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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25971

Title: Decision support tool for selection of best building retrofit action
Authors: Fouchal, Farid
Dimitriou, Vanda
Hassan, Tarek M.
Firth, Steven K.
Oraiopoulos, Argyris
Masior, Jonathan
Schimpf, Sven
Keywords: MCDM
Building retrofit
BIM
Decision support
Energy performance
Issue Date: 2017
Publisher: Heriot-Watt University
Citation: FOUCHAL, F. ... et al, 2017. Decision support tool for selection of best building retrofit action. IN: Bosche, F., Brilakis, I. and Sacks, R. (eds). Lean and Computing in Construction Congress (LC3): Volume I - Proceedings of the Joint Conference on Computing in Construction (JC3), Heraklion, Greece, 4th-7th July 2017, pp. 741-749.
Abstract: This paper shows a process of developing a decision support tool to automatically generate building retrofit alternatives and rank them using energy performance analysis, user requirements, relevant benchmarks and regulations. Refinement of the retrofit scenarios follows a set of steps from creation of a Building Information Model of a base-case representing the status of the building at the time of the analysis, then creation of combinations for the possible retrofit scenarios. TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) based multi criteria approach is adopted as it relies on identified best alternatives using selected criteria. Ranking of alternatives follows their relative closeness to the identified ideal alternative. Best options are graphically presented.
Description: This is a conference paper.
Sponsor: The Design4Energy project is co-funded by the EU Commission, Information Society and Media Directorate-General, under the Seventh Framework Programme (FP7), Grant agreement no: 609380. Authors wish to acknowledge the Commission for their support.
Version: Accepted for publication
DOI: 10.24928/JC3-2017/0343
URI: https://dspace.lboro.ac.uk/2134/25971
Publisher Link: https://doi.org/10.24928/JC3-2017/0343
ISBN: 9780956595164
Appears in Collections:Conference Papers (Civil and Building Engineering)

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