Building level intelligence


When electrification displaces the usage of fossil fuels and the share of wind, solar and nuclear power increases, CO2 emissions from power generation and consumption are expected to decrease – however – the need for and value of flexible consumption is expected to increase. Various heat pumps, HVAC-systems, e-vehicles and other controllable loads and local distributed resources such as photovoltaic systems and energy storages, together with local energy networks (E+H+C) and interacting ICT-solutions, compose a complex system, which is capable to improve energy efficiency and flexibility of a building. However, the complexities presented by lack of data, various automation systems and critical services must be overcome.


Carry out energy audits and link experts, data streams and systems in order to find ways to improve energy efficiency and flexibility at the building level in the Otaniemi area.

Locate subsystems in target buildings which could be monitored and controlled intelligently taking mutual interactions and external information into account.

Support piloting of new energy efficiency and flexibility measures and technologies at suitable locations and assess feasibility and impacts (and create investment proposals).

Facilitate access to the market also for small flexible loads as part of a larger entities (pooling).

Understand the needs and border conditions of energy users by means of surveys, sensors and feedback-systems.


Energy efficiency and flexibility mappings have been implemented and documented regarding two buildings. First subsystems (PV-units, Fingrid’s open data -service) have been integrated into the oBIX research platform (ongoing work: BAS, chiller unit, PV-hybrid, EV-charger, power monitoring system). Electricity measurements of subsystems do not typically support flexibility assessments: There is a clear need to add online/real-time measurements. Frequency Containment Reserves FCR-N threshold 0,1 MW seem to be too high (pooling is needed, big controllable loads (in practice) are very rare in this kind of buildings.

Read more on the pilot here and check the pilot poster here.

Pilot partners

Aalto University Department of Electrical Engineering and Automation
Aalto University Campus & Real Estate (ACRE)





Mikko Hongisto
Senior Scientist, VTT
+358 40 720 1250