Project-Imagepool

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Terms of use: The pictures on this site originate from the projects in the frame of the programmes City of Tomorrow, Building of Tomorrow and the IEA Research Cooperation. They may be used credited for non-commercial purposes under the Creative Commons License Attribution-NonCommercial (CC BY-NC).

Superordinate structure of the energy hub

Proposed structure of the interaction between individual building control units and the controller of the energy hub. The controllers used are predictive, optimizing controllers (e.g. model predictive controllers, MPC).

Load shifting potential with EMS

Continuous lines for the first quarter (heating demand) with component activation. With EMS (right), higher outputs are in principle demanded less frequently. Since all power above the maximum power of the heat pump has to be provided by the more expensive district heating, costs can be reduced. The blue area above the heating demand curve represents waste heat from the heat pump, since cooling demand also occurs in the first quarter, which must be provided by the heat pump / chiller.

Simulation: failure of the heating circuit pump

Comparison of a standard control and an EMS that is informed of an impending failure of the heating circuit pump. The EMS preheats accordingly to prevent undercooling. Conversely, however, the comfort limits are sometimes exceeded in the other direction, i.e. a slight overheating, because the time constants are correspondingly long.

Biotope City Wienerberg Image 4

Creation of diverse habitats for animals through deadwood and rock piles

Biotope City Wienerberg Image 5

Overview and urban planning situation of the Biotope City Wienerberg

Biotope City Wienerberg Image 1

Gardens in the Biotope City Wienerberg

Biotope City Wienerberg Image 3

Gödelgasse as a central public space in the Biotope City Wienerberg with green facades and rainwater management measures to make water available to plants.

GHG emissions of a Viennese residential building, broken down by energy source and means of transport.

The GHG emissions of a construction site are illustrated using a fictitious construction site of a Viennese residential building with almost 200 apartments and a gross floor area of 17,000 m². All transport emissions are caused by diesel-powered trucks. The 23 % of the emissions attributable to the construction site activities are divided into about 9 %-points energy carrier diesel and about 14 %-points energy carrier electricity. The calculation values are to be understood as project-specific potentials and have no general validity. Translated with www.DeepL.com/Translator (free version)

Scenario 2023 for the reduction of GHG emissions for the sample housing construction site in Vienna.

The figure shows the evaluation of a realistic scenario 2023 of the fictitious residential construction site according to the steps to reduce GHG emissions. GHG emissions are reduced by 38 % in the first step "organizational measures". These consist of 36 % points reduction in transport distances and 2 % points savings in processes on the construction site. A further around 5% is saved in the "technological developments" step. GHG emissions are reduced by an additional 5% through "on-site renewable energy (electricity) generation." The remaining electricity demand is covered by UZ46 "Green" electricity. In total, these action steps add up to 48% of the original (ACTUAL) emissions. For these remaining approximately 333 t CO2-eq, at a price of 25 EUR / t CO2-eq, approximately 8,325 EUR would have to be paid in compensation in order to achieve the goal of the "CO2 neutral construction site". The calculation values are to be understood as project-specific potentials and have no general validity. Translated with www.DeepL.com/Translator (free version)

Overview of drive forms for light equipment

Overview of drive forms for light equipment Emissions caused by building machines can be reduced by CO2-neutral drive systems or renewable fuels. The energy source for obtaining or producing renewable fuels can come from (natural) renewable energy sources, for example by generating electricity from wind, solar radiation or hydropower, or can be obtained directly from biomass. These biomass-derived bio-fuels power internal combustion engines. Some of them can be used directly in conventional combustion engines - in this case, diesel engines. Others, for example ethanol, require a dedicated or modified engine. The CO2 savings for bio-fuels range from 80 to 90% in the literature. Sustainably generated electricity can be used to power vehicles or machines with electric drives, either directly via cables or with rechargeable batteries. The other renewable fuel option is hydrocarbons or hydrogen (H2) produced with electrical energy. These processes are grouped under "Power to X". Translated with www.DeepL.com/Translator (free version)

Steps to reduce GHG emissions on construction sites

A number of steps are needed to achieve substantial GHG emission reductions on construction sites. The term "reduction" is used when GHG emissions are reduced by avoiding (energy) demand and consumption on the one hand and by shifting (energy) input from non-renewable energy to renewable energy on the other. The steps to reduce GHG emissions on construction sites are defined in a step-by-step plan. Energy consumption is reduced in the first steps through organisational measures and technological developments. The shift in energy generation can be achieved by generating renewable energy directly on the construction site or by purchasing it. The final step to achieve the goal CO2 neutral construction sites is the CO2-Compenstion. Translated with www.DeepL.com/Translator (free version)

AR model user view

The figure shows the overlay of the BIM model with reality.

Change Detection

The images graphically show the deviations between the BIM model and reality.

Interaction menu

The figure shows the interaction menu of the AR inspection tool.

Overlay of the TGA model

The figure shows the superimposition of the AR model with reality from the perspective of the AR user.

WebGL visualisation of collected building data via the Gamification App

Data, collected by our mobile game (gamification), can be interactively mapped to 3D BIM model and visualized.

Point Cloud of the Use Case

The project figure 1 shows the point cloud of the use case at Aspanggründe, which was generated through laserscanning.

Visualization of the planning parameters as well as their components in the NaNu3 model.

The figure shows the choices for various roof systems and combinations and the associated component options.

Graphical comparison of two different flat roof use cases.

The graphic shows two different use scenarios, their performance and the precipitation potential as well as the monthly precipitation amounts and irrigation requirements. They differ in graywater treatment (left) and walkable roof terrace (right). The left scenario shows a significantly better performance in most KPI categories.

Concept of NaNu3 framework, selected roof elements, and performance indicator groups.

The figure shows the concept on the framework, the selected roof elements and the performance indicator groups.