Efficiency Signal provides utilities with computer vision that informs maintenance of steam condensers.
Digital Twin & Predictive Maintenance for Condensers
eSentinel™ turns the data your plant already collects into early warnings, root-cause diagnosis, and executed fixes. Low CapEx. Low OpEx.
  • AVEVA
  • Bionetics
  • AES
  • DiPhyx
  • AWS
EPRI NAMED ESENTINEL™ A TOP-4 AI USE CASE IN THE OPEN POWER AI CONSORTIUM
Steam Condensers run 85% of the grid, and almost nobody can see inside them.
1–3% OUTPUT LOST · $250K–$340K/DAY AT RISK, INDUSTRY ESTIMATES
The problem isn't a lack of data. It's that nothing acts on it, until now.
DCSSCADAHISTORIANOEM SPECSFIELD SENSORSONE SIGNAL
eSentinel™ drives Maintenance Planning and Execution.
eSentinel™ — ALERT
AIR IN-LEAKAGETUBE FOULINGCW FLOW
DRIFT DETECTED, 22 DAYS BEFORE THRESHOLD
Same data. Same physics. Weeks earlier.
40120240SCFM~3 MONTHSMW500150ESENTINEL WOULD HAVEFLAGGED HEREAIR IN-LEAK BEGINS · 40 SCFMOUTPUT FORCED TO 150 MW~8,400 MWh/DAY LOSTDIAGNOSED: CROSSOVEREXPANSION-JOINT CRACKREPAIRED → 10 SCFM150 MWRESTORED
The manual forensics behind this recovery took weeks of expert time. eSentinel™ predicts and flags the drift weeks earlier.
“E-Signal allows our dispatches to be far more efficient, identify root causes faster, and lower maintenance costs for our clients.”
BOB MECHEM · AMERICAN EFFICIENCY SERVICES
A 1% increase in MW production from more timely diagnosis and intervention returns roughly 7× eSentinel™'s cost per year to a typical 450 MW plant.
A 20–40% reduction in plant downtime, and reduced maintenance costs, returns another 13× eSentinel™'s cost per year to a typical 450 MW plant.
ROI MULTIPLE ON ANNUAL COST
19.4×
RECOVERY OF SYSTEM-INSTALL INVESTMENT
30 days
NET ANNUAL BENEFIT
$3.20M
MWh/YR RECOVERED
23,652
5-YR CUMULATIVE NET · $16.02M
Illustrative model, 1–3% heat-rate improvement, 20–40% reduction in downtime, industry estimates. eSentinel™ quantifies the real number.Get your plant's real number →
Avoid costly damage by catching problems early.
Start with an assessment of the data you already have. No new hardware. ~90-day pilot. Documented ROI.
  • AVEVA
  • Bionetics
  • AES
  • DiPhyx
  • AWS
EPRI NAMED ESENTINEL™ A TOP-4 AI USE CASE IN THE OPEN POWER AI CONSORTIUM
Efficiency Signal
Condenser Performance Optimization for Power & Industrial Plants
EPRI'S OPEN POWER AI CONSORTIUM NAMED USING DATA ANALYTICS TO INFORM CONDENSER MAINTENANCE A TOP-4 AI USE CASE
AVEVA · Bionetics · AES · DiPhyx · AWS
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