Built for Jullix fleets • Lower imbalance costs

See how your EMS fleet reacts to tomorrow’s price.

Innovoltus Simplex simulates the real Jullix Optimizer against your day‑ahead price curve and returns five corners (TT/HL/LH/HH/LL). A faithful digital twin of your fleet with reliable, auditable results and effortless to use.

Price‑conditional • Read‑only
PV • Batteries • EVs • Heat pumps next
Corner results (demo)
TT / HL / LH / HH / LL
Corner Import (MWh) Export (MWh) Energy cost (€)
TT 112.3 8.6 10,432.7
HL 96.8 18.1 9,980.3
LH 128.4 2.1 11,880.2
HH 101.2 14.0 10,890.1
LL 118.1 5.5 11,120.0
{
  "price_curve": "2025-09-12",
  "quantiles": {"low": 10, "typ": 50, "high": 90},
  "notes": ["read-only", "no device control"]
}
Price‑conditional • Read‑only

Built for traders, faithful to Jullix

Simplex simulates the same optimizer algorithm that runs on your customers’ Jullix EMS—so results reflect what the fleet will actually do under your price view.

Corner scenarios

TT/HL/LH/HH/LL based on quantiles (default 10/50/90). See range and sensitivity before you nominate.

Algorithm inside

A digital twin of your EMS enforces SoC limits, power caps, efficiency, and comfort constraints—mirroring real behavior.

Fast & reproducible

Snapshot everything—pool state, optimizer version, individual settings, seeds—so runs are auditable and repeatable.

Drop‑in exports

JSON/CSV for ETRM or Excel. Use webhooks or CLI to script your morning run.

How Simplex fits your morning

Prepare your Day-Ahead bids with confidence.

  1. Consent & Pooling

    Jullix users opt-in to share read-only behind-the-meter data with your BRP/supplier and assign them to a pool you define.

    Pooling can happen automatically based on the type of assets in the installation.

  2. Snapshot

    Freeze pool membership and installation configurations. This ensures consistent results across different simulation runs.

  3. Forecasts

    For each installation in a pool and its associated assets, Simplex generates production/load quantiles at 15-min resolution.

  4. Your price

    Submit your day-ahead curve and start the simulation of the digital twin.

  5. Corners out

    The simulation provides different corners TT/HL/LH/HH/LL results with imports/exports, costs, and constraint hits. Optionally resubmit another price curve to refine the results.

Corners explained

A corner combines specific production (P) and load (L) quantiles to show sensitivity around your price view.

We define 5 corners: TT, HL, LH, HH, LL. The two letters represent the production and load scenarios, respectively.

TT — Typical / Typical

P50 & L50. Median production and load.

The most likely outcome.

HL — High / Low

P90 & L10. High production, low load.

LH — Low / High

P10 & L90. Low production, high load.

HH — High / High

P90 & L90. Both high.

LL — Low / Low

P10 & L10. Both low.

You can tune quantiles (e.g., 5/50/95) to match your risk appetite.

TT/HL/LH/HH/LL give you a compact but expressive view of fleet risk.

Why corners?

Corners help you understand how your fleet reacts to different production and load scenarios. They provide a clear framework for analyzing performance under varying conditions.

By examining these corners, you can identify potential risks and opportunities, enabling more informed decision-making for your energy management strategy.

  • Fast & predictable

    Quickly assess different scenarios with minimal setup.

  • Interpretability

    TT/HL/LH/HH/LL map directly to P/L quantiles—easy to communicate to traders & ops.

  • Price-conditional by design

    Hold your day-ahead price curve fixed; vary production & load to see sensitivity.

  • Reproducible & auditable

    No random seeds. Snapshots pin pool, policy version and inputs for clean audits.

Your Jullix fleet, modeled faithfully

We simulate policy‑accurate behavior for your customers’ devices. Today: solar PV, batteries, and EV charging. Next: heat pumps with comfort/service constraints.

  • Battery: SoC bounds, power caps, round‑trip efficiency, end‑of‑day target.
  • EV: arrival windows, minimum energy by departure, tariff‑aware charging.
  • PV: irradiance‑driven production with quantiles and curtailment rules.
Production vs Load Corner Cases Grid showing 5 corner cases: LL, HL, LH, HH, and TT with real energy values Production (MWh) Load (MWh) 5.0 6.12 7.14 8.25 9.5 8.0 9.54 10.2 12.5 14.0 LL: 9.54 MWh Production, 6.12 MWh Load LL HL: 12.5 MWh Production, 6.12 MWh Load HL LH: 9.54 MWh Production, 8.25 MWh Load LH HH: 12.5 MWh Production, 8.25 MWh Load HH TT: 10.2 MWh Production, 7.14 MWh Load TT

Pricing that aligns incentives

One package. Free when you can offer a verifiably cheaper contract to a Jullix user. Otherwise, a simple platform fee.

Free‑if‑Cheaper

We compute expected annual cost of all users using your Simplex optimized offering on the user’s own 15‑minute data. If your offer is cheaper beyond a small margin, your Simplex fee is waived for those users and/or the pool.

  • Like‑for‑like contract terms
  • Transparent assumptions & audit trail
  • Re‑check on major load‑shape changes

Otherwise: Simple platform fee

Flat, predictable pricing (per meter or per MW of flexible capacity).

Talk to sales

Read‑only by design

Simplex never controls devices. Jullix remains the on‑site EMS; we simulate behavior based on its policy.

Consent & privacy

User opt‑in, revocable at any time. Data minimization, per‑BRP access controls, audit logs.

Reproducible runs

Snapshots pin pool state, model & policy versions, and seeds for consistent results.

Run your first corner simulation

Point Simplex at your Jullix fleet, paste your day‑ahead price curve, and get TT/HL/LH/HH/LL in under a minute.

Get started

Included in Simplex One

  • Data access & aggregation
  • P/L quantile forecasts
  • 5-corner simulations (TT/HL/LH/HH/LL)
  • JSON/CSV exports