Master-Arbeit Maxim Rossknecht

Concept and Evaluation of heating demand prediction based on 3D city models and the Energy ADE – case study Helsinki

Master Thesis, Photogrammetry and Geoinformatics, SS 2020

The City of Helsinki aims to be carbon neutral by 2035. As the heating of buildings causes the greatest portion of greenhouse gas emission in Helsinki, more energy-efficient buildings may be the key to achieving this goal (City of Helsinki, “Carbon-neutral Helsinki 2035 – Summary”). In this work, the developed concept enables the simulation and further prediction of the heating demand and resulting CO2 emissions based on a 3D city model in various scenarios under the consideration of a changing climate. The Helsinki 3D city model in CityGML format provides, together with the Helsinki Energy and Climate Atlas, detailed information about individual buildings (e.g. areas of different uses, refurbishments, or heating systems). To utilize the information during the simulation, it is integrated into the 3D city model using the Energy Application Domain Extension (Energy ADE) for CityGML. The aim of the Energy ADE is to provide energy-relevant information together with the 3D city model based on a standardized data model. The enriched city model is stored in a database for 3D city models, called 3DCityDB. The simulation environment SimStadt is extended to retrieve the information stored with the Energy ADE, use the information during simulations, and write the simulated results back to the 3DCityDB. Due to the climate change, a heating demand reduction of 4% per decade is predicted. By 2035, a reduction of 0.7 TWh is calculated in the normal and of 1.5 TWh in the advanced refurbishment scenario. Including the proposed improvements of the district heating network in Helsinki, CO2 emissions caused by heating are predicted to be reduced by up to 82% by 2035 compared to 1990.

To cite this work, please reference the related journal publication:

Rossknecht, M.; Airaksinen, E. Concept and Evaluation of Heating Demand Prediction Based on 3D City Models and the CityGML Energy ADE—Case Study Helsinki. ISPRS Int. J. Geo-Inf.20209, 602. https://doi.org/10.3390/ijgi9100602

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Web-based Visualization of the Heating Demand of Helsinki based on a simulation and prediction results using SimStadt.
Web-based Visualization of the Heating Demand of Helsinki based on a simulation and prediction results using SimStadt.