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Integrated Systems Laboratory (LSI)

José M. Moya Service Catalogue

Systemic Efficiency Advisory · UPM

Operating digital infrastructure as an intelligent energy system

In a European context defined by regulatory pressure, energy volatility, and accelerating digital demand, competitive advantage no longer comes from optimizing isolated components. It comes from redesigning how data, cooling, and energy interact as one integrated system.

I work with operators, engineering firms, and institutional stakeholders to translate technical complexity into executive decisions and structured roadmaps with measurable energy and operational impact, from diagnosis to multi-site scale-up.

  • Operational observability with a unified semantic model
  • High-impact intelligent thermal control
  • Energy integration and structured transition

Systemic Efficiency Framework™:
Data-driven · Semantic · Federated · Predictive · Circular

Contact

Connected digital infrastructure network across Europe

What I do (in one sentence)

I design and implement operational frameworks that transform data centres into energy-optimised, measurable, and scalable systems.

Three pillars

  • Operational data architecture
    From fragmented datasets to an integrated IT-thermal-energy operational view with full traceability.
  • Thermal control and optimisation
    Less cooling energy, fewer hotspots, more stability and resilience.
  • Energy integration and transition
    Flexibility, heat reuse, and reporting grounded in technical evidence.

Systemic Efficiency Framework™

Data-driven · Semantic · Federated · Predictive · Circular

A proprietary methodological framework to transform digital infrastructure into energy-optimised, scalable and regulation-ready assets.

flowchart LR
  P1[**Data-driven**<br/>see and measure accurately] --> P2[**Semantic**<br/>understand and model]
  P2 --> P3[**Federated**<br/>coordinate and scale]
  P3 --> P4[**Predictive**<br/>anticipate and control]
  P4 --> P5[**Circular**<br/>integrate and reuse]
  • Data-driven: consistent telemetry, granularity, and data quality.
  • Semantic: operational model (taxonomy, topology, IT-MEP relationships).
  • Federated: standardisation and comparability across rooms and sites.
  • Predictive: anticipation and advanced control (where it adds real value).
  • Circular: integration with energy/water/heat systems and territorial context.

Services (results-oriented)

  • Technical-regulatory diagnosis and roadmap
    Real baseline, gaps, risks, and a prioritised action plan (quick wins + structural investment).
  • Cross-layer observability and data architecture
    Connect BMS/SCADA/IT/energy into a common model for analysis, operations, and reliable reporting.
  • Intelligent cooling control (high impact)
    Control redesign (adaptive PID and advanced optimisation when appropriate).
    Typical impact: 15-40% reduction in cooling energy consumption, along with fewer hotspots and improved thermal stability.
  • Energy integration and heat reuse
    Technical-economic feasibility and integration design (flexibility, storage, waste-heat valorisation).
  • Automated reporting and technical traceability
    Auditable pipeline: indicators and evidence from operational systems (without Excel as the “source of truth”).

Engagement models

  • Executive strategy session
    Alignment of objectives, context, and potential leverage points.
  • Structured diagnosis
    Actionable deliverable for leadership and operations.
  • Impact pilot
    Measurable impact within weeks plus a scale-up plan.
  • Multi-site transformation programme
    Standardisation, governance, and continuous improvement.

Contact

José M. Moya
jm.moya@upm.es
+34 626 188 197