Environmental and energy performance assessment of buildings using scenario modelling and fuzzy analytic network process

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Title: Environmental and energy performance assessment of buildings using scenario modelling and fuzzy analytic network process
Authors: Hu, ShushanHoare, CathalRaftery, PaulO'Donnell, James
Permanent link: http://hdl.handle.net/10197/12267
Date: 1-Dec-2019
Online since: 2021-06-21T11:55:56Z
Abstract: A well-recognised gap exists between measured and predicted building energy performance. Some practical assessment approaches offer the potential to reduce this gap using multiple indicators that evaluate building performance. Such approaches rely on subjective analysis of indicators’ relative weights but are typically limited to a fixed assessment structure. Scenario modelling is one method that enables flexible and multi-granular environmental and energy performance assessment by coupling building function with other pivotal aspects of building operation. However, this method weighs all performance criteria equally. The objective of this paper is to empower building managers with enhanced environmental and energy performance assessment by integrating scenario modelling with a Fuzzy Analytic Network Process. Scenario modelling decomposes environmental and energy performance assessment into a set of flexible mappings between performance indicators and multi-granular building objects while Fuzzy Analytic Network Process enables calculation of relative weights by encapsulating ambiguity in domain expertise and complex interactions among often conflicting criteria. A case study demonstrated the engineering value of this approach. The sports centre obtained an operational score of 56.9 out of 100, or level 4 of 6 (i.e. very good) in terms of operational performance classification using calculated relative weights and intermediate results for eight carefully-identified indicators. When compared to an equivalent assessment using equally weighted criteria, the proposed approach enables more informative and targeted evaluations. With these results, building managers can quickly identify inefficient areas of building operation and improve energy consumption while maintaining building function. The approach is applicable for a wide range of buildings.
Funding Details: Science Foundation Ireland
Funding Details: Natural Science Foundation of Hubei Province, China
Type of material: Journal Article
Publisher: Elsevier
Journal: Applied Energy
Volume: 255
Copyright (published version): 2019 Elsevier
Keywords: Building energy performance assessmentMultiple criteria decision makingScenario modellingFuzzy analytic network processRelative weight analysisOrder preferenceThermal comfortChina
DOI: 10.1016/j.apenergy.2019.113788
Language: en
Status of Item: Peer reviewed
ISSN: 0306-2619
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Mechanical & Materials Engineering Research Collection
Energy Institute Research Collection

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