Project Image Pool
There are 185 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).
Graphical representation of the assessment across a range of different storage technologies
Comparison of various parameters (storage capacity, TRL, efficiency, cost, safety and commercial availability) for the storage technologies under consideration. These include liquid hydrogen, compressed hydrogen, organic hydrogen carriers, metal hydrides, ammonia, but also redox flow and lithium-based battery systems, pumped storage and chemical looping hydrogen (HyLoop).
Copyright: CEET/TU Graz
Participants of the Annex Meeting of 16 May 2017
The meeting on Annex 31 was held on 16 May in the rooms of the Institute of Chemical Engineering and Environmental Technology. Hideo Inoue, Alexander Dyck and Werner Lehnert gave technical presentations on the research activities at their respective facilities.
Copyright: TU Graz
Reactor system for hydrogen production
Schematic depiction of the high pressure fixed bed reactor system for the production of compressed ultra-pure hydrogen (left); photo of the reactor system (right).
Copyright: TU Graz
Stand of the different baterry technologies.
This figure shows the development status of various technologies for rechargeable batteries in consumer electronics.
Copyright: 4E EDNA
Potential energy savings from measures for Data Centres.
The graphic shows the estimated energy savings per year until 2030, for a range of possible measures to improve the efficiency of Data centres, according to modeling conducted by EDNA in 2024.
Copyright: 4E EDNA
IEA 4E EDNA Activities of the workstream opn energy effi ciency of data centres
This figure shows the diff erent activities that contribute to the workstream on energy effi ciency of data centres.
Copyright: 4E EDNA
Global Energy Consumption of network connected devices 2010-2030
The figure shows a graph with the annual energy consumption of network-connected devices in different operating modes - network active and network standby - as well as with the upstream energy consumption of networks and data centers. By 2030, the total global energy consumption of network-connected devices will increase to about 1,000 TWh/yr. Device-related energy consumption in particular will increase significantly, whereas upstream energy consumption will decrease somewhat and account for about one-third of the energy consumption associated with network-connected devices. These and other graphs on the energy consumption of network-connected devices can be quantified using the EDNA Total Energy Model.
Copyright: EDNA, 2020
Network connected devices
Schematic overview of network-connected devices and application areas.
Copyright: EDNA, 2020
New image of EDNA´s website
New EDNA platform website with a range of residential connected devices, which are in the focus of EDNA´s work.
Copyright: 4E EDNA
E-truck on country road
Electric Truck Prototype (26 to) during overland field test at Austrian Logistics company, member of Council of Sustainable Logistics.
Copyright: CNL/EVN/Vouillarmet 2021
TCO of the various drive technologies compared
Total cost of ownership (TCO) of Diesel, electric and FCEV trucks under different energy price assumptions. Use case: Retail in one-shift operation.
Copyright: CNL (2022)
AMF Task 63: Workshop Panel
Panel discussion with Dina Bacovsky, Holger Friehmelt, Barbara Achleitner, Anna Pachinger and Kay Kratky
Copyright: Doris Matschegg
AMF Task 63: Development of SAF in Austria
Scenario regarding the development of SAF in Austria until 2050
Copyright: Doris Matschegg
Stakeholders contributing and benefiting from the innovations in the ISGAN Casebook
The chart compares the stakeholders who contributed to the case studies in the ISGAN Casebook on planning smart distribution grids with those who benefited from them.
Copyright: Susanne Windischberger
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
Business models
This figure gives an overview of the business models that were considered in the context of the project on various issues related to Demand Side Management (DSM). A more detailed description of the individual models can be found in the final report.
Copyright: AIT Austrian Institute of Technology GmbH
Policy Brief 2024
Policy Brief: presentation at CEM15/MI-9
Copyright: Helena Lindquist
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
Word cloud Annex 15 Projects
The figure shows a word cloud with the most common words occuring in the project descriptions of Annex 15 partners.
Copyright: Austrian Institute of Technology GmbH
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.
