Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

Wong, Johnny; Li, Heng

doi:10.1016/j.buildenv.2006.11.019

Cited by 359 publications

(216 citation statements)

References 34 publications

(48 reference statements)

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“…Chiang et al [6] published a study on the comprehensive indicator of indoor environment assessment for occupants' health. Wong et al [14] showed an application of the AHP in multi-criteria analysis of the selection of intelligent building systems. Kim et al [15] developed a housing performance 1 1 evaluation model for multi-family residential buildings considering criteria such as thermal comfort, indoor environmental quality, usability, and surroundings.…”

Section: The Decision Making Protocolmentioning

confidence: 99%

Multi-criteria decision making under uncertainty in building performance assessment

Hopfe

Augenbroe

Hensen

2013

Building and Environment

134

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Multi-criteria decision making under uncertainty in building performance assessment. Building and Environment, 69, Additional Information:• 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: AbstractBuilding 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.

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Section: The Decision Making Protocolmentioning

confidence: 99%

Multi-criteria decision making under uncertainty in building performance assessment

Hopfe

Augenbroe

Hensen

2013

Building and Environment

134

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“…They developed a conceptual model for the selection of the appropriate key performance indicators (KPIs). Wong and Li (2008) proposed a multicriteria decision-making model using the analytic hierarchy process (AHP) approach to evaluate the selection of IB systems. Kolokotsa et al (2007) proposed a methodology for the buildings' intelligence assessment through the development of a matrix tool.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Kahraman

Kaya

2012

Journal of Civil Engineering and Management

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Abstract. Multi-Attribute Utility Theory (MAUT) is an evaluation scheme which is very popular by decision makers for evaluating their judgments. According to MAUT, the overall evaluation U(x) of an object x is defined as a weighted addition of its evaluation with respect to its relevant value dimensions. The recent years have witnessed a huge concentration and interest in intelligent buildings' performance that is increasingly evidenced in building design and construction. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances. For this aim, in this paper a fuzzy multiple attribute utility model for intelligent building assessment is proposed and three alternative intelligent buildings for a business center in Istanbul are evaluated.

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“…With this in mind, the use of multi-attribute decision making methods including TOPSIS and AHP for selection of building materials for sustainable buildings has been studied in several previous studies [23,[71][72][73][74]. In particular, in a study focused on embodied carbon of structures, Moussavi et al showed that the selection of building material for a structure should be performed by accounting for the effect such selection may have on the operating carbon of a building [29].…”

Section: Low-carbon Materialsmentioning

confidence: 99%

Estimation and Minimization of Embodied Carbon of Buildings: A Review

2017

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Building and construction is responsible for up to 30% of annual global greenhouse gas (GHG) emissions, commonly reported in carbon equivalent unit. Carbon emissions are incurred in all stages of a building's life cycle and are generally categorised into operating carbon and embodied carbon, each making varying contributions to the life cycle carbon depending on the building's characteristics. With recent advances in reducing the operating carbon of buildings, the available literature indicates a clear shift in attention towards investigating strategies to minimize embodied carbon. However, minimizing the embodied carbon of buildings is challenging and requires evaluating the effects of embodied carbon reduction strategies on the emissions incurred in different life cycle phases, as well as the operating carbon of the building. In this paper, the available literature on strategies for reducing the embodied carbon of buildings, as well as methods for estimating the embodied carbon of buildings, is reviewed and the strengths and weaknesses of each method are highlighted.

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Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

Cited by 359 publications

References 34 publications

Multi-criteria decision making under uncertainty in building performance assessment

Multi-criteria decision making under uncertainty in building performance assessment

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Estimation and Minimization of Embodied Carbon of Buildings: A Review

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