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Braintree's predictive emission monitor passes EPA's NOx tests

EPA found that a predictive emission monitor on Braintree's Potter II Unit 3 matched reference NOx measurements on gas and oil. It estimated that it would cost less than half as much as an analyzer.

  • 1 an organization

    EPA approved the software as Unit 3's NOx monitor and estimated that it would cost less than half as much a year as an analyzer.

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

An independent regulatory document supports the benefit.

Compared with

Hourly NOx readings from a temporary reference method system over the same hours, judged by EPA's three statistical tests. Measured.

Without the system
A linear correlation coefficient (r) above 0.8 required
With it
r = 0.8524 on natural gas and r = 0.9211 on fuel oil
The system’s part
Not isolated. EPA measured the software's accuracy against reference measurements over the same hours, and the cost comparison is an estimate. The letter describes relationships developed for each fuel and conditions for retraining the PEMS, but it does not say whether those relationships are learned statistical models or fixed equations.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.
Benefit type
Improved Task Accuracy
System
Predictive emission monitoring system (PEMS) on Potter II Unit 3
Made by
Not named in the letter
Used by
Braintree Electric Light Department (BELD), Norton P. Potter II Station Unit 3
Where
Braintree, Massachusetts, 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 3 at Braintree Electric Light Department's Norton P. Potter II Station (ORISPL 01660). Letter to Braintree Electric Light Department, 31 May 2006.

    The PEMS NOx lb/mmBtu output passed each of the three statistical tests for both fuels.

Details

AI system

Workflow

The PEMS read fuel flow and properties, combustion air, steam injection and exhaust conditions. Relationships developed for each fuel converted the readings into a NOx emission rate. Redundant sensors and hourly manual readings of gauges checked the inputs.

Money

Kind of value

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

Amount

Estimate: $12,950

Recipients and payers

Braintree Electric Light Department

Follow-up

Conditions for replication

Inputs must stay within the range of the training data, or BELD must report the unit's maximum potential NOx rate. During startup, shutdown or loss of steam injection, BELD must report the maximum potential NOx rate.

Entry details

Sector

Environment and climate.

Purpose

An unnamed vendor built the PEMS to compute Unit 3's NOx emission rate from turbine operating readings so that it 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). Braintree's predictive emission monitor passes EPA's NOx tests (AIBD-0846). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0846.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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