Powitec Intelligent Technologies

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Powitec Intelligent Technologies GmbH

Company name „Powitec“: Process Optimization With Intelligent Technologies
Registered office: Essen, Germany
Founded: 2001
Employees: approx. 40, esp. software engineers and methods engineers
Branch office: Ilmenau/Thuringia
Internet: www.powitec.de

Powitec Intelligent Technologies GmbH is technology leader in developing and implementing intelligent automatization systems for complex industrial combustion processes. The optimization strategy – software based process-simulation on base of statistical models – is applied to power plants, waste incineration plants, cement and lime plants.

The central product PiT Navigator optimizes processes with autarkic, self learning and continuously readapting Software. Through optical sensors and highly sophisticated neural nets (artificial intelligence) the technical control system receives „eyes and brain“!

To a substantial extent energy efficiency increases as well as emission lowering are achieved by first-time adoption of specifically developed multi-sensors in combination with image processing and information compression modules as well as a multidimensional automatic controller on basis of neural software nets. This is at present the highest level of development in industrial combustion optimization. More than 100 national and international reference installations vouch for the success.

Customer's benefits:

improved Energy efficiency
higher operational availability
reduced pollutant emissions
increased productivity
reduced operating cost
support of operational staff

The efficient use of resources by aid of PiT Navigator combines ecological and economical targets in an ideal manner. Powitec offers individual technical solutions in order to reveal new process optimization potentials within short-term amortization.

PiT Navigator Benefits

Cement & Lime	Waste to Energy	Power
Quality improvement by process stabilization and need-suiting, constant clinker quality	Increased waste throughput by optimized volume of flue gas, at the same time significant reduction of steam fluctuation	Controlled flame position and burner characteristics flame root and -volume near the burner, fire roll in the combustion chamber
Reduced production costs by lowering fuel consumption through optimizing the local air-/fuel-ratio and increased refuse derived fuels (RDF) usage. Reduction of maintenance due to optimized equipment operation mode	Increased steam amount through floating set-point adaptation because of reduction of steam fluctuation	Increased efficiency through minimizing fuel usage and auxiliary power (Lambda, unburned carbon in ash, temperature flue gas, CO ...)
Reduced energy consumption clinker through more exact piloting of the free lime optimum, precautionary predetermination of a lower free lime content is unnecessary	Savings in auxiliary fuels Oil/Gas by improved compliance with 2 sec/ 850 °C (1562 °F) Temperature	Control of grain spectrum in co action with burn out behaviour and residence time
Process automation adaptive self learning and seeing autopilot with highest flexibility	Improved limits and emissions e. g. slag, avoidance of CO-peaks.	Improved limits and emissions (unburned carbon in ash, CO, NO_x ...)
Improved limits and emissions Cutback of NO_x- und CO-content, (no/reduced NH₃ -injection)	Positive effect on the grate equalized area usage, abatement of streaks	Broadened primary fuel band improving co-combustion of secondary fuels
Increased throughput (if required) kiln-stabilization allows for higher raw meal throughput	Improved endurance loaded components through stabilized equipment operation mode	Positive effects on the boiler less contamination + maintenance, improved boiler wall atmosphere, stable operation mode
=> reduced operating costs	=> increased productivity	=> reduced boiler-operating costs

Cement & Lime

Waste to Energy

Power

Quality improvement

by process stabilization and need-suiting, constant clinker quality

Increased waste throughput

by optimized volume of flue gas, at the same time significant reduction of steam fluctuation

Controlled flame position and burner characteristics flame root and -volume near the burner, fire roll in the combustion chamber

Reduced production costs by lowering fuel consumption through optimizing the local air-/fuel-ratio and increased refuse derived fuels (RDF) usage. Reduction of maintenance due to optimized equipment operation mode

Increased steam amount

through floating set-point adaptation because of reduction of steam fluctuation

Increased efficiency

through minimizing fuel usage and auxiliary power (Lambda, unburned carbon in ash, temperature flue gas, CO ...)

Reduced energy consumption clinker through more exact piloting of the free lime optimum, precautionary predetermination of a lower free lime content is unnecessary

Savings in auxiliary fuels

Oil/Gas by improved compliance with

2 sec/ 850 °C (1562 °F) Temperature

Control of grain spectrum

in co action with burn out behaviour and residence time

Process automation adaptive self learning and seeing autopilot with highest flexibility

Improved limits and emissions

e. g. slag, avoidance of CO-peaks.

Improved limits and emissions

(unburned carbon in ash, CO, NO_x ...)

Improved limits and emissions

Cutback of NO_x- und CO-content, (no/reduced NH₃ -injection)

Positive effect on the grate

equalized area usage, abatement of streaks

Broadened primary fuel band

improving co-combustion of secondary fuels

Increased throughput (if required)

kiln-stabilization allows for higher raw meal throughput

Improved endurance

loaded components through stabilized equipment operation mode

Positive effects on the boiler

less contamination + maintenance, improved boiler wall atmosphere, stable operation mode

=> reduced operating costs

=> increased productivity

=> reduced boiler-operating costs