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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/14706

Title: Multi-criteria decision making under uncertainty in building performance assessment
Authors: Hopfe, Christina J.
Augenbroe, Godfried L.M.
Hensen, Jan L.M.
Keywords: Building performance simulation
Multi-criteria decision making
Uncertainty analysis
Detailed design
Issue Date: 2013
Publisher: © Elsevier
Citation: HOPFE, C.J., AUGENBROE, G.L.M. and HENSEN, J.L.M., 2013. Multi-criteria decision making under uncertainty in building performance assessment. Building and Environment, 69, pp.81-90.
Abstract: Building performance assessment is complex, as it has to respond to multiple criteria. Objectives originating from the demands that are put on energy consumption, acoustical performance, thermal occupant comfort, indoor air quality and many other issues must all be reconciled. An assessment requires the use of predictive models that involve numerous design and physical parameters as their inputs. Since these input parameters, as well as the models that operate on them, are not precisely known, it is imprudent to assume deterministic values for them. A more realistic approach is to introduce ranges of uncertainty in the parameters themselves, or in their derivation, from underlying approximations. In so doing, it is recognized that the outcome of a performance assessment is influenced by many sources of uncertainty. As a consequence of this approach the design process is informed by assessment outcomes that produce probability distributions of a target measure instead of its deterministic value. In practice this may lead to a “well informed” analysis but not necessarily to a straightforward, cost effective and efficient design process. This paper discusses how design decision making can be based on uncertainty assessments. A case study is described focusing on a discrete decision that involves a choice between two HVAC system designs. Analytical hierarchy process (AHP) including uncertainty information is used to arrive at a rational decision. In this approach, key performance indicators such as energy efficiency, thermal comfort and others are ranked according to their importance and preferences. This process enables a clear group consensus based choice of one of the two options. The research presents a viable means of collaboratively ranking complex design options based on stakeholder’s preferences and considering the uncertainty involved in the designs. In so doing it provides important feedback to the design team.
Description: This is the author’s version of a work that was accepted for publication in Building and Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published at: http://dx.doi.org/10.1016/j.buildenv.2013.07.019
Version: Accepted for publication
DOI: 10.1016/j.buildenv.2013.07.019
URI: https://dspace.lboro.ac.uk/2134/14706
Publisher Link: http://dx.doi.org/10.1016/j.buildenv.2013.07.019
ISSN: 0360-1323
Appears in Collections:Published Articles (Architecture, Building and Civil Engineering)

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