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SmartCEM-75 stands in for NOx analyzers at a Dearborn plant

EPA found that SmartCEM-75 software matched a NOx analyzer on a Dearborn boiler over 720 hours. It estimated that on a turbine there the software would cost under half as much as an analyzer.

  • 1 an organization

    EPA approved the software as the NOx monitor in place of hardware analyzers and estimated that it would cost less than half as much a year to run on Unit GTP1.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

found, the grade of this recordstudiedreportedclaimed

Two independent regulatory documents support the benefit.

Compared with

Hourly readings from the unit's certified NOx analyzer over the same 720 operating hours, judged by EPA's three statistical tests. Measured.

Without the system
A linear correlation coefficient (r) above 0.8 required
With it
r = 0.9678 over all 720 hours and r = 0.9286 over 98 startup and shutdown hours
The system’s part
Not isolated. EPA measured the software's accuracy against a certified analyzer over the same hours. It did not compare monitoring with and without the software in use, and the cost comparison is an estimate. EPA calls the BL1100 system neural-network software and the GTP1 system a hybrid statistical model trained on unit data.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.
Benefit type
Improved Task Accuracy
System
SmartCEM-75 predictive emission monitoring system (PEMS)
Made by
CMC Solutions, L.L.C.
Used by
Dearborn Industrial Generation (DIG), on boiler Unit BL1100 and turbine Unit GTP1
Where
Dearborn, Michigan, United States
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Estimating the Quantifiable Characteristics of Products, Events, or Information, Monitoring Processes, Materials, or Surroundings
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Regulatory document, by authors with no tie to the system.

    U.S. Environmental Protection Agency, Clean Air Markets Division. Approval of the Predictive Emission Monitoring System Installed on Unit BL1100 at Dearborn Industrial Generation (Facility ID (ORISPL) 55088). Letter to Dearborn Industrial Generation, 6 September 2006.

    The PEMS NOx lb/mmBtu output passed each of the three statistical tests for all unit operations.
  2. Regulatory document, by authors with no tie to the system.

    U.S. Environmental Protection Agency, Clean Air Markets Division. Final Approval of the Predictive Emission Monitoring System (PEMS) Installed on Unit GTP1 at Dearborn Industrial Generation (Facility ID (ORISPL) 55088). Letter with attachments, 5 April 2006 (scanned copy).

    the estimated annual cost of operating and maintaining a PEMS at Unit GTP1 using trained in-house staff and a portable analyzer would be less than half the cost associated with CEMS

Details

AI system

Workflow

DIG contracted CMC Solutions to collect the data for the 720-hour demonstration. The certified analyzer on the unit gave hourly reference data while the PEMS was trained and tested. The PEMS read boiler inputs such as fuel flows, air flow, temperatures and oxygen levels.

Money

Kind of value

Estimated yearly saving of the PEMS on Unit GTP1 over an analyzer even if outside contractors run the extra audits

Amount

Estimate: $12,950

Recipients and payers

Dearborn Industrial Generation

Follow-up

Conditions for replication

Each input must stay within the range of the training data, or DIG must report the unit's maximum potential NOx rate. The PEMS must keep passing daily checks, monthly audits in the ozone season and periodic test audits.

Entry details

Sector

Environment and climate.

Purpose

CMC Solutions built SmartCEM-75 to predict a unit's NOx emissions from its sensor readings so that the prediction can serve as the unit's emissions monitor.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, currency and prices, period and unit, realization, gross or net, included costs, comparison, method, return and payback, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). SmartCEM-75 stands in for NOx analyzers at a Dearborn plant (AIBD-0843). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0843.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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