Cost- and Energy-Efficient Control Systems for Buildings

This project exploits high resolution data gathered in KTH Live-in Lab research testbeds through an advanced, modular and flexible monitoring set-up capable to acquire real-time data on indoor environmental quality and the involved energy flows including ground source heat pumps, photovoltaic panels, ventilation. It will provide an assessment of the inefficient energy use of common faulty systems and guidelines for cost-optimal design and for implementation of building monitoring and control systems.


Methods and demonstrations to move towards intelligent and smart buildings are needed. Monitoring data is currently collected without exploiting the inner potential for innovative solutions. This is typically due to, among other reasons, the lack of efficient and dedicated sensor network design and data structures.

Recommendations for a cost efficient implementation of monitoring and control systems depending on the building and the energy supply system characteristics are strongly necessary but not yet available as common practice.

Both new and existing buildings are lacking comprehensive guidelines and demonstrations about the impact on the energy use of faulty settings. Consequently, the opportunities for enabling the energy saving potential of ICT solutions are still locked and the system maintenance is also negatively affected.

Project description

Databases of high resolution and high quality data can lead to new valuable insights and the creation of new opportunities. Research test-beds offer unique resources to develop and test smart monitoring and control solutions that have a valuable impact on increasing the energy efficiency in the built environment.

This project exploits the high resolution real-time data gathered in the KTH Live-in Lab research test-bed through an advanced sensor and data infrastructure in order to evaluate the cost-effectiveness of smart buildings. As a result, the operative definition of smart building will be enabled. Sensor measurements are used to identify common faulty settings in buildings ventilation and heating systems, estimating their impact on the energy use. Particular attention is dedicated to the user experience, the impact of the users on the energy use and visualization techniques to promote energy efficient behaviors.


Three building facilities are used as implementation and prototypes: the KTH Live-In Lab Testbed KTH, the Undervisning Hus and the neighborhood of Uppsala Backe. The first round of data analysis is carried out in the Testbed KTH and Undervisning Hus; this helps identifying the room for improvement in both buildings and has supported the design of the ICT infrastructure in Botrygg’s Uppsala Backe.

Aim and objectives

  • Assess the quality of data from advanced monitoring systems;

  • Enhance existing features and improve the exploitation potential of existing databases;

  • Detect and identify the most common faulty settings in the heating and ventilation that are causing the systems to underperform and estimate the related energy waste;

  • Test and implement of advanced and self-tuning control strategies;

  • Showcase the feasibility and cost-effectiveness of ICT solutions to increase the efficient energy use in buildings and improve comfort.


The Project aims at demonstrating cost effective solutions able to increase the system energy efficiency. The outcomes of the Project will contribute to the reduction of the primary energy use in building sector and to reduce the greenhouse emission. The Project will also increase the level of competitiveness for the Swedish building sector towards the challenge of sustainable and low energy buildings.


”Kostnads- och energieffektiva styrsystem i byggnader” Kyla och Värme, October 2019 (submitted)


Project Managers



Department of Energy Technology

Project partners

Botrygg, Akademiska Hus, Tovenco

Research areas

Smart buildings, Advanced Controls for Buildings, Fault Detection, Monitoring data, Data Analysis.

Project duration

3 years


This project is financed by the Swedish Energy Agency (Energimyndigheten) under the E2B2 program.

Belongs to: KTH Live-In Lab
Last changed: Jun 16, 2020