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CORDIS - EU research results
CORDIS

Dynamic EU building stock knowledge hub

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Project Flyer (opens in new window)
Promotional Material (opens in new window)
Matrix, describing the available datasets and main data sources and type (opens in new window)

Matrix, describing the available datasets, as well as main sources, data types, data classes, interlink between datasets and etc. (draft M12, M18)

Report on relationships of stakeholder needs and requirements (opens in new window)

Report on relationships of stakeholder needs and their technical requirements

Circular economy approach for contributing to bld stock decarbonisation (opens in new window)

Circular economy approach principle for contributing to building stock decarbonisation, (draft M24)

Building stock progress monitoring report (opens in new window)

Building stock progress monitoring report with a first pilot issue by M36

Building sector indicators, definition, calculation, representation (opens in new window)

Building sector indicators, their detailed definition, the necessary data to provide them, main datasets sources that should be used, possible benchmarking threshold values and possible definition of the graphical presentation (draft M12, 24)

Final Communication, Dissemination and Exploitation Tracker (opens in new window)
Stakeholder mapping (opens in new window)

Stakeholder mapping: infographic and shot report summarizing approach and lessons learnt

Report on training programmes and pilot initiatives (opens in new window)

Report on training programmes and pilot initiatives by ambassador group (draft M24)

Functionalities of the BuiltHub platform and provided services (opens in new window)

Functionalities of the BuiltHub platform and provided services (draft M12)

Final stakeholder engagement report (opens in new window)

Final stakeholder engagement report including achievement of workshops, pioneering use, stakeholder dialogues (draft M30)

Report on data visualization (opens in new window)

D4.5 Report on data visualization (draft M18, M30)

Guidelines to enhance the capacity of policymakers & stakeholders (opens in new window)

Guidelines to enhance the capacity of local, national, and EU policymakers & stakeholders

Methodology on quality assurance (opens in new window)

Methodology on quality assurance (draft M18)

Inventory structure and main feature and datasets (opens in new window)

Inventory structure and main feature and datasets (draft M6)

Roadmap towards dynamic and automated bld. data collection (opens in new window)

Roadmap towards dynamic and automated building data collection, eventually leading to a live picture of the building stock, (annual draft M12, M24, M36)

Publications

Building Stock Datasets Analysis in the BuiltHub Project (opens in new window)

Author(s): Carla Rodríguez Alonso, Víctor Iván Serna González, Gema Hernández Moral
Published in: 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), 2024, Page(s) 1-8
Publisher: IEEE
DOI: 10.1109/iisa59645.2023.10345874

European Building Stock Analysis

Author(s): Aleksandr Gevorgian, Simon Pezzutto, Stefano Zambotti, Silvia Croce, Ulrich Filippi Oberegger, Roberto Lollini, Lukas Kranzl, Andreas Müller
Published in: 2021, ISBN 978-88-98857-68-5
Publisher: Eurac

Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning (opens in new window)

Author(s): Pei-Yu Wu, Tim Johansson, Mikael Mangold, Claes Sandels, Kristina Mjörnell
Published in: Journal of Physics: Conference Series, Issue 2654, 2023, Page(s) 012086, ISSN 1742-6588
Publisher: Institute of Physics
DOI: 10.1088/1742-6596/2654/1/012086

Predicting the presence of hazardous materials in buildings using machine learning (opens in new window)

Author(s): Pei-Yu Wu, Claes Sandels, Kristina Mjörnell, Mikael Mangold, Tim Johansson
Published in: Building and Environment, Issue 213, 2023, Page(s) 108894, ISSN 0360-1323
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.buildenv.2022.108894

Assessment of Building Materials in the European Residential Building Stock: An Analysis at EU27 Level (opens in new window)

Author(s): Claudio Zandonella Callegher; Gianluca Grazieschi; Eric Wilczynski ; Ulrich Filippi Oberegger; Simon Pezzutto
Published in: Sustainability, Issue Sustainability 2023, 15(11), 8840, 2023, ISSN 2071-1050
Publisher: MDPI Open Access Publishing
DOI: 10.3390/su15118840

Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings (opens in new window)

Author(s): Pei-Yu Wu, Mikael Mangold, Claes Sandels, Tim Johansson, Kristina Mjörnell
Published in: IOP Conference Series: Earth and Environmental Science, Issue 1122, 2022, Page(s) 012050, ISSN 1755-1307
Publisher: IOPScience
DOI: 10.1088/1755-1315/1122/1/012050

Integration of datasets to provide insights about households’ natural gas expenditure as trigger to building stock decarbonisation (opens in new window)

Author(s): Iná E.N. Maia, R.M. Moraes, R.T. Almeida, L. Kranzl, A. Müller, F. Schipfer
Published in: Heliyon, Issue 9, 2024, Page(s) e14922, ISSN 2405-8440
Publisher: Heliyon
DOI: 10.1016/j.heliyon.2023.e14922

Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings, Resources, Conservation, and Recycling (2023) (opens in new window)

Author(s): Pei-Yu Wu, Claes Sandels, Tim Johansson, Mikael Mangold, Kristina Mjörnell,
Published in: Resources, Conservation and Recycling, Issue Resources, Conservation and Recycling Volume 199, December 2023, 107253, 2023, ISSN 0921-3449
Publisher: Elsevier BV
DOI: 10.1016/j.resconrec.2023.107253

Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks (opens in new window)

Author(s): Pei-Yu Wu, Tim Johansson, Mikael Mangold, Claes Sandels, Kristina Mjörnell
Published in: Expert Systems with Applications, Issue 222, 2024, Page(s) 119812, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.119812

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