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).

Branislav Iglár and Klaus Kubeczko during the presentation of the programme of work in Utrecht

Presentation of the Programme of Work for the Executive Committee of ISGAN

District type 1: Energie community in urban environment

The diagram shows the energy flows in distric type 1 (energy community in urban environment with the use of hydrogen technology).

District type 2: Energie community in rural environment

The diagram shows the energy flows in distric type 2 (energy community in rural environment with the use of hydrogen technology).

District type 3: Industrial area

The diagram shows the energy flows in distric type 3 (industrial area with the use of hydrogen technology).

PV Noise barrier

PV Noise barrier - Ulmerwave

SOLARSKYPARK Fast-E-Chargingpark for E-Mobility, Freistadt Upperaustria

PV Carport with E-charging and Energystorage • 176kW/597kWh Outdoorstorage by neoom • 11 Stk 300 kW E-Charging stations

IEA-PVPS Task 1 Expert Group in front of the Norwegian PV-Wafer production NorSun

The IEA-PVPS Task 1 Expert Group during the technical visit in front of the Nor Sun wafer factory building in Ardalstangen/Norway. Due to strong Chinese competition in PV wafer production, this plant had to be shut down in 2023; as part of the European Net Zero Industry Act, it should be possible to resume production.

Sonnenkraft _Campus

Sonnenkraft-Campus in St.Veit/Glan, Austria – PV-Facade with certified Kromatix Solar Glas - Photo credit: Sonnenkraft

Stand of the different baterry technologies.

This figure shows the development status of various technologies for rechargeable batteries in consumer electronics.

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.

Energy management protocols for smart devices

Energy management protocols carry information (in both directions) to command and control, e.g., increasing or decreasing device energy consumption, scheduling device operations, providing electricity price information, reporting operating states, etc.

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.

Distribution of the ion current density in the membrane of the aged cell, expressed as a percentage compared to the initial state. This provides a detailed insight into the current distribution within the cell.

False colour image of the ion current density across the flow field of the cell.

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).

Concept of surfactant-doped polyaniline coating for gas diffusion layers

PTFE-free hydrophobisation and improved electrical conductivity: Surface-active species consisting of non-polar, negatively charged terminal groups and apolar residues attach themselves to the positively charged PANI framework, which ensures electrical conductivity.

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.

Network connected devices

Schematic overview of network-connected devices and application areas.

Indoor installation of a fuel cell heating system

The illustration shows a typical indoor installation of a fuel cell heating system.

Inner structure of a fuel cell heating system

The illustrateion shows the inner structure and components of a fuel cell heating system.

Products and services for IoT heat pumps

Over 40 different examples of projects and products for IoT heat pumps were collected in IEA HPT Annex 56. A distinction can be made between 5 categories: Optimization of heat pump operation, Predictive maintenance, Provision of flexibility, Commissioning of heat pump systems and Heat as a service. An example can be assigned to more than one category. The examples are available at https://heatpumpingtechnologies.org/annex56/factsheets/.