Independent model study · high-protein cultured dairy

Keep the milk solids—or separate and manage acid whey?

Compare two routes at the same packaged protein and solids target while line capacity, rheology, cleaning and side-stream burden remain visible.
Keep the milk solids—or separate and manage acid whey? in the Acatian flowsheet workspace
One flowsheet connects assumptions, balances, equipment, time, economics and evidence.
StandardiseHeatFermentSeparate / retainHomogeniseFillCold store

Decision model

A bounded question with a complete plant consequence.

Decision

Select a route and protein target based on packaged yield, acid-whey disposition, viscosity-limited filling, CIP and energy—not an isolated yield claim.

System boundary

Milk standardisation through heat treatment, fermentation, separation or retained-solids formulation, post-treatment, filling, cold storage, CIP and acid-whey destination.

Governing structure

Equations and accounting rules

01Packaged yield = accepted product mass / standardised milk mass
02Protein, fat, lactose, mineral and water balances
03Thermal duty = mass flow × Cp × temperature change
04Viscosity links pressure drop and filler throughput
Scenario set

Base, alternative and stress cases

  • Traditional strained versus retained solids
  • 8% versus 12% protein
  • Viscosity-limited filling and shorter CIP
  • Acid whey sold, concentrated or treated

Engineering brief

Model the complete decision, not an isolated unit operation.

Arla Foods Ingredients publicly contrasts a traditional strained process that creates acid whey with a retained-solids high-yield route. The product literature supports the route comparison, not private plant KPIs.

Viscosity, recipes, cleaning frequency, heat-transfer coefficients and line losses are transparent model inputs. The study does not imply access to an Arla formulation or manufacturing line.

01 · Model basis

What the Acatian model needs to resolve

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

Inputs

Data

Milk composition and ingredient recipe

Evidence

Fermentation and separation retention

Plant

Protein/solids target and rheology

Basis

Heat treatment, filler, CIP and cold storage

Mechanisms

Balance

Packaged yield = accepted product mass / standardised milk mass

Model

Protein, fat, lactose, mineral and water balances

System

Thermal duty = mass flow × Cp × temperature change

Time

Viscosity links pressure drop and filler throughput

Constraints

Limit

Protein/solids specification

Risk

Viscosity and heat-transfer behaviour

Capacity

Filler rate and cold-storage capacity

Gate

CIP sets, water and acid-whey outlet

Outputs

Result

Packaged tonnes and milk-to-product yield

Decision

Protein recovery and acid-whey tonnes

Plant

Line utilisation and cold inventory

Value

CIP, energy, wastewater and marginal value

02 · Acatian workflow

Build it in six controlled steps

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

    Set identical saleable-product specifications.

  2. 02

    Close milk constituent balances.

  3. 03

    Build the separation and retained-solids branches.

  4. 04

    Add rheology, heat treatment and filling.

  5. 05

    Schedule CIP, QC and cold storage.

  6. 06

    Compare whole-line yield and burden.

03 · Decisions

Questions the model should answer

Which route creates the best accepted yield?

When does viscosity erase a yield advantage?

What is the real cost of acid whey?

Which cleaning or filling evidence is missing?

04 · Evidence boundary

Validate before the result carries weight

Validation

Reconcile constituents, packaged mass, acid-whey composition, rheology, meter data, CIP records and line speed over representative production periods.

Limitations

Product-literature claims remain attributed. The model does not reproduce an Arla recipe, actual site performance or product-quality qualification.

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. Arla Foods Ingredients — process comparisonFirst-party schematic contrasting strained and retained-solids routes.
  2. Arla Foods Ingredients — ingredients portfolioPublic high-yield and whey-protein product 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.