Clinker production increased by 8%, freelime deviation reduced by 25% at Holcim cement plant in Italy

ABB Ability™ Expert Optimizer and other digital solutions enable plant--wide automation to help Holcim achieve enhanced productivity and quality at its Ternate plant in Italy

Share this page

ABB Ability™ Expert Optimizer and other digital solutions enable plant--wide automation to help Holcim achieve enhanced productivity and quality at its Ternate plant in Italy

In its endeavor to reduce energy use, Holcim implemented a complete automation solution from ABB for its plant in Italy. The primary goal of this automation project was to reduce energy demand in all areas, combined with the search for the optimal operating point, consistent with productivity and quality targets, while staying compliant with environmental emission limits.

Key facts

 Customer: 

Holcim

 Country: 

Italy

Customer need: 

Implementing complete and extensive, plant-wide modernization while achieving targets on quality and meeting environmental commitments

ABB solution:
Customer benefits:


Optimized operations resulting in greater productivity, minimized energy costs and enhanced environmental sustainability

Year2009

Energy optimization - a key success enabler for the cement industry

Cement producers are large consumers of thermal and electrical energy, which globally is available at steadily increasing costs. Efforts to reduce demands by using higher efficiency equipment and substituting fuels and raw materials to lower production costs are some efforts in recent years to offset this increase in energy costs. Finding the optimal operating point within the boundaries of dynamically variable constraints of quality and productivity targets, depends on the right price mix of fuels and timely purchase of electrical energy, while constantly reducing demand for these resources.

Cement manufacturing is a complex and energy-intensive process. A key operation in this process is the conversion of ground raw materials (CaCO3, clay and/or shale) into clinker in the kiln. This operation, involving intensive heating up of raw materials in a conventional control of the cement kiln requires an experienced operator who constantly interprets process conditions and makes frequent adjustments to set points established by the controller. This task is made more difficult by complex responses, time delays and interactions between individual process variables. As a result, conventional kiln control operates at temperatures higher than optimum, leading to unnecessarily high energy usage.

The need for extensive heat production and individual-centric conventional kiln control creates an operating environment of heavy energy demand.

Optimizing energy demand through variable speed drives and model predictive control

ABB implemented a complete solution for Holcim, driven by digital technologies that aided in the gathering of information followed by modeling of the process to identify the best possible way of running the plant at all times to achieve all objectives.

One key component of this solution was variable speed drives (VSDs) and the other model predictive control (MPC). Both of these components, coming together by the use of advanced digital technologies, was key to enabling optimized energy usage at the Holcim plant.

The large fans that draw air through the kiln, precalciner, mills and filters into the exhaust stack, supported by smaller fans to push air into the grate cooler, require precise airflow adjustment and control. These adjustments need to account for a variety of factors, including atmospheric conditions, process conditions and ventilation. This is where VSDs installed at the plant played a key role in driving energy efficiency; and, depending on the required flow rate, helped achieve power savings of up to 70% when compared with fixed-speed motors.

At the Holcim plant, ABB used a multidrive system, which offered all the benefits of VSD plus a range of additional benefits including reduced cabling requirements, energy-savings from motor-to-motor braking, reduced space requirement and elimination of low voltage distribution required for single drives.
A combination of data capture and process modeling tools helped Holcim reduce demand for electrical energy with no compromise on plant output.
VSDs can help achieve power savings of up to 70% as compared with fixed speed motors

A complete solution driven by digital transformation

In addition to the VSDs, ABB implemented an MPC solution. The MPC is based on on a receding horizon philosophy - wherein a sequence of future optimal control actions is chosen according to prediction of short-to-medium term evolution of the system during a given time. When measurements or new information become available, a new sequence is computed which then replaces the previous one. The objectives of each new sequence run are the the optimization of performance and protection of the system from constraint violations.

This combination played a key role in helping Holcim achieve all its objectives from automation at the plant and realize wide-ranging benefits.

Optimizing energy use while staying true to all operational objectives

As a result of implementing the complete solution from ABB, Holcim realized a wide range of benefits at its plant in Italy. These include:
  • Monitoring and reporting on production, process operations, energy and emission resulting in better utilization of energy, equipment, inventories and capacities
  • Advanced kiln control operating kiln in an optimum manner ensuring good quality products, lower burning zone temperature (BZT) and lower energy costs
  • Kiln fuel mix optimization through an Alternative Fuels Optimization Module resulting in economically optimal reactions to changing conditions in fuel, waste and raw meal quality; while ensuring enforcement of environmental, contractual and technical constraints
Digital transformation helps optimize energy use while ensuring operational excellence

Learn more

  • Contact us

    Submit your inquiry and we will contact you

    Contact us
Select region / language