RESOURCE PERFORMANCE / EXECUTIVE VIEW

Material circularity overview

Follow recovered tonnage, circularity performance, net processing costs and indicative carbon effects across your operations.

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Portfolio intelligence · demo dataset

Turn discarded material
into measurable value.

Understand where material is lost, which streams deliver value, and how recovery investments change operational outcomes.

8 illustrative material streams
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Monthly material flow

Generated, diverted and recovered, hypothetical tonnes

12-month projection
GeneratedDivertedRecovered

Recovery by material

Share of total material successfully recovered

Portfolio

Economic performance

Monthly operating assumptions, USD equivalent

Improvement opportunities

Highest modeled residual material streams

INTERACTIVE MODEL / SCENARIO STUDIO

Explore circularity scenarios

Change collection, quality and commodity-price assumptions. Compare every simulated outcome to the unchanged baseline.

Preset operating conditions

Choose a preset, then fine-tune the operating assumptions below.

Non-predictive scenarios

Scenario controls

All changes apply to active records without modifying saved baseline assumptions.

Baseline vs simulated

Monthly mass balance, tonnes

Comparison

Economic & carbon implications

Illustrative changes relative to the baseline

Stream-level scenario impact

Understand which changes contribute most to the portfolio result.

StreamRecovered baselineRecovered scenarioRecovery changeNet cost change
SOURCE DATA / EDITABLE REGISTRY

Material stream registry

Maintain a local portfolio of streams. Add and update records without deleting archived work.

Material & facilityMonthly generatedDivertedRecoveredRecovery rateNet costStatusActions

IMPACT INTELLIGENCE / TRANSPARENCY

Impact & opportunity analysis

Separate physical recycling outcomes, material economics and illustrative emissions estimates to avoid misleading claims.

Material flow accounting

Mass conservation for all active streams

Carbon sensitivity

Substitution credit less processing impact

Stream impact table

All values use the editable assumptions in the current local dataset.

Material streamGenerated (t)Diverted (t)Recovered (t)Residual (t)Net cost (USD)Indicative tCO₂e
Interpretation. Residual tonnes equal all generated material not successfully recovered. The emissions figure is a scenario-specific substitution proxy, not a greenhouse-gas inventory, life-cycle assessment or certified carbon saving.
METHOD / ASSUMPTIONS / LIMITATIONS

How the model works

Reproducible first-principles accounting with explicit rules, editable parameters and no hidden predictive model.

Material & financial formulas

Monthly values for each active stream

1
Collection and diversion

Diverted = generated × diversion fraction. A stream may be sent to processing without successfully yielding recovered material.

2
Effective material recovery

Recovered = diverted × (1 − contamination) × recovery yield. Residual = generated − recovered.

3
Net cost

Net cost = residual × disposal unit cost + diverted × processing unit cost − recovered × resale unit value.

4
Indicative emissions

Emissions proxy = recovered × avoided-impact factor − diverted × processing-impact factor, in tonnes CO₂e.

Model boundaries

What this demonstration includes and excludes

✓
Transparent portfolio totals

Generated = recovered + residual in every scenario. All forecasts use an illustrative seasonal profile.

✓
Controlled scenarios

Percentage-point modifiers clamp diversion and contamination between 0 and 100 percent. Price and volume modifiers scale baselines.

!
Not a lifecycle assessment

No upstream scope boundaries, transport distances, actual processing energy, landfill methane or product-specific displacement factors are audited.

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Illustrative financials

No taxes, financing, fixed investment, transport charges or market price uncertainty are included unless represented in user-set unit assumptions.

Privacy & security. CircularFlow runs in your browser. No network access, accounts, external APIs, cookies or remote persistence. Data backups are explicit JSON exports. Browser storage is local to the page origin and device. Avoid uploading confidential datasets to public Space repositories.