Cases
Operational savings exceeding R$1 million per harvest
Operational savings exceed 1 million BRL per harvest
In large-scale operations, such as biomass plants, small inefficiencies multiply into massive financial losses. The challenge is optimizing resource usage (steam, energy, biomass) in real time without halting production or making invasive changes to the existing infrastructure.
The client needed to improve operational efficiency and reduce costs through better biomass utilization for boiler steam generation and enhanced energy cogeneration, all aligned with sustainability commitments with electric power distributors.
The operation was complex: multiple pieces of equipment, interdependent processes, and the need for continuous optimization without interruptions. The solution had to be flexible enough to adapt to any type of equipment and simple enough to be implemented without invasive retrofits.
The efficiency of the solution reduces operational costs and impacts Raízen's financial gains, given the better use of biomass for steam generation in boilers and improved energy cogeneration, which is tied to the company's commitments with power distribution utilities.
The implementation of artificial intelligence with physical and mathematical process modeling generated:
Greater stability
More precise process control, ensuring operational parameters remain within desired thresholds.
Rapid Response to Changes
The operation can adapt quickly to changing operating conditions, maximizing efficiency.
Resource Optimization
Real-time optimization helps utilize resources more efficiently, reducing waste and operational costs.
Improved Product Quality
With tighter control, it is possible to ensure product quality meets high standards, avoiding rejection and rework.
Operational savings exceeding 1 million BRL per harvest, driven by better biomass utilization, higher cogeneration efficiency, and reduced energy costs. The solution has been operating for over 3 years with proven results.
Arandu® — Autonomous AI control that uses artificial intelligence tools along with physical and mathematical modeling to optimize industrial processes in real time.