Energy & Yield: Steam, yield, loss
Reduce steam waste, recover heat, lift spirit yield, and cut feints and losses while preserving product quality and safety guardrails.
Optimize the economics around the still.
Energy & Yield connects utility meters, still state, condenser duty, reflux, cut timing, feints recycle, and loss points. It recommends setpoints that save energy only when spirit quality and safety limits remain protected.
- Balance steam input against heat recovery and throughput.
- Detect yield leakage into feints, tails, drains, and hold tanks.
- Rank energy actions by value, risk, and quality impact.
Yield and energy are modeled together.
The agent learns how each still converts heat into hearts under changing wash, ambient conditions, fouling, and operator settings. It flags when more steam is no longer buying more quality spirit.
- Steam and condenser data are normalized per run and recipe.
- Feints and loss trends are tied back to cut and process state.
- Optimization remains inside ABV, methanol, and quality constraints.
Capabilities
Focused controls for the work that determines yield, quality, loss, and release confidence.
Steam optimization
Recommend boil-up, reflux, and heat input settings that lower energy per proof liter.
Heat recovery
Identify when recovered heat can preheat wash, feed CIP, or reduce utility demand.
Yield protection
Track hearts yield against wash, still, cut, and feints recycle conditions.
Loss accounting
Quantify loss to tails, feints, venting, drains, transfers, and off-spec hold.
Sustainability reporting
Produce auditable run-level energy and loss records for operations and finance.
Grounded in plant evidence.
The agent reads operational signals, lab context, quality data, and business constraints before making a recommendation.
| Signal group | Examples | Status |
|---|---|---|
| Utility signals | Steam flow, condensate, heat recovery, cooling water, electricity, and fuel price context. | Used |
| Process state | Still charge, wash composition, temperatures, pressures, ABV, reflux, run phase. | Used |
| Yield records | Hearts volume, feints, tails, off-spec, tank transfers, drains, and batch closeout. | Used |
| Quality limits | Cut windows, methanol limits, congener targets, product specs, human approvals. | Used |
Bounded optimization loop
The agent works as a closed loop, but every change remains inside operator-approved thermal and quality constraints.
- Step 1CONTROLLED
Observe run economics
Calculate current energy per proof liter and yield leakage while the run is active.
- Step 2CONTROLLED
Recommend setpoint change
Propose steam, reflux, condenser, or recycle adjustment with expected impact.
- Step 3CONTROLLED
Verify quality and savings
Confirm ABV, congener, methanol, and yield outcomes before expanding bounds.
Measured with run-level evidence.
Illustrative design-partner targets. Caskent ties each number to source signals and operator decisions.
Bounded autonomy, human approval, complete trace.
Every recommendation is grounded in data, constrained by recipe and safety limits, and written to the audit log with the source signals that produced it. SSO, RBAC, encryption, tenant isolation, and SOC 2 Type I work in progress support enterprise deployment.
Works with the rest of the stack
Caskent agents share evidence through the digital twin and audit layer, so each workflow improves the next one.
- 01Open →
Cask & Maturation
Warehouse aging, angel share, extraction, and release readiness.
- 02Open →
Blend & Proof
Blend plans, dilution, filtration, and target profile fit.
- 03Open →
Robotic Bottling
Fill, cork, label, inspect, pack, and trace the line.
- 04Open →
Distillation and Maturation Digital Twin
Simulate cut, aging, blend, and release outcomes before action.
Energy and yield used to be separate conversations. Caskent shows the tradeoff in the run, with quality limits still in charge.
Put Energy & Yield under bounded autonomy.
Start with one line, warehouse zone, or production workflow. Prove the metric, review the log, then expand site by site.