Tag: SPP

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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Blog Post: Locational Marginal Emissions Data Now Available Across MISO, SPP, and NYISO

The addition of these three markets now brings REsurety’s LME coverage to 6 out of 7 U.S. ISOs

REsurety customers are able to leverage LMEs to accurately calculate the impact of their activities at each location on the grid. The data enables an accelerated path to a zero carbon grid through activities ranging from more meaningful clean energy procurement to the more impactful dispatch of energy storage. In the end, LMEs can empower a higher overall carbon abatement per dollar spent.

Locational Marginal Emissions (LMEs) is a metric that measures the tons of carbon emissions displaced by 1 MWh of clean energy injected into the grid at a specific location and a specific point in time. LMEs are calculated at each location on the grid in a manner very similar to the Locational Marginal Prices (LMPs) used to set wholesale electricity market prices.

In order to provide carbon value insights across our customers’ full geographic scope, the team at REsurety has been working to make LME data available across more ISOs and we’re happy to announce that with the release of these three new ISOs, LMEs are now accessible across ERCOT, PJM, CAISO, MISO, SPP, and NYISO, substantially increasing our coverage. With these additions, nodal LME data is now available for over 75% of operational U.S. wind farms. We expect LMEs in ISONE to become available in Q1 of 2024.

The following examples demonstrate how users can:

  • Compare historical Locational Marginal Emissions rates of multiple projects on the same chart, and uncover the differences in performance across MISO; this example shows that one project can have twice the emissions impact of another project using the same technology within the same ISO.
  • Use REsurety’s Weather-Smart forecasting capabilities to analyze potential future carbon abatement rates across SPP; this example demonstrates how greatly emissions impact differs between wind and solar projects even at the hub level.
Compare historical Locational Marginal Emissions rates of multiple projects on the same chart, and uncover the differences in performance across MISO; this example shows two times the difference of emissions with the same technology type in the same ISO.
Compare historical Locational Marginal Emissions rates of multiple projects on the same chart, and uncover the differences in performance across MISO; this example shows two times the difference of emissions with the same technology type in the same ISO.
Use REsurety's Weather-Smart forecasting capabilities to analyze potential carbon abatement rates across SPP; this example demonstrates how greatly emissions impact differs between wind and solar projects, even at the hub-level.
Use REsurety’s Weather-Smart forecasting capabilities to analyze potential carbon abatement rates across SPP; this example demonstrates how greatly emissions impact differs between wind and solar projects, even at the hub-level.

LMEs are available via custom reports, API access, and in REsurety’s SaaS offering, Carbon Explorer. Learn more by visiting http://resurety.com/lmes or contact us: https://resurety.com/contact.

Additional resources:

Locational Marginal Emissions White Paper

A Force Multiplier for the Carbon Impact of Clean Energy Programs

Akamai Technologies Case Study

“Solutions like what REsurety has brought to the market with LMEs bring the environmental community five steps closer to the measurement accuracy needed to solve the global emissions crisis. As a result, we are now confident in the emissions reduction our projects are causing and we have gained a partner we can trust to help us achieve our goals.”

Mike Mattera, Global Director of Corporate Sustainability, Akamai Technologies

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