Application of analytical hierarchy process for selecting an interior window blind

Jalilzadehazhari, Elaheh; Johansson, Peter; Johansson, Jimmy; Mahapatra, Krushna

doi:10.1080/17452007.2017.1324402

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…AHP, introduced by Saaty [34], is one of the most commonly used MCDM methods for selecting a trade-off construction solution. The eligibility of the AHP in finding a solution based on the trade-off between visual comfort, thermal comfort, energy demand, and the life-cycle costs was discussed and found to be applicable by Jalilzadehazhari, Johansson, Johansson and Mahapatra [23].…”

Section: Stepmentioning

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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Section: Stepmentioning

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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“…One of the out-comes from this development is that a huge number of products could be evaluated in the design phase and from such, the final choice of product could be done. For this to be practically usable though, the information about products need to be automatically retrieved (Jalilzadehazhari et al, 2017, Negendahl, 2015.…”

Section: Introductionmentioning

confidence: 99%

Semantic Web and Linked Data for Information Exchange between the Building and Product Manufacturing Industries: A Literature Review

Kebede¹,

Moscati²,

Johansson³

2020

CIB W78 Proceedings

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Easy and solid information exchange constitutes an important part in BIM-based projects. To conduct reliable simulations and optimizations, information about products, such as luminaries, windows, doors, etc., need to be provided by the manufacturing industries to the building designers at the early design stage. Several studies and ongoing researches presented the Semantic Web (SW) and Linked Data (LD) technologies as an interoperable and flexible approach for providing product information from the manufacturers during the design and construction stage as well as gathering consumers data to the manufacturers during the operation stage. A systematic literature review has been conducted to investigate benefits and limitations of using the SW and LD technologies for developing product data templates for information exchanges between the building and product manufacturing industries in comparison with the conventional approach of information exchanges using the openBIM standards. Results show that SW and LD could apport considerable benefits to the information exchange in the building sector. Moreover, SW and LD technologies enable the sharing of products' information from manufacturers to designers who can search product information, compare different products and take informed design decisions during the very beginning of the design process.

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“…Multiple MCDM methods have been developed and introduced for resolving a variety of decision-making problems (Peniwati, 2007). In the context of the window and blind design, Jalilzadehazhari, Johansson, Johansson, and Mahapatra (2017) employed a MCDM method to select a trade-off interior blind, based on trade-off between visual comfort, thermal comfort, energy consumption and LCC. The trade-off blind was selected among 40 different interior blinds.…”

Section: Introductionmentioning

confidence: 99%

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

Jalilzadehazhari

Johansson

et al. 2018

Architectural Engineering and Design Management

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Windows and blinds play a significant role in both shaping energy consumption and enhancing indoor comfort. But there are still difficulties with selecting windows and blinds due to the existence of potential conflicts between visual comfort, thermal comfort, energy consumption and life-cycle cost. A literature review was conducted with the purpose of developing a decision-making framework that resolves the conflicts, and allows selecting a window and blind design based on trade-off between visual comfort, thermal comfort, energy consumption and life-cycle cost. The decision-making framework was developed by integrating nondominated sorting genetic algorithm-II as an optimization algorithm with analytical hierarchy process as a multi-criteria decision-making method. The optimization algorithm considers different window and blind design variables and analyses multiple designs, while the multi-criteria decisionmaking method ranks the optimization results and selects a trade-off design. An operating package enabled the decision-making framework to be automated. The operating package was obtained by coupling EnergyPlus as a simulation tool and modeFRONTIER as an integration platform. The decision-making framework was developed to select a trade-off window and blind design through intelligent use of simulation in analysing big-data in built environment, energy and cost sectors. Application of the framework ensures the minimum visual and thermal comfort thresholds with the lowest energy demand and cost. Architects and designers can use the framework during the design or renovation phase of residential and commercial buildings.

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Application of analytical hierarchy process for selecting an interior window blind

Cited by 5 publications

References 30 publications

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

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

Semantic Web and Linked Data for Information Exchange between the Building and Product Manufacturing Industries: A Literature Review

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

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