The application of analytic hierarchy process in daylighting performance assessment

Chung, TM; Ng, Rth

doi:10.1177/1420326x14525061

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…Applied pairwise comparisons between visual comfort criteria in matrix B were also specified by conducting a literature study. The results presented by previous studies showed that the amount of daylight (H (ill.500) in this study) is more important than glare (H (DGI.22) in this study) to a small degree (Chung & Ng, 2016), while it is slightly more important than uniformity (U in this study) (Chung & Ng, 2016). The CR calculated for matrix B was approximately 0.1, which means that applied pairwise comparisons between visual comfort criteria were consistent.…”

Section: Post-processing Phasesupporting

confidence: 77%

Applying a decision-making framework for resolving conflicts when selecting windows and blinds

Jalilzadehazhari

Johansson

Mahapatra

2018

Architectural Engineering and Design Management

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The selection of the most appropriate window and blind design is a challenging task due to the existence of potential conflicts between visual comfort, thermal comfort, energy consumption and life cycle cost. Resolving these conflicts relies on a trade-off window and blind design. This research applied a decision-making framework to select a trade-off window and blind design for an office room in Sweden. The decisionmaking framework was developed based on integrating the nondominated sorting genetic algorithm-II and the analytical hierarchy process. The first step in the application of the framework was to generate a model of the office room using EnergyPlus. Six types of window and four types of blind; an internal venetian blind, an internal roller curtain, an external venetian blind and an external overhang panel, were modelled in EnergyPlus. The second step was to run an optimisation using non-dominated sorting genetic algorithm-II. For this purpose, various window and blind design variables were specified in modeFRONTIER platform. The third and last step in the application of the decision-making framework was to select a trade-off window and blind design using analytical hierarchy process. The results show the strength of the decision-making framework in selecting a trade-off design, and thereby the ability to resolve conflicts through intelligent use of simulation in analyzing big-data in built environment, energy and cost sectors. Since, the computation and processing power for performing simulations is constantly increasing, architects and designers can exploit the decision-making framework and locate a trade-off design in a relatively short period of time.

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Section: Post-processing Phasesupporting

confidence: 77%

Applying a decision-making framework for resolving conflicts when selecting windows and blinds

Jalilzadehazhari

Johansson

Mahapatra

2018

Architectural Engineering and Design Management

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“…Certainly the use of AHP in the selection of interior lighting systems is not a novel issue [16]- [18]. However, the relevance of this study relies in the combination of economic criteria (such as life-cycle cost) and energy saving along with luminaires characteristics (such as lifespan and color rendering) and other lighting parameters previously simulated (e. g. illuminance, power consumption, uniformity, glare, and energy efficiency).…”

Section: Discussionmentioning

confidence: 99%

AHP-based approach for lighting system selection in an underground parking

Pérez-Gosende¹

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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This research aims to identify the most suitable lighting system for an underground parking in an academic building according to international standards. Nine lighting systems scenarios were evaluated and the most suitable was selected considering experts criteria through an Analytical Hierarchical Process (AHP). The decision criteria considered were: total power, average lifespan, life-cycle cost, illuminance, uniformity, glare, energy efficiency, color rendering and energy saving, some of which were simulated through DIALux software. Among these criteria, the uniformity of the illuminance was the most influential criterion in the final decision according to experts' judgement. Contrariwise, glare and color rendering were the least important criteria. As a result, a LED technology lighting system with an expected annual energy saving of 35% turned out the most suitable for the indoor facility under study.

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“…Matrix C shows the pairwise comparisons performed among the visual comfort criteria. According to Chung and Ng [39], H illu > 500 is to a small degree more important than H DGI>22 . The weight of the criteria was calculated following the three above-mentioned steps.…”

Section: First Scenariomentioning

confidence: 99%

Achieving a Trade-Off Construction Solution Using BIM, an Optimization Algorithm, and a Multi-Criteria Decision-Making Method

2019

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The Energy Performance of Building Directive obligated all European countries to reduce the energy requirements of buildings while simultaneously improving indoor environment quality. Any such improvements not only enhance the health of the occupants and their productivity, but also provide further economic benefits at the national level. Accomplishing this task requires a method that allows building professionals to resolve conflicts between visual and thermal comfort, energy demands, and life-cycle costs. To overcome these conflicts, this study exploits the incorporation of building information modelling (BIM), the design of experiments as an optimization algorithm, and the analytical hierarchy process (AHP) into a multi-criteria decision-making method. Any such incorporation can (i) create constructive communication between building professionals, such as architects, engineers, and energy experts; (ii) allow the analysis of the performance of multiple construction solutions with respect to visual and thermal comfort, energy demand, and life-cycle costs; and (iii) help to select a trade-off solution, thereby making a suitable decision. Three types of energy-efficient windows, and five types of ground floors, roofs, and external wall constructions were considered as optimization variables. The incorporation of several methods allowed the analysis of the performance of 375 construction solutions based on a combination of optimization variables, and helped to select a trade-off solution. The results showed the strength of incorporation for analyzing big-data through the intelligent use of BIM and a simulation in the field of the built environment, energy, and costs. However, when applying AHP, the results are strongly contingent on pairwise comparisons.

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The application of analytic hierarchy process in daylighting performance assessment

Cited by 9 publications

References 26 publications

Applying a decision-making framework for resolving conflicts when selecting windows and blinds

Applying a decision-making framework for resolving conflicts when selecting windows and blinds

AHP-based approach for lighting system selection in an underground parking

Achieving a Trade-Off Construction Solution Using BIM, an Optimization Algorithm, and a Multi-Criteria Decision-Making Method

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