Luca Garcia

EU-funded project (NextGenerationEU / PRR)

• · Storage Integration in the Commercial Sector

– Characterized energy consumption profiles of commercial cooling systems, building quantitative models from experimental data.

– Developed Python-based data processing workflows for system analysis and performance modelling.

– Contributed to a predictive optimization module for demand management in PCM-equipped cooling systems.

– Producing scientific reports on research activities under the supervision of Dr. Zenaida Mourão.

– X-Ray diffraction analysis of Materials with waste heat/refrigeration applications under the supervision of Dr. João Horta.

– Built automated Python pipelines (matplotlib, numpy, pandas) for high-throughput data processing, pattern recognition, and visualization, reducing manual analysis time and enabling consistent, repeatable profile classification.