Building Carbon Emissions Modeling Framework (Webinar 1)
Shady Attia Shady Attia
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 Published On Apr 24, 2024

As part of the DYNAMIC RENOWAVE Project activities and in line with the new EU Energy for Building Performance Directive, we are investigating modeling approaches for life cycle carbon emissions for buildings. Firstly, to define common GHG emission accounting conditions to assess embodied and operation emissions. Secondly, define an initial carbon emissions modeling framework that can allow comparing the building emissions in a consistent way worldwide. Several meetings and discussions took place between September 2023 and March 2024 between the Renowave project consortium to identify a systematic methodology for assessing the GHG emissions in buildings and enable the comparative evaluation of carbon reduction measures and technologies. The webinar will share some insights on common calculation methods based on existing standards and in line with the IPCC emissions assessment approach. The webinar is meant to open a discussion about carbon emissions modeling in the building sector and reflect on DYNAMIC RENOWAVE's initial framework.

Together with a new team of Ph.D. students, Aurora Luigia Teresa Bertini and Maxime Dasse and scientists including Prof. André Stephan, Prof. Émilie Gobbo and Prof. Shady Attia, we are collaborating on the RENOWAVE Project. The project client and funding type are from the FNRS PDR: https://lnkd.in/eKvyWjJB

About the speakers:
Steffen Petersen is a professor and building engineer at Aarhus University in Denmark with 10 years of experience working as a consulting engineer in professional practice. Today, he conducts research and teaches practical and socially relevant topics within building science, with a particular focus on methods, tools, and technologies for resource-efficient design and operation of buildings, promoting indoor environments that support health, well-being, comfort, and productivity.

Shady Attia is a professor of sustainable architecture and building technology at Liege University. His research interests include computational modelling, analysis and monitoring of the building performance of domestic and commercial building stock, development of building analysis models, delivery of retrofit strategies and the application of GHG emissions reduction policy and decision support for sustainable high-performance building design.

Presentations and Report can be downloaded here: https://orbi.uliege.be/handle/2268/31...

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