IoT-iBMS: IoT based intelligent management of HVAC

The project develops "IoT-iBMS" - an IoT based solution for intelligent control and monitoring of HVAC installations in existing and new office buildings. The flexible IoT-based intelligent control ensures energy savings and optimum utilization of the potential for energy flexibility, thereby becoming an up-front alternative to traditional CTS systems.

The project has developed a new technological for Building Management Systems. Instead of traditional CTS systems or traditional Building Management Systems, a flexible IoT solution is developed to control components in a full climate solution.

Project description

In line with the digital development, requirements for HVAC performance, management options, functions and operations are increased. New management concepts based on big data  are gaining weight: Predictive Control (Model Predictive Control, MPC - by Weather Forecast, Expected Use, Dynamic Tariffs), Predictive Maintenance and Diagnostics (Real-time Function Monitoring), Remote Control and Remote Diagnostics, and Demand based Indoor Climate Management. In addition, the focus of green energy and indoor climate is expanding to cover further building functions included in "Smart Building".

Traditional Building Management Systems (BMS) are challenged by this development. Flexible intelligent IoT based management is expected to take over a growing part of the market for traditional CTS systems.

Results

The developed concepts, read as a new climate control solution, are tested in full scale in 4 meeting rooms.

The project has developed “IoT-iBMS” – an IoT based solution for intelligent control and monitoring of climate in rooms. Data for ventilation and energy are send to the cloud, and users and maintenance responsible can from a pc or phone on-line follow the ventilation and climate. Besides that, the weather forecast is automatic locked and schedule for next meeting including number of meeting participants are incorporated in the control.

Knowledge about time for start of meeting and number of expected meeting participants together with knowledge about weather forecast, gives intelligent control of heating and ventilations of the meeting rooms, including time for start of air condition.

In the municipality, where the case building is located, the energy prices are increased in the period from 5pm to 8pm, and in this period the ventilation and heating system can be stopped completely, unless the room(s) are booked. Maintenance of night setback temperature can in the future be dependent of on-line price signals from the energy supplier (energy flexibility). The hypothesis that energy can be saved by increasing the use of data is exemplified. With increased focus of the use of the individually meeting rooms and intelligent booking of these, further savings can be made. The saving is 40% for electricity.

The project is co-founded by the Elforsk program with project number 351-033, and conducted by the participants listed below: Klemen Rupnik Lindab A/S Anders Vorre Lindab A/S Peter Svendsen Lindab A/S Göran Hultmark Lindab A/S Martin Hansen DEAS A/S Claus Klint IBM Danmark Aps Danny Olsen Teknologisk Institut Merete Lyngbye (Project responsible) Teknologisk Institut.

Key figures

Period:
2019 - 2021
Funding year:
2019
Own financial contribution:
1.23 mio. DKK
Grant:
1.23 mio. DKK
Funding rate:
50 %
Project budget:
2.45 mio. DKK

Category

Oprindelig title
IoT baseret intelligent tilstandskontrol og styring af HVAC
Programme
ELFORSK
Technology
Energy efficiency
Project type
Forskning
Case no.
351-033

Participants

Teknologisk Institut (Main Responsible)
Partners and economy
Partner Subsidy Auto financing
Lindab A/S
IBM Danmark ApS
DEAS

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