Meridia
Procurement Optimization
Smarter PPA and contract decisions
For: Procurement Lead · Energy Buyer · CFO
The challenge
Energy procurement teams negotiate contracts using estimated load shapes that bear little resemblance to actual consumption. The result: PPA profile mismatch costs of 5-15% as generation and demand curves diverge. Contract renewal dates pass unnoticed, triggering unfavorable auto-renewals. Market prices shift but contract benchmarking lags by quarters. Without granular consumption data at the negotiating table, buyers cannot quantify their flexibility, challenge supplier assumptions, or evaluate whether a fixed-price, indexed, or floor/cap structure best fits their risk profile.
Meridia modules that help
How it works
- 1
Build your consumption profile
Aggregate 12 months of 15-minute interval metered data across all sites to build an 8,760-hour load profile. Understand your actual consumption shape — peak demand windows, overnight baseload, seasonal variation, and the flexibility range within which loads can shift.
- 2
Benchmark current contracts
Map every active energy contract with its pricing structure, volume commitments, renewal dates, and termination clauses. Compare your effective energy cost (total spend / total consumption) against market benchmarks and identify contracts with re-pricing risk.
- 3
Evaluate PPA and supplier offers
Model prospective PPA structures — fixed-price, indexed, floor/cap, corporate PPA — against your actual load profile. Calculate the LCOE of each offer, quantify profile mismatch costs, and run sensitivity analysis under different market price scenarios.
- 4
Optimize and monitor
Select the procurement strategy that minimizes total cost of energy at your risk tolerance. Set automated alerts for contract renewal windows, market price thresholds, and consumption deviations that could trigger volume penalties or renegotiation opportunities.