8,760-Hour Clean Energy
Dispatch Optimization.
True Firming Cost — Before the PPA.
Upload your data center load and renewable generation profiles. The Firming Cost Analyzer dispatches storage and gas backup across 8,760 hours to show you the true cost, carbon intensity, and hourly matching percentage of any clean energy portfolio — before you sign the PPA.
Hourly Dispatch Optimization: Upload, Configure, Solve & Analyze
Drop in your load profile and renewable NCF files. Set nameplate MW for each asset.
Select grid-connected or off-grid. Size your BESS. Set gas firming parameters.
The engine dispatches storage optimally across 8,760 hours — maximizing clean coverage, minimizing gas.
Review hourly dispatch stacks, matching percentages, cost breakdowns, and carbon intensity.
Inputs: Load Profiles, Renewable NCFs & BESS Configuration
Bring your own site-specific data. The platform doesn't assume generic profiles — it uses your actual NCFs, your load shape, and your commercial terms.
Hourly load ramp (8,760 hours). Supports flat, ramping, or phased campus buildouts.
CSV · Hourly MWSite-specific hourly generation profile. Scale nameplate MW up or down in the platform.
CSV · Hourly NCF (0–1)Site-specific hourly generation profile. Stack multiple wind sites with different profiles.
CSV · Hourly NCF (0–1)Set capacity (MW), duration (hours), round-trip efficiency, and degradation curve. The optimizer dispatches storage to maximize renewable utilization before calling on gas.
Platform UI · MW / Duration / RTELast-resort firming when renewables + BESS are depleted. Set heat rate, fuel cost, and availability. Used only when clean resources cannot meet load.
Platform UI · HR / $/MMBtuToggle grid-connected or islanded operation. For on-grid scenarios, upload or select nodal market prices to model energy sales, purchases, and arbitrage.
CSV · Hourly $/MWh (optional)Outputs: Blended $/MWh, Hourly Clean Match % & Storage Economics
The analyzer produces the full picture — not just cost, but carbon, curtailment, storage economics, and hourly matching. All from a single run.
Design the portfolio. Then see what it does to the grid.
With the VIPER integration license, export a completed Firming Cost Analyzer scenario directly into VIPER's nodal model. Select any bus in ERCOT and see how your portfolio of renewables, storage, and gas firming affects LMPs, transmission flows, and constraint shadow prices at that specific interconnection point.
Use Cases: 24/7 CFE Portfolios, BTM Sizing & Firming Cost Sensitivity
Evaluating a 500 MW solar + 200 MW/800 MWh BESS portfolio to power a new data center campus. Need to know: what's the hourly matching rate, how much gas backup is required, and what's the all-in $/MWh before signing a 15-year PPA?
Pitching a co-located solar + storage project to a C&I buyer. Need to demonstrate the firming economics and show that BESS reduces gas dependence from 18% to 4% of annual hours.
Underwriting an acquisition of a portfolio serving data center load. Need sensitivity analysis: how does the blended cost change if gas prices spike 40%? If solar NCF underperforms by 10%?
Modeling a clean energy tariff for a large industrial customer. Need to determine optimal renewable + storage sizing to hit a 90% hourly match at the lowest possible firming cost.
Stop guessing at firming costs.
Upload your data. Size the portfolio. Know the real cost — hour by hour, dollar by dollar.