OptiEnergy

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AI-Driven Energy & Asset Optimization Platform

Page last modified
December 3 2025

OptiEnergy is an AI-driven energy and asset optimization platform that uses real-time plant and control system data to continuously improve how gas-fired generators, hybrid power systems, and industrial loads are operated. The system ingests data from generators, process equipment, and environmental sensors, applies physics-based and machine-learning models to understand true performance and losses, and then recommends or automatically applies optimal setpoints and dispatch strategies.

OptiEnergy optimizes across multiple objectives - fuel cost, efficiency, emissions intensity, reliability, and user-defined KPIs - at both unit and fleet level. Operators can start in advisory mode, viewing recommendations and quantified impacts (e.g., fuel savings, CO₂e reduction, avoided run hours), and then progress to partial or full closed-loop control where appropriate, within defined safety and operating envelopes.

The platform is designed for fast deployment using existing DCS/SCADA/PLC and historian infrastructure, with dashboards and alerts for operators, engineers, and management. When combined with VL Energy’s ES-PEMS, OptiEnergy uses compliance-grade emissions data as part of the optimization objective, enabling operators to simultaneously reduce energy cost and emissions intensity while maintaining regulatory confidence.

Pros & Limitations
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Reduced fuel and energy cost – Optimizes generator loading, setpoints, and operating strategies, typically delivering measurable reductions in fuel consumption and operating cost.
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Lower emissions intensity – Improves efficiency and eliminates unnecessary run hours, reducing CO₂e per MWh or per unit of production; when combined with ES-PEMS, optimization is driven by compliance-grade emissions data.
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Fleet-level visibility and control – Provides a unified view of performance across multiple units and sites, enabling better dispatch decisions and cross-site benchmarking.
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Software-based and fast to deploy – Leverages existing DCS/SCADA/PLC and historic infrastructure; no need for major hardware changes, making pilots and scale-up faster and lower risk.
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Supports advisory and closed-loop modes – Can start as an operator decision-support tool and evolve to partial or full closed-loop optimization within defined safety and operating envelopes.
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Data and integration dependent – Performance depends on the quality and availability of plant data and successful integration with existing control and historic systems. Upon collection of more data, forecasting becomes more precise and reliable.
Specification
Title Description
Theme/Discipline
Emission Monitoring
Core Tech
AI & Advanced Analytics
Core Technology
Artificial Intelligence and Machine Learning
Industry
Oil & Gas, Power Generation, Agriculture, & Mining
Data Driven Dashboards
Allow operators to quickly identify issues, prioritize interventions, and optimize performance with confidence
Technology Readiness Level

The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.

[5/9]

Development Technology demonstration Mature / Proven
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VL Energy LTD is a company that specializes in providing efficient and secure predictive emissions monitoring systems (ES-PEMS) for various industries. Their AI-powered solution offers real-time emissions data monitoring, allowing companies to improve sustainability efforts and reduce their carbon footprint. VL Energy's technology is the first software-based emission monitoring solution approved by regulators in Canada, and it can detect a wide range of gas emissions from different combustion equipment. The company works with businesses across various sectors, including manufacturing, energy, utilities, commercial real estate, and agriculture, offering tailored solutions for companies of different sizes and complexities. VL Energy's ES-PEMS not only helps companies comply with environmental regulations but also provides cost-effective, hardware-free monitoring that can optimize operations, enable preventative maintenance, and simplify emissions reporting through its user-friendly dashboard and auto-reporting features.

Country of Headquarters
Canada

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