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Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation

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journal contribution
posted on 2019-06-14, 15:04 authored by Nikoleta Kokaraki, Christina Hopfe, Elaine Robinson, Elli Nikolaidou
The design of a building is a decision problem with multiple stakeholders and several often conflicting criteria. Multi-Criteria Decision-Making (MCDM) methods are capable of handling decision problems with the abovementioned specific features. This paper focuses on the application and comparison of some of the most well-known and widely applied MCDM methods; namely AHP, TOPSIS, ELECTRE III, and PROMETHEE II. For this purpose, a framework that incorporates the decision-makers’ preferences and the use of dynamic simulation of the potential building forms is developed and applied to a real-life case study. This procedure provides a holistic approach through which the design team arrive at a more appropriate decision. The examined methods yield similar results, showing broad agreement on the top ten alternatives, amongst which the decision-makers can decide. In particular, the majority of the examined methods (all except TOPSIS) concluded with the same optimal solution, a situation that provides confidence in the final decision. Furthermore, an investigation of four “what-if” scenarios indicates that TOPSIS is the most sensitive method to the examined changes in the subjective preferences.

History

School

  • Architecture, Building and Civil Engineering

Published in

Renewable and Sustainable Energy Reviews

Volume

112

Pages

991-1007

Citation

KOKARAKI, N. ... et al, 2019. Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation. Renewable and Sustainable Energy Reviews, 112, pp. 991-1007.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal Renewable and Sustainable Energy Reviews and the definitive published version is available at https://doi.org/10.1016/j.rser.2019.06.018.

Acceptance date

2019-06-10

Publication date

2019-06-26

ISSN

1364-0321

Language

  • en