grl It. Net-Zero Corridor Control. An AVEVA PI System, APM, AI/ML and Connect Solution for AVEVA City. 

Scene 1

An AVEVA PI System, APM, AI/ML and Connect Solution for AVEVA City

The Challenge: A Fragmented Industrial Ecosystem. 

Scene 2

The Challenge: A Fragmented Industrial Ecosystem

Mining, refining, smelting, and energy systems operate independently with no unified visibility across the corridor

Critical equipment failures drive unplanned downtime, energy waste, and emission spikes across facilities

Sustainability reporting relies on partial, lagging data—making credible progress tracking nearly impossible

AVEVA City's Aluminum and Energy Corridor is the region's economic backbone and its largest source of CO₂ emissions. Without corridor-wide coordination, production and energy decisions create unintended consequences and missed opportunities for optimization.

The Hidden Costs of Disconnection. Operational Fragmentation. 

Scene 3

Each plant maintains separate control systems and dashboards. Energy purchasing, production planning, and maintenance scheduling operate in isolation—leading to suboptimal decisions that ripple across the corridor.

The corridor faces significant energy price volatility. Without joint optimization of production, maintenance, and energy purchasing, facilities consume more MWh per ton than necessary while CO₂ intensity remains unnecessarily high.

Boilers, turbines, compressors, and conveyors are reaching end-of-life. Reactive maintenance forces operations into less efficient modes, compounding both cost and environmental impact.

ÄJ1//åZ1,. Our Vision: AI-Driven Corridor Intelligence. 

Scene 4

Our Vision: AI-Driven Corridor Intelligence

Net-Zero Corridor Control transforms AVEVA City's industrial corridor into a connected, AI-assisted ecosystem built entirely on AVEVA technologies. The solution creates a unified view across mining, refining, smelting, downstream processing, and energy systems—enabling data-driven decisions that optimize performance while reducing environmental impact.

"A corridor-wide framework that coordinates production, maintenance, and energy decisions with transparency, intelligence, and human oversight."

Four-Layer Solution Architecture. Data & Asset Foundation. 

Scene 5

AVEVA PI System & PI AF collect time-series data across all corridor operations and build unified asset hierarchies with standardized KPI calculations

AVEVA APM ingests PI and AF data to develop predictive models and risk scores for critical assets, linking health metrics to energy and CO₂ performance

Advanced models forecast energy demand and emissions, detect abnormal patterns, and recommend operating and maintenance actions with confidence scores

AVEVA Connect publishes corridor-wide KPIs, APM dashboards, and AI insights with role-based access for operators, planners, and sustainability teams

Quantified Impact: Built on Data. 5-10%. Energy Reduction. 

Scene 6

Lower consumption per ton of product across the corridor

Measurable reduction over baseline performance

Fewer unplanned outages for critical assets

CO₂ emissions per ton (alumina, aluminum, finished products)

Energy intensity (MWh/ton) by site and corridor-wide

Unplanned downtime hours and critical events

AI/ML recommendation accuracy and adoption rate

00 l',d//l/l. Human-in-the-Loop: Responsible AI Governance. 

Scene 7

Human-in-the-Loop: Responsible AI Governance

All models' respect safety, regulatory, and operating limits defined collaboratively with domain experts and plant operators

Every AI suggestion includes expected impact on energy, CO₂, and risk—plus confidence levels and supporting data

Engineers and operators review, accept, modify, or reject all AI recommendations. Human judgment remains paramount

All actions and decisions are logged for ESG reporting, continuous improvement, and regulatory compliance

Models undergo periodic review and retraining using fresh PI and APM data to manage drift, avoid bias, and maintain performance as corridor operations evolve.

Phased Implementation Roadmap. 1. Stage 1: Data Integration. 

Scene 8

Connect corridor assets to PI System and define AF hierarchies and baseline KPIs

Deploy AVEVA APM for critical assets and establish risk and performance baselines

Launch targeted use cases for boiler efficiency and compressor reliability optimization

Publish corridor KPIs and insights to AVEVA Connect for stakeholder engagement

Expand coverage and continuously improve models, KPIs, and governance processes

This staged approach minimizes risk, demonstrates early value, and builds organizational confidence while advancing AVEVA City toward corridor-wide net-zero readiness.

Technology Stack: Built on AVEVA. AVEVA PI System. 

Scene 9

Time-series data collection and storage across all corridor operations

Asset modeling, contextualization, and automated KPI calculations

Predictive maintenance strategies and asset risk management

Forecasting, anomaly detection, and explainable recommendations

Cloud-based visualization, scenario planning, and cross-team collaboration

A Net-Zero Ready Future. Net-Zero Corridor Control gives AVEVA City a unified, AI-assisted platform to reduce energy consumption, cut CO₂ emissions, and minimize unplanned downtime—while maintaining full operational control and building trust in sustainability progress.. 

Scene 10

Net-Zero Corridor Control gives AVEVA City a unified, AI-assisted platform to reduce energy consumption, cut CO₂ emissions, and minimize unplanned downtime—while maintaining full operational control and building trust in sustainability progress.

Corridor-wide performance monitoring and decision support

AI-driven insights that optimize energy, assets, and emissions

Data-driven ESG metrics for stakeholders and regulators

Net-Zero-Corridor-Control_New

Scene 1 (0s)

Scene 2 (10s)

Scene 3 (37s)

Scene 4 (1m 6s)

Scene 5 (1m 29s)

Scene 6 (2m 0s)

Scene 7 (2m 26s)

Scene 8 (2m 59s)

Scene 9 (3m 31s)

Scene 10 (3m 52s)