SimAUD-2016-Stakeholder Decision Making in Passivhaus Design-Accepted Version.pdf (264.7 kB)

Stakeholder decision making in Passivhaus design

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conference contribution
posted on 22.04.2016, 11:04 by Elaine Robinson, Christina Hopfe, Jonathan Wright
The design and construction of a building is inherently complex and a myriad of decisions must be made during the design and planning process. No single stakeholder (architect, client, building physicist) has complete knowledge and visibility of the consequences of each decision and each stakeholder group is driven by different objectives. Those aspiring to construct low-energy buildings, and Passivhaus in particular, are subject to numerous constraints, relating to building performance, site restrictions and planning policy (amongst others) and seemingly innocuous small changes to the design can divert decision- makers from their aims. Multi-criteria decision making provides a method of attempting to satisfy numerous, often conflicting objectives, in order to reach the ‘optimum’ solution, and therefore provides a means to combine these varied goals. Existing research in the sphere of building performance simulation often focuses on its application to quantitative criteria. This paper proposes incorporating stakeholder preference modelling in multi-criteria decision making by first analysing stakeholder goals, to gain a greater understanding of their motivation and decision paths, within the context of Passivhaus construction in the UK.

History

School

  • Architecture, Building and Civil Engineering

Published in

Symposium on Simulation for Architecture and Urban Design

Citation

ROBINSON, E., HOPFE, C.J. and WRIGHT, J.A., 2016. Stakeholder decision making in Passivhaus design. Presented at the 7th Annual Symposium on Simulation for Architecture and Urban Design (SimAUD), University College, London, May 16-18th.

Publisher

© 2016 Society for Modeling & Simulation International (SCS)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

12/02/2016

Publication date

2016

Notes

This is a conference paper published with kine permission of the Society for Modeling & Simulation International.

Publisher version

Language

en

Location

London

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