price forecasts

The session was interactive and there was an extensive Q & A session after the presentation.

About the speakers

Jennifer Newman, VP, Atmospheric Science Research

Jennifer Newman, Vice President of Atmospheric Science Research, REsurety

Jennifer Newman is an atmospheric scientist with experience in boundary layer meteorology, remote sensing, machine learning, and wind resource assessment. Prior to joining REsurety, Dr. Newman completed a postdoctoral fellowship at the National Renewable Energy Laboratory with a focus on improving turbulence estimates from Doppler wind lidars. As a research scientist at REsurety, she investigates new methods for estimating the risk of potential wind projects.

Dr. Newman holds Doctor of Philosophy and Master’s degrees in Meteorology from the University of Oklahoma. She also holds a Bachelor’s degree in Atmospheric Science from Cornell University where she graduated with distinction in research.

Jessica Tomaszewski, Senior Research Scientist

Jessica Tomaszewski, Senior Research Scientist, REsurety

Jessica Tomaszewski is an atmospheric scientist with experience in boundary layer meteorology, numerical weather prediction, and wind resource assessment. Prior to joining REsurety, Jessica completed a National Science Foundation Graduate Research Fellowship with a focus on simulating interactions between wind farms and the lower atmosphere, as well as two summer internships at NextEra Analytics investigating improvements to the wind farm wake modeling process. As a research scientist at REsurety, she builds and investigates new techniques for analyzing renewable resources and mitigating their financial risk.

Dr. Tomaszewski holds a PhD and Master’s degree in Atmospheric and Oceanic Sciences from the University of Colorado Boulder. She also holds a Bachelor’s degree in Meteorology from the University of Oklahoma.

Webinar Recording: Unpacking ERCOT Solar Capture Rates in REsurety’s Weather-Smart Forecasts

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REsurety’s Weather-Smart forecasts show sharply declining solar value in ERCOT. Average solar capture rates fall to around 75% by 2030 in our baseline forecast, with significant weather and fundamentals-driven variability about that average. In this webinar, we unpacked these results by evaluating progressively more sophisticated forecasting models. We showed that:

  • Accounting for recent trends, changes to system fundamentals, and weather variability reduce forecasted solar capture rates.
  • Weather uncertainty leads to a wide range of capture rate outcomes given the fundamentals.
  • Uncertainty in solar buildout leads to an even wider range of solar capture rate outcomes.

We also had 10-15 minutes of Q & A after the presentation.

About the speakers

David Luke Oates, SVP, Power Markets Research

David Luke Oates, SVP, Power Markets Research

David Luke Oates co-leads REsurety’s Research team. His team builds, tests, and deploys fundamentals and statistical models of electricity prices and emissions to support customer workflows. David Luke has over a decade of experience working in the electric power sector from positions in academia, consulting, and technology. Before joining REsurety, he was a consultant at The Brattle Group, supporting electricity market operators, utilities, and asset owners to address market design, asset valuation, and regulatory questions.

Dr. Oates holds a Ph.D. in Engineering and Public Policy from Carnegie Mellon University and a Bachelor’s degree in Engineering Physics from Queen’s University, Canada.

Amit Ranjan, Senior Associate, Power Markets Research

Amit Ranjan, Senior Associate, Power Markets Research

Amit Ranjan is an engineer and researcher with experience in fundamentals-based modeling of wholesale electricity markets. Before joining the REsurety team, he was a Senior Analyst at National Grid where he improved the fidelity of long-term capacity expansion models to support corporate strategy initiatives. He also studied the financial and electric system peak implications of electrifying heating in buildings across the U.S. Northeast. At REsurety, he is helping to advance power price analytics amid evolving market designs, increasing penetration of renewable energy and changing policy landscape.

Amit holds a Master’s degree in Energy and Environmental Management from Duke University and a Bachelor’s degree in Environmental Engineering from Delhi Technological University, India.

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