A Waste-to-Energy Digital Twin Can Only Optimize Inside Your Last Stack Test
A WTE digital twin will find the optimum your permit won't let you run. What 40 CFR 60.58b does to waste plant simulation, and where the twins do pay.
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Andrus Nomm
Chief Automations Officer & OWI Platform Architect. Chief Automations Officer and architect of the Optimal Waste Intelligence (OWI) platform. Builds the machine-learning models, computer-vision sorting, industrial IoT sensor networks, and closed-loop process control that run modern waste-to-energy operations in real time. CTO of FueledBy.Net and co-founder of The Waste Agency. Published by Renewable Waste Energy.
AI and Satellites Now Find the Landfill Methane a Quarterly Walkover Misses
Landfill methane monitoring is shifting from quarterly walkovers to satellites and AI plume detection. Where each method wins, and where it quietly fails.
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You Can't Divert What You Never Measured: Industrial Waste Diversion Starts at the Roll-Off
Most industrial waste diversion numbers fail audit because nobody characterized the roll-off. A process engineer on what to measure before buying a sorter.
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Crushed Concrete Is Carrying Your C&D Waste Recovery Rate
The 76% C&D waste recovery rate is mostly crushed concrete. The wood and gypsum that need a robot and a buyer are where diversion quietly falls apart.
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Generative AI Runs Your Waste Plant's Paperwork, Not Its Set Points
Generative AI copilots help most in a waste plant's back office, not on the line. An engineer on where LLMs pay off, where they hallucinate, and why.
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The Big Haulers Put $100M Behind AI. Almost None of the Margin Comes From the Model.
Waste Connections, Republic and GFL just disclosed real AI waste management ROI numbers. An engineer reads the margin math and finds where it breaks.
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Inside a Waste-to-Energy Power Plant, the Turbine Is the Easy Part
A waste to energy power plant makes about 550 kWh a tonne, but the turbine isn't what decides that. An engineer walks the line from bunker to export meter.
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Your Waste Analytics Dashboard Is Only as Honest as Its Worst Sensor
Real-time waste analytics fails at the data layer, not the dashboard. An engineer on what the screen shows, where the numbers break, and what it costs.
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The Model Is the Easy Part: What Actually Breaks Industrial AI Projects
Most industrial AI projects fail, and rarely because the model is weak. After building OWI, here's what actually breaks them: data, sensors, and integration.
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TOMRA GAINnext Sorts PET Trays at 95% Purity. The Number You Should Ask About Is Recall.
TOMRA GAINnext hit 95% PET tray purity and a 51% PolyPerception stake at IFAT 2026. An engineer's read on recall, conversational plant control, and copper meatballs.
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Waste Intelligence Software: How AI Platforms Run Modern WTE Plants
How waste intelligence software uses sensor fusion and AI to predict feedstock composition and drive real-time process control at WTE facilities.
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Smart Waste Collection: What IoT Sensors, Route Optimization, and AI Actually Deliver
How IoT sensors and AI transform waste collection operations. Real ROI data, implementation requirements, and how smart bins connect to processing plants.
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Predictive Maintenance in Waste Processing: AI That Prevents Downtime
Predictive maintenance in waste processing plants uses AI and sensor data to prevent unplanned downtime, cutting repair costs 25-40% and boosting throughput.
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Advanced Waste Sorting Technology: How AI, Robotics, and Optical Systems Are Replacing Manual Lines
How modern waste sorting technology combines AI classification, robotic arms, and optical sensors to achieve 95%+ purity rates and unlock higher-value recovery.
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How AI Is Transforming Waste Management
How artificial intelligence and machine learning optimize waste sorting, processing, and energy recovery. Real applications from classification to predictive maintenance.
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