OptimCPD

Descripció del projecte

The OptimCPD project promotes digital transformation in the management of data processing centers through an intelligent solution aimed at improving the energy efficiency and water sustainability of their cooling systems in an integrated way. Based on an advanced cyberphysical architecture, the proposal combines distributed sensing, real-time data analytics and machine learning models to create an environment capable of interpreting the thermal and operational behavior of the data center in a continuous and adaptive way.

The digital platform acts as the system’s decision-making core, correlating electrical, hydraulic, and environmental variables to generate automatic actions that optimize overall performance. This integration makes it possible to dynamically adjust the operating parameters of cooling systems and equipment according to actual demand, reducing unnecessary consumption in partial load situations and anticipating deviations that can lead to inefficiencies or operational incidents.

One of the differential axes of the project is its ability to interoperate with existing infrastructures, facilitating the connection with industrial management and control systems through open standards and semantic mechanisms that ensure fluid communication between platforms. The objective is that this modular and scalable vision allows the solution to be replicated in different types of data centers and adapted to different climatic and operational contexts.

The proposal incorporates cybersecurity as a cross-cutting principle by design, guaranteeing data protection, process integrity and continuity of service in environments considered critical infrastructures. In this way, OptimCPD not only promotes a more efficient management of resources, but also reinforces the digital and environmental resilience of DPCs in the face of the growth challenges of the digital world, the future context of water scarcity and energy efficiency requirements.