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  • Report
  • Heating and Cooling

Industry collaboration for advanced analysis of heat distribution and heating needs

| 2022:867 | Filip Wästberg, Maria Hansson, Rikard Edland
The goal of the project has been to increase the analytical ability in the district heating sector. Also, how more efficient and faster cycles to develop methods whithin advanced data analytics, machine learning and artificial intelligence can be established. The project has both responded to various analytical challenges from the industry and also investigated how the industry can collaborate within digital innovation.
Bild 2022 850

Within the project, a taxonomy for labeling data has been developed. The taxonomy creates an homogenization in the industry which makes it easier to manage big data sets and train algoritms.

Data has been collected from district heating companies, primarily from the analysis application K2 to a common data platform connected to a data science portal.

Publications and reports

Here you will find reports and fact sheets from the program.

    • Report

    Effects of mechanical loads on ageing of prefabricated district heating pipes

    The project has investigated how today’s district heating networks can continue to be used over a long period by identifying when and where pipes need to be replaced, in order to avoid unnecessary reinvestments and environmental impact.

    |2025:1141Jan Henrik Sällström RISE, Ignazy Jakubowicz RISE, Nazdaneh Yarahmadi RISE
    2025-1140
    • Report

    Liftetime Predictions and Status Assessments 2022-872

    The project has focused on district heating pipes built up of steel service pipes, polyurethane insulation (PUR) and polyethylene casing. The project had two main objectives: A field method should be developed to measure the status of district heating pipelines regarding shear strength and an interna­tionally accepted methodology for service life prediction with respect to lost adhesion would be presented.

    |2022:872Ignacy Jakubowicz, Jan Henrik Sällström, Alberto Vega, Nazdaneh Yarahmadi
    Bild 2022 872
    • Report

    Industry collaboration for advanced analysis of heat 2022-867

    The goal of the project has been to increase the analytical ability in the district heating sector. Also, how more efficient and faster cycles to develop methods whithin advanced data analytics, machine learning and artificial intelligence can be established. The project has both responded to various analytical challenges from the industry and also investigated how the industry can collaborate within digital innovation.

    |2022:867Filip Wästberg, Maria Hansson, Rikard Edland
    Bild 2022 850
    • Report

    Virtual Heating Plants 2021-816

    Data centers can replace existing heating plants in a district heating system if the right cooling technology is used and IT hardware can achieve the same power intensity. A testbed has been created to support the technological development of liquid-cooled data centers. The goal is to be able to create excess heat that does not need heat pumps to be used in a district heating network.

    |2021:816Erik Lundmark, Mattias Vesterlund
    Bild 2021 816