Project Image Pool
There are 388 results.
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).
Information exchange before the visit of the fluidized bed unit
Information exchange before visiting the fluidized bed unit of heinzelpaper during the 14th Austrian IEA Fluidized Bed Meeting.
Copyright: TU Wien
DSM Interaction and acceptance model
This figure shows the DSM interaction and acceptance model developed within the project framework, the central trust-building interaction features as well as their changing relevance for the building of trust and acceptance depending on the automation level.
Copyright: AIT Austrian Institute of Technology GmbH
Project Overview
This diagram shows the topics that were considered in the context of the project "Social License to Automate". Furthermore, an overview of the methodology is given.
Copyright: AIT Austrian Institute of Technology GmbH
Challenging Fuels
Metal fraction sorted out from the fuel material of a circulating fluidized bed system. Metal residues and wood with nails are sorted out and not burned.
Copyright: IEA-FBC (Franz Winter)
Research output by population
In the diagram, the number of published articles per hundred thousand inhabitants was calculated for each country, making the contribution more visible regardless of the population size of the individual countries. In this evaluation, Austria ranks 7th. Only all articles including 2019 were used here.
Copyright: IEA-FBC (Franz Winter)
Digital Technologies to Increase the Energyefficiency in Electric Motor Systems
This figure gives an overview of the technologies that were identified as relevant for energy efficiency in electric motor systems in several workshops, in the survey and interviews. Starting on the left-hand side, technologies listed are smart sensors, advanced control on the level of machines and the Internet of things enabling communication between the different levels and components (in dark blue). Furthermore, the next level is the use of possibilities to analyse data and optimize operation (in green): data analytics on both the level of motor systems and on the level of production lines or even the whole company. Continuous monitoring of the different appliances is also significant. Technologies adding advantages to these applications (in grey) are digital twins, cloud-based services and artificial intelligence. Augmented reality can help to implement the suggested measures. Three technologies that are not directly related to the optimization of motor driven systems, but are of further interest include drones, 3D printing and advanced robotics.
Copyright: Österreichische Energieagentur, impact energy
Digital Technologies to Increase the Energyefficiency in Electric Motor Systems
The figure gives an overview of the technologies that were identified as relevant for energy efficiency in electric motor systems in several workshops, in the survey and interviews. Starting on the left-hand side of this picture technologies listed are smart sensors, advanced control on the level of machines and the Internet of things enabling communication between the different levels and components (in dark blue). Furthermore, the next level is the use of possibilities to analyse data and optimize operation (in green): data analytics on both the level of motor systems and on the level of production lines or even the whole company. Continuous monitoring of the different appliances is also significant. Technologies adding advantages to these applications (in grey) are digital twins, cloud-based services and artificial intelligence. Augmented reality can help to implement the suggested measures. Three technologies that are not directly related to the optimization of motor driven systems, but are of further interest include drones, 3D printing and advanced robotics (in dark blue at the right side of Figure 1). Starting on the left-hand side in Figure 1, technologies listed are smart sensors, advanced control on the level of machines and the Internet of things enabling communication between the different levels and components (in dark blue). Furthermore, the next level is the use of possibilities to analyse data and optimize operation (in green): data analytics on both the level of motor systems and on the level of production lines or even the whole company. Continuous monitoring of the different appliances is also significant. Technologies adding advantages to these applications (in grey) are digital twins, cloud-based services and artificial intelligence. Augmented reality can help to implement the suggested measures. Three technologies that are not directly related to the optimization of motor driven systems, but are of further interest include drones, 3D printing and advanced robotics (in dark blue at the right side of Figure 1).
Copyright: Österreichische Energieagentur, impact energy
Important instruments to overcome barriers to using digital production technologies
Around three quarters of the respondents consider the development of education programmes and the standardisation process to harmonise protocols, as well as subsidies for research as important policy instruments to overcome these barriers.
Copyright: Österreichische Energieagentur
Options for detecting pump and motor malfunctions through current and voltage analysis
This diagram shows the cross-section of a radial pump on the left. This is connected via an axle to a coupling with the cross-section of an electric motor. This motor has a connection to a rectangle labeled FU for frequency converter, the thicker connection splits into three lines just before it, representing three phases. Three differently colored lines are drawn on these lines with small circles, which represent the three-phase current and voltage measurement and lead to a small upright rectangle. On the far right of the pump is a field with text that points to the pump cross-section with an arrow. The text states the following: An increase in the noise level around the supply frequency is typical of pump cavitation. Another field points to the coupling between pump and motor, a small rectangle as a connection between pump and motor axis. The text reads: An increase in the rotation frequency of the motor and its harmonics as well as an increase in the noise level are typical of a coupling fault. Another field points to the point where the motor axle comes out of the motor housing, where a bearing is marked. The text in this field reads: An increase in the cage frequency of the rolling bearing is typical of bearing wear. The text fields mentioned so far are highlighted in blue. This color indicates mechanical faults. Another field with a red background indicates the inside of the electric motor. The text reads: Short circuits in the stator winding typically show an increase in odd current harmonics. The red color indicates an electrical fault.
Copyright: Österreichische Energieagentur
Composite Curves for an Example Case
The figure shows Composite Curves from Pinch Analysis for an Example Case that was evaluated within the project.
Copyright: Austrian Institute of Technology GmbH
Steam boiler and Heat Pump
The figure shows energy flows in a system consisting of a steam generator and a heat pump for process steam and hot water supply.
Copyright: Austrian Institute of Technology GmbH
Qualitative effects of varying the scenario assumptions on selected scenario results
The figure shows the qualitative effects of varying the scenario assumptions on selected scenario results in a table. The quantitative description of the figure can be found in the report in Section 5.4.3 in Table 20.
Copyright: Martin Baumann/Österreichische Energieagentur
Change in gross domestic consumption in 2040 in the scenario variants
The figure shows the change in gross domestic consumption of the individual energy sources in 2040 due to the variation in scenario assumptions. The quantitative description of the figure can be found in the report in Section 5.4.2 in the text for Figure 15.
Copyright: Martin Baumann/Österreichische Energieagentur
Gross domestic consumption in the reference scenario
The figure shows the gross domestic consumption of the individual energy sources in 2021, 2030 and 2040 in the Reference scenario. The quantitative description of the figure can be found in the report in section 5.4.1 in the text for Figure 9.
Copyright: Martin Baumann/Österreichische Energieagentur
Integration of PECTA within the 4E technology program
Since March 2019, the 4E Technology Program consists of 4 different Annexes: EMSA (Electric Motor Systems Annex), SSL (Solid State Lighting Annex), EDNA (Electronic Devices & Networks Annex) and PECTA (Power Electronic Conversion Technology Annex).
Copyright: 4E PECTA
Structure of PECTA during Phase 1
In the course of PECTA's Phase 1, two tasks were processed. Task 1: Efficiency Potential in Applications. Task 2: Roadmaps for Power Devices. The position of the Operating Agent was filled by Austria. Task 1 and Task 2 were carried out with participation from Austria, Sweden and Switzerland. The Industry Advisory Group is coordinated by Switzerland.