Control and monitor biomass plant activities and perform maintenance as needed.
U.S. Workers
15,950
Median Salary
$61,710
10-Year Growth
+1.6%
Annual Openings
1,600
Typical entry: High school diploma or equivalent
16 of 16 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Operate biomass fuel-burning boiler or biomass fuel gasification system equipment in accordance with specifications or instructions.
AI: Fully automatable - Control systems and AI can operate boilers or gasification equipment to specified parameters and manage standard operating sequences autonomously.
Operate valves, pumps, engines, or generators to control and adjust production of biofuels or biomass-fueled power.
AI: Fully automatable - Valves, pumps, engines, and generators can be controlled and adjusted by automated control systems and AI to regulate production without continuous human action.
Operate equipment to start, stop, or regulate biomass-fueled generators, generator units, boilers, engines, or auxiliary systems.
AI: Fully automatable - Start/stop/regulation sequences for biomass-fueled generators and auxiliaries are routinely automated and can be managed end-to-end by AI/control systems under normal conditions.
Record or report operational data, such as readings on meters, instruments, and gauges.
AI: Fully automatable - Automated sensors and software can reliably read meters and generate reports without human intervention.
Assess quality of biomass feedstock.
AI: Fully automatable - Sensors (moisture, NIR, imaging) combined with AI models can quantitatively assess feedstock quality and flag issues, though some samples may still require lab confirmation.
Measure and monitor raw biomass feedstock, including wood, waste, or refuse materials.
AI: Fully automatable - Measuring and monitoring feedstock (weight, moisture, particle size, contaminants) can be fully automated with sensors and AI-driven analytics already in deployment.
Calculate, measure, load, or mix biomass feedstock for power generation.
AI: Fully automatable - PLCs, automated feeders, and AI-driven recipes can calculate mixes and control loading/mixing operations without continuous human input.
Manage parts and supply inventories for biomass plants.
AI: Fully automatable - Inventory and supply management are maturely automated with ERPs and AI forecasting that can handle ordering, tracking, and optimization.
Calibrate liquid flow devices or meters, including fuel, chemical, and water meters.
AI: Fully automatable - Implementing load or switching orders can be fully automated by AI integrated with plant control systems and SCADA following predefined safety and procedural constraints.
Read and interpret instruction manuals or technical drawings related to biomass-fueled power or biofuels production equipment or processes.
AI: Fully automatable - Large language and vision models can parse and explain manuals and technical drawings, providing actionable interpretations for technicians.
Operate high-pressure steam boiler or water chiller equipment for electrical cogeneration operations.
AI: Partial - Control systems and AI can handle routine operation of boilers and chillers, but safety-critical decision-making and emergency responses still require human operators.
Operate equipment to heat biomass, using knowledge of controls, combustion, and firing mechanisms.
AI: Partial - Automated control systems can manage combustion and firing parameters, yet unexpected conditions and safety oversight necessitate human involvement.
Inspect biomass power plant or processing equipment, recording or reporting damage and mechanical problems.
AI: Partial - AI can analyze camera and sensor data to detect many visible defects and generate reports, but it cannot fully replace on-site human inspection and nuanced mechanical diagnosis.
Clean work areas to ensure compliance with safety regulations.
AI: Partial - Basic cleaning tasks can be handled by autonomously guided robots, but complex or hazardous industrial cleaning still requires human workers.
Perform routine maintenance or make minor repairs to mechanical, electrical, or electronic equipment in biomass plants.
AI: Partial - AI can diagnose issues and guide technicians and some simple robotic systems can perform routine tasks, but hands-on repairs usually require human skill.
Preprocess feedstock to prepare for biochemical or thermochemical production processes.
AI: Partial - AI can run and optimize automated preprocessing lines (sorting, grinding, conveying) and provide control/quality decisions, but variable biomass characteristics and hands‑on adjustments still require human oversight or manual intervention.