Independent model study · renewable aviation fuel

Trade feedstock flexibility against hydrogen and pretreatment capacity

Test how used oils and fat residues change impurity removal, hydrogen demand, cold-flow severity, SAF yield and unit throughput.
Trade feedstock flexibility against hydrogen and pretreatment capacity in the Acatian flowsheet workspace
One flowsheet connects assumptions, balances, equipment, time, economics and evidence.
BlendPretreatHydrodeoxygenateSeparateIsomeriseFractionateSAF

Decision model

A bounded question with a complete plant consequence.

Decision

Choose a feed blend and severity policy that remains feasible under impurity, hydrogen, pretreatment, product-property and fractionation constraints.

System boundary

Feed receipt and blending through pretreatment, hydrodeoxygenation, gas/liquid separation, isomerisation/hydrocracking abstraction and product fractionation.

Governing structure

Equations and accounting rules

01Elemental C/H/O and total mass balance
02Stoichiometric minimum H₂ plus excess/side-reaction demand
03Feed-property/severity yield correlation
04Product-cut allocation and lifecycle activity ledger
Scenario set

Base, alternative and stress cases

  • Used-cooking-oil-rich blend
  • Animal-fat-rich and high-impurity blend
  • Constrained green hydrogen
  • SAF-maximising versus diesel-maximising severity

Engineering brief

Model the complete decision, not an isolated unit operation.

Neste publicly describes NEXBTL as a feed-flexible route using pretreatment, hydrogen-based deoxygenation, isomerisation and product separation.

Catalyst, operating severity, actual feed blend, yield and hydrogen intensity are proprietary. This model uses transparent public or literature ranges and clearly separates nameplate capacity from modelled production.

01 · Model basis

What the Acatian model needs to resolve

Inputs, mechanisms, limits and outputs remain reviewable on one declared basis.

Inputs

Data

Feed FFA, water, P, metals, N/S and chain distribution

Evidence

Pretreatment losses and capacity

Plant

Hydrogen purity, consumption and availability

Basis

Conversion, selectivity, product cuts and utility factors

Mechanisms

Balance

Elemental C/H/O and total mass balance

Model

Stoichiometric minimum H₂ plus excess/side-reaction demand

System

Feed-property/severity yield correlation

Time

Product-cut allocation and lifecycle activity ledger

Constraints

Limit

Feed contaminants and pretreatment

Risk

Hydrogen and reactor LHSV

Capacity

Cold-flow/product specifications

Gate

Fractionation, storage and traceability

Outputs

Result

SAF, diesel and co-product tonnes

Decision

Hydrogen kg/t and carbon efficiency

Plant

Pretreatment loss and unit utilisation

Value

Margin and carbon-intensity contributions

02 · Acatian workflow

Build it in six controlled steps

Each step creates a reviewable object, not a hidden spreadsheet assumption.
  1. 01

    Define feed assays and traceability boundary.

  2. 02

    Close elemental and pretreatment balances.

  3. 03

    Calculate hydrogen and conversion envelope.

  4. 04

    Allocate products through fractionation.

  5. 05

    Add equipment, utilities and inventory.

  6. 06

    Compare margin and carbon under uncertainty.

03 · Decisions

Questions the model should answer

Which feed has the highest marginal value?

Is hydrogen or pretreatment limiting?

How much SAF yield is robust?

Which impurity drives downside risk?

04 · Evidence boundary

Validate before the result carries weight

Validation

Reconcile feed assays, elemental closure, hydrogen, product cuts and utilities against authorised operating or licensor evidence before decision use.

Limitations

This is not a Neste or licensor reactor design and makes no fuel-certification claim. Lifecycle results require jurisdiction-specific rules and traceable factors.

Public evidence

What the company context supports—and what it does not.

Sources establish the public process architecture. They do not reveal private operating parameters, site performance or an Acatian relationship.
  1. Neste — NEXBTL technologyPublic pretreatment, hydrodeoxygenation and isomerisation sequence.
  2. Neste — What is SAFPublic waste/residue feed and process context.

Frequently asked questions

Practical modelling questions

Is this the named organisation's real plant model?

No. It is an independent hypothetical Acatian study based only on the cited public process architecture. It claims no affiliation, endorsement, deployment, confidential data or actual plant performance.

Where do the numerical inputs come from?

Every input must be marked as a public fact, literature estimate, transparent engineering assumption or authorised customer input. The public article does not invent private operating values.

Can the model be calibrated to a real facility?

Yes, when the operator supplies authorised process, equipment, schedule and utility evidence and agrees the intended use, acceptance criteria and validation plan.

Related engineering guides

Continue through the connected model.

Bring one real process question

Build a model your technical team can inspect, challenge and improve.

Start with customer-owned data, explicit acceptance criteria and a clearly bounded engineering decision.