Industrial Energy Management
Abriliam Consulting
Helping industrial facilities reduce energy costs through data-driven analysis.
What We Do
Plant Performance Analytics
Chiller plant diagnostics, refrigeration system optimization, and equipment performance analysis using operational trend data and thermodynamic modeling.
Savings Estimation & M&V
Prospective energy savings analysis and post-implementation measurement & verification aligned with IPMVP for retrofit justification and incentive applications.
Electricity Cost Optimization
ML-driven peak demand prediction, Global Adjustment optimization for Ontario Class A customers, and load curtailment strategy development.
Featured Work
View all →IESO Coincident Peak Prediction
ML-driven prediction of Ontario's top-5 system demand hours for Class A Global Adjustment optimization
Floating Head Pressure — Grocery Cold Storage
Savings estimation and M&V framework for floating condenser head pressure control on a grocery chain cold storage warehouse with reciprocating compressor racks and air-cooled condensers.
Chiller Plant Diagnostics
End-to-end diagnostic analysis of a central chiller plant with three embedded operational faults — from data generation through fault detection to energy waste quantification.
Gas Bills by Postal Code
Postal code gas consumption screening to identify neighbourhoods with poor building envelopes for municipal retrofit incentive targeting
Latest from the Blog
All posts →Detecting Sewer Infiltration: Rainfall-Flow Lag Analysis and Multi-Method I&I Detection for Municipal Wastewater Systems
A multi-method detection framework for inflow and infiltration in municipal sanitary sewers — combining cross-correlation lag analysis, hydrograph decomposition, conductivity-based dilution tracing, and machine learning to identify, quantify, and prioritize I&I remediation across a multi-plant collection system.
Gas Bills by Postal Code: A Screening Tool for Municipal Envelope Incentive Programs
Using aggregated natural gas consumption data by postal code and property tax roll characteristics to identify neighbourhoods with the worst-performing building envelopes — and target retrofit incentive dollars where they'll do the most good.
Predicting Ontario's Coincident Peaks: ML-Driven Forecasting for IESO Global Adjustment Optimization
A machine learning framework for predicting Ontario's top-5 system demand hours under the Industrial Conservation Initiative, using weather-driven demand regression and a two-stage alert system to enable targeted load curtailment for Class A electricity customers.
Notes & Highlights
All notes →Waterloo Region Thermal Energy Utility — Conceptual Business Case
WRCE's conceptual business case for a regional thermal energy utility explores governance models, capital requirements, and what shared thermal infrastructure means for Ontario's energy landscape.
Cold Climate Heat Pumps Are Real — But the Sizing Math Matters
Cold climate heat pump technology has matured, but facility managers considering electrification need to understand the design-day sizing gap and what it means for backup capacity.
Waterloo Region's Thermal Energy Strategy
Waterloo Region Community Energy's thermal strategy assessment explores district energy and thermal network opportunities — and signals where Ontario's municipal decarbonization efforts are heading.
Have a project that needs analysis?
We work with industrial and commercial facilities across Ontario on energy cost reduction, system optimization, and data-driven decision making.