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Developing a decision-making framework for resolving conflicts when selecting windows and blinds
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology.ORCID iD: 0000-0003-1835-7158
Jönköping University.
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology. Linneuniversitetet.
Linnaeus University, Faculty of Technology, Department of Built Environment and Energy Technology.ORCID iD: 0000-0003-4405-1056
2018 (English)In: Article in journal (Refereed) Accepted
Abstract [en]

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 non-dominated sorting genetic algorithm-II as an optimisation algorithm with analytical hierarchy process as a multi-criteria decision-making method. The optimisation algorithm considers different window and blind design variables and analyses multiple designs, while the multi-criteria decision-making 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.

 

Place, publisher, year, edition, pages
2018.
Keywords [en]
Trade-off design, big-data, optimization, multi-criteria decision-making, non-dominated genetic algorithm II, framework design, analytical hierarchy process
National Category
Architectural Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-65866OAI: oai:DiVA.org:lnu-65866DiVA, id: diva2:1115665
Funder
Knowledge FoundationAvailable from: 2017-06-27 Created: 2017-06-27 Last updated: 2018-10-17
In thesis
1. Windows and blinds selection for enhancing subjective well-being
Open this publication in new window or tab >>Windows and blinds selection for enhancing subjective well-being
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Earlier studies in the context of windows and blinds selection have mostly tried to increase the awareness regarding various effects of windows and blinds selection on subjective well-being, including their effect on visual comfort, thermal comfort, energy consumption and life cycle cost. However, the main problem is the potential conflicts between visual comfort, thermal comfort, energy consumption and life cycle cost. Increased awareness about the contradictory effect of windows and blinds selection on subjective well-being on one hand and lack of a feasible method in managing the conflicts on the other hand may bind individuals, as decision-makers, in a situation where they follow the immediate economic benefits rather than the long-term visual and thermal benefits. To solve the mentioned problem, this study analysed first the degree of the conflicts between average daylight illuminance and total energy consumption in Sweden. This decision was made due to large variation in solar elevation angle and solar intensity between summer and winter in Sweden, which has significant effects on daylight illuminance and total energy consumption. Analysing the conflicts was accomplished by developing two multivariate linear regression models for calculating average daylight illuminance and total energy consumption. Comparison and analysis of the multivariate linear regression models showed the existence of a high degree of conflicts, which makes window and blind selection a rather complex multidimensional problem. Specifying the degree of the conflicts formed a hypothesis as: “A multi criteria decision-making method increases the controllability and manages the conflicts in selecting windows and blinds”. The developed hypothesis was later tested by employing analytical hierarchy process, as widely used multi criteria decisionmaking method. The analytical hierarchy process prioritizes decision-maker’ preferences and introduces a desired trade-off solution. The results of employing analytical hierarchy process showed the capability of it in managing the conflicts among visual comfort, thermal comfort, energy consumption and life cycle cost. Finally, the application of the analytical hierarchy process was expanded by integrating it with nondominated sorting genetic algorithm-II, as an optimization algorithm. Through this integration, optimization algorithm combines windows’ and blinds’ design variables and analyses a large number of solutions, while analytical hierarchy process ranks the solutions based on decision-makers’ preferences and introduces a desired trade-off solution. The integration between analytical hierarchy process and the nondominated sorting genetic algorithm-II was presented later as a conceptual framework. The developed conceptual framework can be used for selecting windows and blinds II in both residential and commercial buildings. In selecting windows and blinds, the conceptual framework is a novel solution to the lack of a feasible method for increasing the controllability for decision-makers and obtaining a desired trade-off solution.

Abstract [sv]

Tidigare studier avseende val av fönster och solskydd har främst försökt fastställa olika effekter som valet av fönster och solskydd har på det subjektiva välbefinnandet. Detta inkluderar dessa föremåls effekt på den visuella komforten, den termiska komforten, energiförbrukningen och livscykelkostnaderna. Det huvudsakliga problemet är dock de potentiella konflikterna mellan visuell komfort, termisk komfort, energiförbrukning och livscykelkostnader. Avsaknaden av en metod för att hantera denna konflikt leder till att beslutfattaren fastnar i en situation där de snarare gör sitt val utifrån omedelbara ekonomiska fördelar än de långsiktiga visuella och termiska fördelarna. För att lösa ovan nämnda problem analyserades konflikterna mellan det genomsnittliga dagsljusinsläppet och den totala energiförbrukningen i Sverige. En av huvudanledningarna till konflikterna är att solens infallsvinkel och intensitet varierar kraftigt mellan sommar och vinter i Sverige. Detta har betydande effekter på dagsljusinfallet och den totala energiförbrukningen. Konflikterna analyserades genom att utveckla två multivariata linjära regressionsmodeller för att beräkna det genomsnittliga dagsljusinfallet och den totala energiförbrukningen. En jämförelse och analys av de multivariata linjära regressionsmodellerna påvisade en hög grad av konflikter, vilket gör valet av fönster och solskydd till ett komplext och flerdimensionellt problem. Bestämningen av graden av konflikt formade följande hypotes: ” En multikriterieanalysbaserat beslutsstöd ökar kontrollerbarheten och hanterar konflikter vid valet av fönster och solskydd”. Den utvecklade hypotesen testades senare med hjälp av Analytical Hierarchy Process (AHP), en ofta använd multikriterieanalys metod för beslutsfattande. Metoden tar fram lösningar genom att göra prioriteringar enligt beslutsfattarens preferenser. Resultaten av att tillämpa metoden visade metodens förmåga att lösa konflikterna kring visuell komfort, termisk komfort, energiförbrukning och livscykelkostnad. Slutligen utökades metoden genom att integrera AHP med optimeringsalgoritmen Non-dominated sorting genetic algorithm-II. Genom denna integrering kombinerar optimeringsalgoritmen fönstrens och solskyddens design variabler till ett stort antal lösningsförslag. Dessa lösningsförslag analyseras och till sist rangordnas lösningsförslagen med hjälp av AHP baserat på beslutsfattarnas preferenser. Integreringen av AHP och optimeringsalgoritmen presenterades som ett konceptuellt ramverk. I valet av fönster och solskydd är det konceptuella ramverket en ny lösning för att öka den upplevda kontrollen och därmed förstärka det subjektiva välbefinnandet.

Place, publisher, year, edition, pages
Växjö: Linnaeus University Press, 2017. p. 65
Series
Lnu Licentiate ; 1
Keywords
Subjective well-being, perceived control, controllability, analytical hierarchy process, non-dominated sorting genetic algorithm-II
National Category
Architectural Engineering
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
urn:nbn:se:lnu:diva-65211 (URN)978-91-88357-76-2 (ISBN)
Presentation
2017-06-12, M1088, George Lückligs väg, Växjö, 10:00 (English)
Opponent
Supervisors
Projects
ProWood
Funder
Knowledge Foundation, 20130245
Available from: 2017-06-27 Created: 2017-06-13 Last updated: 2017-06-28Bibliographically approved

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