Building on its extensive in-the-field experience of managing power generation plants, and after having resolved many of our customers’ issues, the creator of the GENERA application, MIPU, designed the first of our efficiency-enhancing software platforms: just a few screens that summarise the data needed to manage power and heat production plants correctly.

GENERA was initially an evolution of Scada, a system control and monitoring software. Today, it’s an indispensable tool for managing cogeneration and district heating plants. However, it also has enormous potential when applied to mixed-generation (i.e from renewable to conventional fuels) and multi-site plants.

By using the IoT (Internet of Things) and, therefore, sensors installed in the field, GENERA provides users with a comprehensive overview – all on a single screen – so they can check their power plants are running properly, ensuring they comply with regulatory standards.

OPTIMA is an optimisation system based on data harvested by the GENERA application: data that’s crucial for analysis and decision-making. It combines AI models with IoT systems and uses an optimizer to save fuel and reduce CO2 emissions. To improve its performance and keep on growing with the customer, it requires ‘constant daily training’.

Energy producers who already have the GENERA application can implement OPTIMA with the aid of AI. Those set to benefit the most from the GENERA + OPTIMA combination are companies with high energy consumption and variable loads over time; users will always be able to count on room for improvement.

Costs remaining equal, OPTIMA maximises energy production, guaranteeing user requirements. The system focuses on plant management and optimisation, savings and higher productivity: it aims to maximise economic returns. The solution is scalable but expresses its greatest potential in energy-intensive contexts. The result is a faster return on investment, making the solution of immediate interest. Normally the ROI period is between 9 and 15 months, defined via pre-operations assessment.

Since efficiency is a keystone of the predictive factory, FABRIKA processes data to learn what will happen in the near future. This allows users to set up all their resources in the best way possible so they can predict and intercept malfunctions, errors and waste.

Prediction dovetails with efficiency because it lets you interact with and improve the present, bringing about the conditions that allow you to make your processes and factories more efficient.

Whether we’re dealing with a purifier, in which the goal is to achieve energy and water efficiency to predict pollutant emissions through predictive logic, or analysing a production process within a manufacturing plant to improve the maintenance logic, the FABRIKA application lets us take a partnership-based, responsibility-sharing approach to supporting customers.

FABRIKA is a tool that raises process, consumption and maintenance efficiency. It optimizes resource management, prevents short-term waste and, by rationalizing the company’s production processes, boosts long-term economic performance.