D4.2: DC Energy DR Prediction

This deliverable reports the work carried out in the direction of defining models for forecasting the electrical energy consumption, electrical and thermal energy production as well as the flexibility of a Data Centre (DC) considering different time frames and system level granularities. The time frames of the forecasting process are the day-ahead (i.e. 24 hours ahead with one-hour granularity), intra-day (i.e. 4 hours ahead with half an hour granularity) and near-real-time (i.e. 1 hour ahead) while as system level granularity we have considered the IT servers and server room sub-system, cooling sub-system, renewable energy generation sub-system, and the entire DC.

CATALYST.D4.2.TUC_.WP4_.v1.0

At a glance

  • No: 768739
  • Acronym: CATALYST
  • Title: Converting data centres in energy flexibility ecosystems
  • Starting date: October 1, 2017
  • Duration in months: 36
  • Call identifier: H2020-EE-2017-RIA-IA
  • Topic: EE-20-2017; Bringing to market more energy efficient and integrated data centres