RALS + DRR · Partner Pitch

Everyone sees the disruption.
Nobody owns the decision.

That energy capital is moving from MW to flexibility, from PDFs to data, from IRR to resilience — is consensus. It wins no one. The edge is the standard that makes assets comparable and the decision you can defend line by line.

RALS makes the asset transactable. DRR makes the capital decision defensible.

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The wedge

Forecasters tell you the price. Advisors check the deal once.
RALS + DRR make the asset comparable and the decision repeatable — and nobody else owns both.

Worked example · proof, not claim

An asset that looks investable — until it's stress-tested

Illustrative & synthetic — plausible, not a real deal
The asset
50 MWp solar PV · single node in a grid-constrained region · 70% volume under a 10-year PPA, 30% merchant
Seller's base case
8.5%
Unlevered IRR · €65/MWh capture assumed · grid “in progress,” firm assumed
DRR risk-adjusted band
5.0–7.0%
Downside scenario falls below cost of capital

What RALS structures

  • Hourly generation profile — solar, midday-concentrated
  • Grid evidence: actual status = conditional offer, not firm; curtailment clause present
  • PPA terms machine-readable: pay-as-produced, no floor
  • Node context: high solar penetration, rising negative-price hours
  • Missing documents flagged: no curtailment history, no capture backtest

What DRR stress-tests

  • Capture erosion: factor ≈ 0.82 and falling → merchant capture ~€48 not €65/MWh
  • Curtailment: 4–9% of energy curtailed under congestion, uncompensated
  • Negative prices: ~6% of hours, midday-correlated — worst case for solar
  • Revenue stack: merchant tail unhedged; PPA counterparty concentration
DRR verdict
Not “no.” Bid 15–20% below the seller's base case — and here are the three conditions that make it investable again.
Conditions to restore value
  1. Firm grid offer instead of conditional
  2. Curtailment compensation secured contractually
  3. A floor on the merchant tail
Score your own asset →

Board-ready, auditable, reconstructable in its assumptions — exactly what a base-case IRR spreadsheet never gives you.

Product architecture

The standard pulls. The product monetizes.

RALS lowers the cost of producing the input DRR needs; DRR gives developers and investors a reason to adopt RALS. One open layer, one commercial layer.

Open standard · CC BY 4.0

RALS — the data layer

Comparability
  • Standardizes technical, commercial & readiness data into one machine-readable profile
  • RFC-gated governance, BDFL — no feature ships before an accepted RFC
  • Value = adoption & a lingua franca for asset data, not direct revenue
  • If RALS becomes the standard, DRR sits on the rails the market already uses
Commercial decision layer

DRR — the decision layer

Defensibility
  • Consumes RALS-structured data, stress-tests the capital decision
  • Output: a risk-adjusted return band + conditions + assumption logic + audit trail
  • The revenue engine — per asset / per decision / license
  • A board-ready, auditable decision artifact, never a single IRR
Governance firewall

The RALS roadmap is RFC-driven and independent; DRR may not privilege itself inside the standard. That is the answer to the inevitable partner question — “does your commercial product capture the open standard?” — built into the architecture, not promised.

How DRR scores

Five dimensions, hourly and scenario-based

Not a year-average point estimate. A band, plus conditions, plus an audit trail.

01

Profile & capture risk

  • Hourly profile vs. price profile
  • Cannibalization / capture-factor erosion
  • Negative-price hours, profile-correlated
02

Grid & curtailment risk

  • Firm vs. conditional grid evidence
  • Congestion exposure at the node
  • Curtailment volume & compensation status
03

Revenue-stack fragility

  • Regulatory dependence of the revenue model
  • Offtake concentration
  • Unhedged merchant tails / missing floors
04

Optionality value

  • Flexibility contribution
  • Co-location potential
  • Strategic location value (load / congestion nodes)
05

Decision defensibility

  • Assumption versioning
  • Scenario logic
  • Audit trail for board / regulator / investor
OUTPUT

A verdict, not a number

  • “The price you should pay is X% lower —
  • and here are the N conditions
  • that make it investable again.”

Every assumption is versioned and reconstructable. The verdict is never binary yes/no.

Who else is in the room

No incumbent owns both the data standard and the defensible decision

CategoryThe gapRelationship to RALS + DRR
Revenue / capture forecasters
Pexapark, Aurora, modo, LCP Delta
Forecast prices. No open asset-data standard, no transactable structured profile, no defensible decision artifact. Input, not substitute. Their forecast is an assumption DRR stress-tests.
Technical / commercial advisors
DD advisors, owner's engineers
Bespoke per deal — slow, non-standardized, not comparable across assets, not reproducible. RALS makes assets comparable; DRR makes the decision repeatable.
Data rooms / VDR
classic data-room vendors
Storage, no structure, no scoring. RALS structures what the data room only files.

Forecasters are an input. Advisors are one-off and irreproducible. RALS + DRR own comparability and repeatability — and that, nobody else does.

Context · why now

The forces are real — and ranked by what they actually do to capital

This is the backdrop, not the argument. Severity reflects real capital impact, not narrative drama.

C2 · GRID & LOCATION SCARCITYHIGH · destroys/creates value

The grid becomes the bottleneck

Connection and location quality turn into the scarce resource; AI load reshapes where demand sits.

“Grid connection evidence becomes the hardest due-diligence currency. AI doesn't just eat jobs — it eats grid capacity.”

C3 · VOLATILITY & REVENUE FRAGILITYHIGH · real vs. illusory return

Averages lose meaning

Negative prices and shifting revenue stacks break base cases with identical annual yields.

“The average price is dead; the hourly profile decides. The revenue stack is a political-regulatory artifact, not a law of nature.”

C1 · SYSTEM FLEXIBILITY SHIFTMEDIUM-HIGH · shifts where value forms

Flexibility, not generation

MW no longer suffice; when, where and how controllably energy is delivered is what counts.

“Batteries aren't storage — they're physical options on price volatility.”

C4 · DECISION GOVERNANCELOW as force · HIGH as DRR moat

Decisions must be defensible

Not a market disruption on par with grid scarcity — the process requirement that is DRR's reason to exist. Ranked honestly.

“The next mistake won't be a wrong number. It'll be an unreconstructable decision.”

Sequencing

An integrity signal, not a deficit

Conflict-of-interest self-binding

Where DRR's function overlaps with active renewables M&A, a self-imposed firewall applies. Commercial DRR activity — sales, paid mandates — is gated to after the mandate ends (Nov 2026). RALS, as a non-commercial open standard, can move now.

So with partners we can talk architecture and standard today; commercial DRR contracting is scheduled, not hidden. We surface this proactively because it's a signal of how we operate.

Standard now · commercial DRR gated to Nov 2026
The ask

What does the partner bet on?

Both answers are legitimate — but they lead to different deal structures. That gets decided in the room, not blurred.

Bet A · Ecosystem

RALS adoption as the standard layer for renewable asset data — own the rails the market converges on.

Bet B · Cashflow

DRR as the commercial decision engine — revenue per asset, per decision, per license.

Impressum

Ein privates, nichtkommerzielles Projekt von
Manuel Mahler-Hutter, 1220 Wien, Österreich.

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