Case Study

Energy Risk Management Case Study: Real-World Results

Power purchase decisions shouldn’t hinge on PPA price alone. In this case study, see how a 100MW industrial energy buyer avoided a risky investment by going beyond static spreadsheets and leveraging Verse’s Aria™ platform. The team evaluated multiple clean energy options—including ERCOT wind and MISO-based solar and wind—and uncovered the hidden risks behind what looked like the lowest-cost deal. With Aria, they visualized the trade-offs, quantified the volatility, and selected a clean power portfolio that aligned with their financial and operational goals.

Energy Risk Management Case Study
Table of contents

The Challenge

Identify the Most Cost-Effective Clean Energy Option

Legacy Approach Results

  • Customer X wanted to procure clean power to serve a ~100MW industrial load in MISO (Midcontinent Independent System Operator)
  • A spreadsheet analysis approach suggested an ERCOT (Electric Reliability Council of Texas) wind virtual power purchase agreement (vPPA) would deliver the lowest-cost clean energy supply option
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The Solution

Aria Risk Management Analysis

Aria’s analysis included the cost of the 100MW load in MISO alongside the vPPA.

A More Nuanced Outcome

  • Normal power prices differ between ERCOT and MISO, creating basis risk
  • That price difference meant that buying clean energy outside MISO resulted in a wide distribution of forecasted energy supply costs
  • While ERCOT wind has the lowest average cost, it was a risky supply option for a MISO load
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MISO Solar Is Good….

MISO solar results in a tighter cost distribution, albeit with some shape risk.

Higher cost, but lower risk

  • Using MISO solar to power the MISO load resulted in a much tighter distribution of energy supply costs (i.e., less potential variability)
  • Some variation remained due to shape risk (i.e., the facility load would still be exposed to wholesale market prices outside of solar hours)
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….But MISO Wind Has Least Risk

MISO wind resulted in the tightest distribution of energy supply cost.

Highest cost, with least risk

  • MISO wind was the highest-cost renewable option
  • HOWEVER, it resulted in the tightest distribution of energy supply cost due to the wind generation profile closely mirroring the load shape
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The Results

An Informed Risk/Reward Decision

Cost/risk “efficient frontier” empowered Verse’s customer to choose its optimal supply portfolio.

Deeper Analysis Supported Better Decisions

  • Instead of showing just the least-cost options, Verse’s analytical models allowed the customer to make a data-driven decision about risk/reward trade-off
  • Based on this information, the customer deprioritized ERCOT wind in the subsequent RFO process in favor of less risky renewable supply portfolios in MISO
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Accelerate the Move Beyond Spreadsheets