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

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Jalilzadehazhari, Elaheh,1985-Linnéuniversitetet,Institutionen för skog och träteknik (SOT) (author)

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

Article/chapterEnglish2019

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2018-12-01
Taylor & Francis,2019
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:lnu-79039
https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-79039URI
https://doi.org/10.1080/17452007.2018.1550383DOI

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Language:English
Summary in:English

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

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 decision-making framework was developed based on integrating the non-dominated 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.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Arkitekturteknik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Architectural Engineering hsv//eng
Decision-making
big data
optimisation
non-dominated sorting genetic algorithm II
analytical hierarchy process
trade-off design
Sustainable Built Environment
Hållbar byggd miljö

Added entries (persons, corporate bodies, meetings, titles ...)

Johansson, Jimmy,1978-Linnéuniversitetet,Institutionen för skog och träteknik (SOT)(Swepub:lnu)jjomtk (author)
Mahapatra, Krushna,Professor,1974-Linnéuniversitetet,Institutionen för byggd miljö och energiteknik (BET)(Swepub:lnu)krmaaa (author)
LinnéuniversitetetInstitutionen för skog och träteknik (SOT) (creator_code:org_t)

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In:Architectural Engineering and Design Management: Taylor & Francis15:5, s. 382-4011745-20071752-7589

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