BESS Software Comparison

Choosing the right BESS modelling tool.

Generic models miss the physics. Spreadsheets break under complexity. Here is what to look for — and how Catalyst compares.

Catalyst vs. the alternatives

vs. Spreadsheets
Catalyst by phelasSpecialized BESS Modelling Software
  • Technically model BESS: real degradation curves, cell chemistry parameters, and ramp-rate limits
  • Combine FCR, aFRR, Day-Ahead, and Intraday revenues in one coherent model
  • Co-location modelling: Wind + BESS, PV + BESS with EEG constraints
  • Live market data integration for DE, AT, CH and expanding EU markets
  • Audit-ready outputs: every assumption logged and traceable
  • Bankable project finance documentation generated directly from the model
  • Calculate thousands of configurations — ranked by NPV, IRR, or CapEx
  • All EU markets supported
Spreadsheet models (Excel / Google Sheets)Common, but limited

Strengths

  • +No licence cost
  • +Fully customisable
  • +Easy to share

Limitations

  • No physics-based degradation — flat percentage assumptions only
  • Revenue stacking across FCR, aFRR, and arbitrage is manual and error-prone
  • No market data integration — assumptions go stale immediately
  • Audit trail is non-existent — lenders cannot verify assumptions
  • Scenario analysis at scale (50+ configs) is practically impossible
  • Grid fee and regulatory changes require complete manual rework

Acceptable for rough screening. Inappropriate for investment-grade analysis or lender due diligence.

vs. Generic Finance Models
Catalyst by phelasSpecialized BESS Modelling Software
  • Technically model BESS: real degradation curves, cell chemistry parameters, and ramp-rate limits
  • Combine FCR, aFRR, Day-Ahead, and Intraday revenues in one coherent model
  • Co-location modelling: Wind + BESS, PV + BESS with EEG constraints
  • Live market data integration for DE, AT, CH and expanding EU markets
  • Audit-ready outputs: every assumption logged and traceable
  • Bankable project finance documentation generated directly from the model
  • Calculate thousands of configurations — ranked by NPV, IRR, or CapEx
  • All EU markets supported
Generic project finance / DCF modelsStructural gap

Strengths

  • +Finance teams already know the structure
  • +Handles debt/equity splits cleanly

Limitations

  • Not designed for dispatch simulation — treat BESS revenue as a flat annual assumption
  • Cannot model dispatch constraints, round-trip efficiency, or state-of-charge limits
  • Multi-market stacking requires manual layer-by-layer construction
  • EEG co-location rules not supported
  • Results cannot be validated against historical market data

Use downstream for project finance structuring — not as the primary techno-economic model.

vs. In-house Tools
Catalyst by phelasSpecialized BESS Modelling Software
  • Technically model BESS: real degradation curves, cell chemistry parameters, and ramp-rate limits
  • Combine FCR, aFRR, Day-Ahead, and Intraday revenues in one coherent model
  • Co-location modelling: Wind + BESS, PV + BESS with EEG constraints
  • Live market data integration for DE, AT, CH and expanding EU markets
  • Audit-ready outputs: every assumption logged and traceable
  • Bankable project finance documentation generated directly from the model
  • Calculate thousands of configurations — ranked by NPV, IRR, or CapEx
  • All EU markets supported
In-house proprietary toolsHigh cost, bespoke risk

Strengths

  • +Tailored to specific markets and assets
  • +No licence dependency

Limitations

  • Typically 6–18 months to build at significant engineering cost
  • Single-team expertise — no continuity if key developers leave
  • Ongoing maintenance burden as markets and regulations evolve
  • Cannot benefit from industry-wide data and methodology improvements

Reasonable for large-scale IPPs with dedicated engineering teams. Prohibitive for most project developers. Not viable for investment analysis.

Why Catalyst — by role.

Project development

  • Run thousands of configurations to identify the optimal project setup before committing resources
  • Configure wind, solar, or hybrid projects with real EU market data in minutes
  • Start with ready-made templates for key EU markets
  • Generate bankable feasibility studies directly from the technical model

Portfolio management

  • Apply consistent methodology across all assets in your portfolio
  • Compare configurations by NPV, IRR, and CapEx in one view
  • Stress-test revenue sensitivity to FCR price movements and regulatory changes
  • Identify which projects in your pipeline have the strongest business case

Project finance

  • Audit-ready outputs: every assumption logged and traceable for lenders
  • Bankable documentation generated directly from the technical model
  • Sensitivity ranges and DSCR analysis for credit committee presentations
  • No reformatting between model and lender-facing report

Project investment

  • Give investment committees a strategic foundation to say yes
  • Understand the full range of outcomes across thousands of scenarios
  • Traceable assumptions — no black box between the model and the decision
  • Due diligence-ready analysis for M&A, refinancing, and equity raises

What separates specialized BESS modelling software from generic tools

Dispatch simulation with real constraints

A BESS does not earn a flat annual revenue. It dispatches based on market prices, state-of-charge, round-trip efficiency, minimum rest periods, and grid connection limits. Generic models ignore these constraints. Catalyst models them with the same physics a real dispatch optimiser uses — so the revenue projection actually reflects what the asset will earn.

Battery degradation that matches reality

Capacity fade and efficiency loss are not linear. Cycle aging depends on depth of discharge, temperature, and C-rate. Calendar aging continues even when the battery is idle. A flat "-2% per year" degradation assumption can overstate revenues by 15–30% over a 10-year project lifetime. Catalyst uses empirical degradation models validated against real-world battery data.

Regulatory and market data stays current

FCR tender volumes, aFRR capacity prices, grid fees (§ 19 StromNEV, Offshore-Umlage), and EEG market premiums change constantly. Catalyst integrates updated market data so your model reflects current conditions — not figures from a spreadsheet that has been circulating for six months.

Bankable outputs for investment committees and lenders

Project finance banks and investment committees cannot work with a cell-linked Excel file. They need traceable assumptions, sensitivity ranges, DSCR analysis, and output formats they can present to credit committees. Catalyst generates these directly from the same model that ran the technical analysis — no reformatting, no translation risk.

When to use Catalyst

Site screening and early-stage feasibility

Run fast scenario sweeps across asset sizes and revenue strategies to identify the most promising projects before committing engineering resource.

Bankable feasibility studies

Produce investment-grade analysis with traceable assumptions and audit-ready documentation for project finance and equity investors.

Portfolio stress testing

Apply consistent methodology across all assets in your portfolio to identify revenue sensitivity to FCR price movements, regulatory changes, or CapEx revisions.

Due diligence support

Provide third-party verifiable analysis for M&A transactions, refinancing, or equity raises — with full assumption traceability.

Catalyst by phelas

Prove BESS economics. Stop guessing.

Catalyst evaluates thousands of project configurations, ranks them by NPV and IRR, and gives investment committees a strategic foundation to say yes — backed by physics-based models and live European market data.

Custom project setup

Configure any wind, solar, or hybrid project in minutes — adapted to your location and target EU market.

Revenue stack optimisation

Combine FCR, aFRR, Day-Ahead, and Intraday revenues in one coherent model — ranked by NPV and IRR across thousands of configurations.

Explore multiple scenarios

Calculate thousands of parameter combinations and rank results by NPV, IRR, or CapEx — the full opportunity space, not just one scenario.

Quarter-hourly dispatch

Simulate every 15-minute interval with physics-based battery constraints: round-trip efficiency, SoC limits, ramp rates, and rest periods.

No black-box results

Deterministic solver — every result is traceable, auditable, and explainable. Lenders and investment committees can verify every assumption.

All EU markets

Germany, France, Spain, and more — real market designs, live price data, and local regulations integrated natively.

See how Catalyst models your project.

We run a live analysis of your specific site in 30 minutes. No generic demo — your project, your numbers.

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