Hamada, Amr;
Hong, Sung Min;
Raslan, Rokia;
(2023)
A framework for parametric multi-criteria decision analysis (P-MCDA) for building retrofits.
In:
Proceedings of Building Simulation 2023: 18th Conference of IBPSA.
(pp. pp. 2608-2615).
IBPSA
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Abstract
Multi-Criteria-Decision-Analysis (MCDA) has been incorporated into retrofit decision-making to help obtain optimal strategies that can address a holistic objective criterion. However, MCDA for retrofit problems is often performed over two stages through pre-processing or post-processing of the simulation inputs/outputs which leads to detecting only a limited portion of the optimal (Pareto-Front) decisions available. This study proposes a parametric approach for MCDA, embedded into building performance simulation, that addresses many of the MCDA limitations highlighted and demonstrates how the parametric and area-weighted approach proposed can explore a bigger parameter space and be responsive to the various building geometries.
| Type: | Proceedings paper |
|---|---|
| Title: | A framework for parametric multi-criteria decision analysis (P-MCDA) for building retrofits |
| Event: | Proceedings of Building Simulation 2023 |
| Location: | Shanghai, China |
| Dates: | 4th-6th September 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.26868/25222708.2023.1519 |
| Publisher version: | https://publications.ibpsa.org/conference/paper/?i... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Retrofit, MCDA, Parametric, Decision-making, Building Performance Simulation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10177345 |
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