by spiro | Sep 23, 2024 | Blog, Spiro-AI
The real world is complex, and as engineers, we face that reality daily. From noisy sensors to fluctuating feed quality and unpredictable disturbances, we’ve all been there. And sometimes, control systems make decisions that don’t quite add up at first glance. The...
by spiro | Sep 21, 2024 | Blog, Spiro-DigitalTwin
Digital Twin Case Study on UK...
by spiro | Sep 21, 2024 | Blog, Spiro-DigitalTwin
In refining and petrochemical industries, optimizing production processes is critical to improving product yields and minimizing operational costs. Digital twins, virtual representations of physical processes linked to real-time data, enable continuous optimization...
by spiro | Sep 21, 2024 | Blog, Spiro-DigitalTwin
As control engineers, we’re accustomed to seeing processes through the lens of inputs and outputs. We design our control schemes around this structure and build models accordingly. But what happens when the control scheme changes? Suddenly, we find ourselves...
by spiro | Sep 16, 2024 | Blog, Spiro-DigitalTwin
A digital twin is a real-time virtual model of a physical system that continuously collects data to simulate and optimize operations. This white paper explores how digital twins can be effectively applied to the energy value chain, addressing key challenges such as...
by spiro | Feb 27, 2023 | Blog, Spiro-MPC
Advanced Process Control (APC) in the form of linear model predictive control (MPC) has existed for more than 40 years. In that time the core algorithms have remained largely unchanged although user interface and model development tools have evolved significantly. By...
