Project Image Pool

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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).

Overview demand response types

Combining the two action and control types there can be four different demand response types: 1) Direct Automated (e.g. action and control types are characterised by high reliability; 2) Indirect Automated (e.g. model predictive control in the building reacting to the DHC broadcasted signal), action and control types are characterised by low & high reliability, respectively; 3) Direct Manual (e.g. DHC operator vising the house or sitting in the control room and pressing the button), action and control types are characterised by high & low reliability, respectively; 4) Indirect Manual (e.g. end users changing the settings physically of via using the remote technology (walking in the house, sitting on the sofa and using app) as the reaction to the broadcasted signal), action and control types are characterised by low reliability.

Joint workshop IEA EBC Annex 84 & IEA ES Task 43 („Standardized Use of Building Mass as Storage for Renewables and Grid Flexibility“)

Joint workshop IEA EBC Annex 84 & IEA ES Task 43 („Standardized Use of Building Mass as Storage for Renewables and Grid Flexibility“)

Terminology used for demand response within the framework of IEA EBC Annex 84

EBC Annex 84 distinguished between different "action types" and "control types".

Combined building and plant simulation in real time

In a dynamic building simulation, the zones (rooms) are in contact with their surroundings and with the adjacent building components, the people, equipment and objects located in them. In the combined building and plant simulation, the dynamic interaction between building, plant and control is also taken into account. A building and plant simulation, adapted in real time to the actual weather conditions and current measurement data from the building, can help to optimize the control of the building services and thus reduce energy costs and increase user comfort.

Two Austrian demonstration building digital twin

In recent years, AEE INTEC has completed two projects for the development and initial implementation of a digital twin on real buildings in Austria. This digital twin is a detailed simulation model using IDA ICE software, which is compared in real time with measurement data from a real building. This creates a model that represents the real condition of the building and its building services at any given time. This model can then be used for automated fault detection or to optimize control systems. The aim is to reduce energy consumption and improve user comfort.

Annex 81 Policy Package

Graphic representation of the policy package of measures developed in Annex 81 to promote Data-Driven Smart Buildings.

Final event of the project E_PROFIL at Ars Electronica Center - team

Panel discussion on "energetic transformations in urban quarters" - E_PROFIL

Within the final event of the project E_PROFIL at Ars Electronica Deep Space. Left to right: Claudia Dankl (ÖGUT. Moderation), Johannes Pointner (Enerquent), Sonja Pitscheider (City of Innsbruck), Gunter Amesberger (Planning Director, City of Linz).

Share of multi-flat buildings and multi-storey housing in buildings with flats - Linz central region

Own illustration by SRF/TU Wien, 2017, based on Statistics Austria's "Gebäude- und Wohnungszählung" 2011.

Energetic management of urban quarters - ideal-typical process

more here: http://www.eprofil.at/res/booklet.pdf

SIRFN-AIT Workshops "Grid-forming converters - testing and validation challenges" - March 2024

International SIRFN experts and participants of the SIRFN-AIT Workshops "Grid-forming converters - testing and validation challenges" visiting the laboratory showcase at the AIT MicroGrid Labor in March 2024.

Validation environment for the SVP EN 50549-10 test scripts at AIT

Illustration of the test setup at AIT that was used to validate the test scripts that were developed within the SIRFN. The setup consists of a real-time simulation system that is connected to the controller board of the AIT Smart grid Converter.

Organisation of the SIRFN network and technical topics in the project period 2021-2023

Overview of the organisation of the SIRFN network: The work programme for Annex 5 approved by the ISGAN Executive Committee (ExCo), the decision-making body within ISGAN, is divided into two sections, one dealing with the dissemination and exchange of knowledge and the other with the implementation of concrete projects for the further development of the research infrastructure.

SIRFN Focus Area: DER testing protocols

As part of the SIRFN focus are, SIRFN laboratories are developing test protocols for validating the interoperability of distributed energy resources, which can be used in an integrated test platform (System Validation Platform), for implementing a harmonised, international certification standard for all distributed energy resources in the power grids.

SIRFN focus area Advanced Laboratory Testing Methods

Within this SIRFN focus area, advanced methods for laboratory testing of components and electrical power systems are complemented by novel simulation technologies such as Power Hardware-in-the-Loop (PHIL), Controller Hardware-in-the-Loop (CHIL) and co-simulation, whose practical experience is however limited and not yet widespread. The SIRFN partner laboratories use their world-class research infrastructure to share expertise and jointly evaluate these new techniques, with the aim of establishing future test procedures within the framework of international standards, and provide recommendations for the optimal application of these techniques in laboratory environments.

SIRFN Focus Area Power System Testing

Within the framework of the SIRFN focus area "Power System Testing", leading international laboratories are pooling their activities with the aim of developing strategies for testing system aspects of digitalised, renewable energy-based, cyber-physical power systems.

SIRFN Partnerships and Stakeholders

As a global network, SIRFN also works intensively with partners from other relevant networks. These networks include research and development, industry and, in particular, the field of standardisation.

Scope of Resilience Definition

This figure illustrates the chosen framework for assessing the resilience of buildings. The definition focuses on building scale, with consideration of heat waves and power outages for a period of the next 100 years.

Example of Façade-integrated Shading - Masdar City, United Arab Emirates

This illustration shows solar shading. The image was taken in the experimental " ecological city" of Masdar City, United Arab Emirates.

Example of a green façade on a Viennese Apartment Building

This illustration shows an example of a green façade on a Viennese Apartment Building