Project Image Pool
There are 175 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).
Simultaneity of PV electricity generation and heat pump electricity demand for different control strategies in the PEB use case EXCESS
Comparison of the electricity demand of heat pumps under different control strategies, simulated for the Austrian EXCESS demonstration building, in relation to the available PV generation on the façade for an average winter week in February. The building under investigation represents a use case in the IEA EBC Annex 83 project.
Copyright: AEE INTEC
Innsbruck Campagne
PV Potential of the Facade - Project Innsbruck Campagne
Copyright: UIBK Heiß/Ochs
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.
Copyright: EQUA
Annex 81 Policy Package
Graphic representation of the policy package of measures developed in Annex 81 to promote Data-Driven Smart Buildings.
Copyright: Stephen White - format adopted from from IEA, 2023 “Energy Efficiency Policy Toolkit 2023”,
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.
Copyright: Shady Attia, Ronnen Levinson, Eileen Ndongo, Peter Holzer, Ongun Berk Kazanci, Shabnam Homaei, Chen Zhang, Bjarne W. Olesen, Dahai Qi, Mohamed Hamdy, Per Heiselberg; Resilient cooling of buildings to protect against heat waves and power outages: Key concepts and definition; Energy and Buildings, Volume 239; 2021; 110869, ISSN 0378-7788, https://doi.org/10.1016/j.enbuild.2021.110869.
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.
Copyright: Institute of Building Research & Innovation ZT GmbH
Example of a green façade on a Viennese Apartment Building
This illustration shows an example of a green façade on a Viennese Apartment Building
Copyright: Institute of Building Research & Innovation ZT GmbH
Example of solar shading of a public walkway in Dubai, United Arab Emirates
This illustration shows solar shading of an open public space in Dubai, United Arab Emirates.
Copyright: Institute of Building Research & Innovation ZT GmbH
Aerial view case study Gleisdorf
Aerial view case study Gleisdorf
Copyright: AEE INTEC
Process scheme for integrated Energy Master Planning that leads to a Resilient Energy System
How can we achieve resilient energy supply for buildings with critical infrastructure, based on renewable sources? Let us start with analysing the critical functions, assess the resilience, efficiency and sustainability of existing systems and add innovative and validated renewable energy sources as well as storage elements. This diagram shows you how to proceed.
Copyright: AEE INTEC
Campus of the Johannes-Kepler university in Linz
A bird's eye view shows the potential of the university campus JKU. Many buildings from different construction ages can become much more efficient through thermal and electrical renovation. This also makes it easier to supply them with a local energy system based on renewable and combined heating and cooling, and to maintain critical functions even in difficult situations.
Copyright: AEE INTEC
Measurements setup in test dwelling
The pictures shows the measurement setup in an unoccupied dwelling in the fieldstudy object "An der Lan" from the Innsbrucker Immobilien Gesellschaft.
Copyright: Gabriel Rojas, Universität Innsbruck
Data soures
Schematic drawing of the usable parameters from different possible data sources.
Copyright: Susanne Metzger, Technische Universität Wien
Model scheme
Scheme of a resistor-capacitance model (RC model) which can describe the heatflows of a building in a simplified manner.
Copyright: Gabriel Rojas, Universität Innsbruck
Co-Citation analysis in CiteSpace
The network characterises the development of research fronts and related topics. The network shows the 15 most relevant research topics by title and abstract.
Copyright: ÖGUT
Classification scheme for building stock energy models
The classification scheme establishes a flexible framework for high-level model classification that: (a) builds from existing classification frameworks while accounting for emerging simulation-based, data-driven, and hybrid modeling techniques; (b) recognizes the potential sub-layers of a building stock energy model; and (c) encourages the description of additional model dimensions that are not readily captured by a high-level classification.
Copyright: Langevin et al (2020)
Indoor air pollutants in residential housing
This figure illustrates possible indoor air pollutant sources in residential buildings.
Copyright: B. Oleson, Technical University of Denmark (DTU)
Schematic illustration of the active overflow principle
This figure shows an example of how the principle of active overflow can be implemented in a residential unit.
Copyright: G. Rojas, Universität Innsbruck
Example illustration of the Indoor Air Quality metric of Subtask 1
An example of Indoor Air Quality / Energy signature for low-energy residential buildings (data represented here are just for display and do not represent actual situation).
Copyright: M. Abadie, University of La Rochelle
Particulate matter emissions during cooking
The figure shows the emitted particulate matter mass as a function of particle size for three different cooking processes.