Brewery · plant-wide process model

How to model a brewery from brewhouse to packaging

Make extract, fermentation, tank occupancy, losses, utilities, cleaning and packaging part of one production model.
How to model a brewery from brewhouse to packaging in the Acatian flowsheet workspace
One flowsheet connects assumptions, balances, equipment, time, economics and evidence.
MillingMash / lauterBoilFermentationMaturationFilterPackage

Engineering brief

Model the complete decision, not an isolated unit operation.

A brewery is a network of material transformations and shared vessels. Acatian can track extract, water, alcohol, carbon dioxide, yeast and losses while finite-capacity scheduling tests whether cellar, filtration, CIP and packaging support the production plan.

Energy and water are time-dependent. Brewhouse steam, wort cooling, cellar refrigeration, packaging and cleaning peaks should be reconciled against installed utilities rather than averaged away.

01 · Model basis

What the Acatian model needs to resolve

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

Inputs

Data

Malt and adjunct assay, extract efficiency and recipes

Evidence

Yeast, attenuation, fermentation and maturation profiles

Plant

Tank sizes, transfer, filtration and packaging rates

Basis

CIP recipes, water, steam, refrigeration and CO₂

Mechanisms

Balance

Extract, alcohol, CO₂ and water balances

Model

Fermentation and temperature trajectories

System

Tank-state and campaign scheduling

Time

Cleaning, utility and loss accounting

Constraints

Limit

Brewhouse turns and cellar residence time

Risk

Cooling and refrigeration peaks

Capacity

Filtration and packaging availability

Gate

CIP, water and product-change sequences

Outputs

Result

Beer yield and loss by step

Decision

Tank occupancy and annual volume

Plant

Water, energy and CO₂ intensity

Value

Bottlenecks, campaign options and COGS

02 · Acatian workflow

Build it in six controlled steps

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

    Define recipes, SKUs and production calendar.

  2. 02

    Close hot-side material and energy balances.

  3. 03

    Add fermentation and maturation trajectories.

  4. 04

    Map every vessel, transfer and loss.

  5. 05

    Schedule CIP, filtration and packaging.

  6. 06

    Compare volume, mix and utility scenarios.

03 · Decisions

Questions the model should answer

Which tank is the real capacity constraint?

How does SKU mix change output?

Where can water or heat be recovered?

What is the value of another cellar or packaging asset?

04 · Evidence boundary

Validate before the result carries weight

Validation

Reconcile against brew sheets, tank histories, meter data, packaged volume, loss reports and CIP records over representative production periods.

Limitations

The model does not replace food-safety plans, alcohol regulation, pressure-system review or product sensory qualification.

Frequently asked questions

Practical modelling questions

Can multiple beer styles be scheduled?

Yes. Each SKU can use its own recipe, tank time, cleaning and packaging route.

Can water and energy intensity be calculated?

Yes. Process and CIP demands can be tied to batches and compared per packaged volume.

Can fermentation CO₂ recovery be included?

Yes. Gas production, collection, purification, storage and reuse assumptions can be explicit.

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.