Overview
Every industrial company is aware of the impact of electricity costs. For companies like Mayr-Melnhof Karton (MMK), the world’s largest producer of coated recycled cartonboard, these costs play a significant role. Their mill in Frohnleiten, Austria, has a refined mechanical pulp (RMP) line that supplies pulp to two board machines that requires up to 10 MW of electrical power. At 520,000 t/year, the Frohnleiten mill has the highest production capacity in the European cartonboard industry.
The electricity spot price in Austria is highly volatile, so if electricity use can be dynamically scheduled to low-price periods, significant cost savings can be achieved. The required solution needs to adjust to the electricity price, and take all relevant process restrictions and production targets into account. ABB had already supplied Mayr-Melnhof Karton with a cpmPlus History energy monitoring and reporting system (EES) in 2001, so selecting an ABB solution for their energy optimization needs was a next natural step for MMK.
CASE STUDY DATA
Customer
Mayr-Melnhof Karton (MMK) Frohnleiten
Country
Austria
Customer need
Minimize electricity expenditure Save production process costs
Solution
Industrial Demand Side Management - iDSM
Benefits
Intelligent planning optimizes the RMP operation according to electricity spot price, providing power consumption forecast for electricity purchase
Year
2017
Exploiting real-time process and energy price data
Panu Karhu, ABB’s technical lead on the project, commented, “Our solution exploits real-time process and energy price information, and includes ABB AbilityTM cpmPlus Energy Manager system, along with all the relevant project and implementation services.”
“The process includes a 500 m pulp tank between the RMP plant and board machines, which helps provide the flexibility to plan the RMP plant activity in an optimal way. This intermediate storage ensures that neither pulp nor paper production is interrupted or reduced, and in fact is also able to serve as a virtual battery, to be charged and discharged according to the electricity price.”
The system was installed on top of the existing EES and started up in December 2017. It visualizes results so the operators can then send the optimized set points to the RMP refiners, either manually or automatically. The solution enables rescheduling of electricity use to low-price periods whenever possible to reduce electricity costs. It also provides an accurate electricity consumption forecast, which may be used for more cost-efficient planning of overall energy use, production and purchase.
POWER CONSUMPTION FORECAST
Franz Fuchs, responsible for the automation department at MMK Frohnleiten mill, describes the power supplier situation: “We’ve been working with ABB since year 2000, when the power market was deregulated. Large power users like ourselves negotiated with suppliers to get the best price. At nine o’ clock every morning, we send our forecast for the day’s power needs, in specified 15-minute windows, to the supplier. Power needs vary, depending on the type and quantity of carton board we are making that day. Sometimes there are production alterations, and if we use more than we predicted, that extra power is more expensive, so the support we get from the ABB tool – getting the forecast correct is very important.”
Tapani Kalkela, ABB’s responsible for the administrative side of the project, sums up the success of the work: “The ABB solution has already allowed our customer to make significant savings in their electricity expenditure. I can see that the same principles will be applied to other mills in the pulp and paper industry and to other industries. Demand-side energy management really does open the door to important energy cost savings!”
Adding notes to automated reports
Looking ahead, additional functionality for this system will include a streamlined way to add notes to automated reports. This will be very helpful for MMK, as the company built a new biogas plant to provide power for this mill earlier this year, and would like to include the associated lab test data and gas volume statistics from the plant in the official production reports.
