Business Case Calculator

Your business case in minutes not weeks.

Sketch out your asset – we'll show you what it would actually have earned in 2024. Based on real EPEX order book data, not index prices.

// based on the real EPEX SPOT order book · no perfect-foresight backtest

Intraday Continuous · Simulation +40% vs. day-ahead (conservative)
01.01.2024 366 days simulated 31.12.2024

How it works

Three steps to your revenue number.

01

Share your information

Whether it's a quick sketch with a photo or an existing document – just send us whatever you already have on your asset.

02

We'll ask when something's missing

If we're missing a piece of information, we reach out to you directly – instead of just guessing.

03

See your result

Within minutes, you'll see how much revenue this configuration would have generated in a real, past year.

Subscription

Business Case Calculator subscription

Use the calculator on your own, as often as you like – no project overhead and no minimum-term risk.

€2,000 / month
+40% Additional revenue from intraday trading — calculated conservatively
Simulated period 366 days
Annual revenue (example case) €2.22m
of which Intraday Continuous €878,000

// Example calculation based on the real EPEX SPOT order book (not index prices), calendar year 2024. Battery cycle costs and grid restrictions are already factored in. The calculation is deliberately conservative – no perfect foresight, with realistic execution assumptions instead of ideal values.

Who is this for?

Unlock the full potential of your heat storage and CHP assets – without building up additional trading staff.

Methodology

Can I trust these numbers?

A fair question for any backtest. That's why we disclose how we calculate – not just what comes out.

No look-ahead

Our optimization follows the rolling-intrinsic principle – a method that has been used to value gas storage for over two decades. At every point in time, only the market information that was actually available at that exact moment is used. No hindsight knowledge of price movements.

Real order book, not an index price

Other tools calculate against an index that's only published after the fact. We calculate against the actual order book – the difference is bigger than it sounds. Details below.

Every calculation is traceable

You see not just the final result, but also the underlying configuration, all assumptions, and the full report available for download. Reproducible, with an audit trail — no black box.

!

What the calculator is not: a promise of identical revenue in the future. Past market years are no guarantee – but a solid reference point, calculated with the same methodology we validate in real operations with our customers.

Why index-based backtests almost always look too good

  • Trades are matched against real, resting orders – not against an index nobody knows yet at that point in time.
  • Market depth is factored in: larger volumes move through several price levels, not just a single point value.
  • The bid-ask spread is accounted for – it's incurred on every single trade in reality.
  • Beyond the visible order book depth, there is no price: a trade that would never have happened doesn't show up in our result either.

“Two providers with different revenue figures for the same asset usually don’t disagree about the asset – they just calculate with differently strict assumptions.”

The more frequently a strategy trades, the bigger the gap between an index-based and an order-book-based result. That's why we always calculate with the real order book.

Stadtwerke Frankfurt (Oder)

Germany's largest district heating network – 110 km of pipeline, five 20 MW gas engines, around 430 MWh of heat storage. There, we optimize combined heat and power, heat demand, and storage together as one system instead of looking at them separately – applicable across energy carriers, from battery storage to hydrogen use cases.

Frequently Asked Questions

Before you have to ask.

Is the result realistic, or a best-case scenario? +

The simulation exclusively uses information that was actually available at each point in time (rolling-intrinsic approach) – not a perfect-foresight backtest.

Which costs are already factored in? +

Battery cycle costs, grid restrictions, and technical efficiency losses of your asset are factored in directly – exactly as specified in your sketch.

Can I assume I'll achieve this revenue in 2026 as well? +

No, we can't guarantee that. What stays the same is the methodology – the same optimization logic that we continuously validate in shadow operation with real customers.

Does the revenue only count pure trading profit? +

No. Every forecast deviation that isn't balanced out shows up as imbalance costs. Our intraday optimization therefore delivers a double effect: additional trading revenue and avoided imbalance energy costs.

Who receives the revenue – you or Gramian Grid? +

The revenue stays entirely with you. We trade on your behalf and for your account, never on our own book. Our compensation consists of a fixed fee plus a success-based share.

Solve problems. Unlock value.

Gramian Grid creates tangible economic value for your energy portfolio.

Challenge

  • Inflexible market strategies
  • Opaque processes
  • Unreliable forecasts
  • Optimization models stuck in theory
  • Innovative ideas that can’t be implemented

Our Solution

  • Adaptive, market-driven optimization
  • Central workflow and data platform
  • Machine learning–based forecasting models
  • Models based on real-world operations
  • Research with practical relevance

Your Benefits

  • Flexible response to volatile prices
  • Transparent, easy-to-follow workflows
  • More reliable planning with lower risks
  • Practical, actionable results
  • Proven innovation, not just theory

Test your own business case.

Free, no obligation – results in minutes.