Multi-objective energy and daylight optimization of amorphous shading devices in buildings

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dc.authoridMehmet Fatih Taşgetiren / 0000-0002-5716-575X
dc.authorscopusidMehmet Fatih Taşgetiren / 6505799356
dc.authorwosidMehmet Fatih Taşgetiren / CDL-1821-2022
dc.contributor.authorKırımtat, Ayça
dc.contributor.authorKrejcar, Ondrej
dc.contributor.authorEkici, Berk
dc.contributor.authorTaşgetiren, Mehmet Fatih
dc.date.accessioned2020-08-30T20:06:47Z
dc.date.available2020-08-30T20:06:47Z
dc.date.issued2019
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractAs integrated components of the building envelopes, shading devices are the elements designed for stopping excessive amount of direct and indirect sunlight passing through and for avoiding undesirable admission of light into glazed buildings. Shading devices also reduce the operational cost of active systems, mostly heating and cooling, by providing considerable energy saving without completely blocking the daylight. However, the conventional shading device types in real world applications and even the ones presented in the literature stick to non-amorphous shapes providing limited improvement of the energy performance with negligible rates. Considering the lack of amorphous solutions in the literature, we propose novel design alternatives of energy-efficient shading device with panels in amorphous forms generated by parametric modeling and performance evaluation-based optimization in contrast with the conventionally designed structures. Initially, a performance evaluation-based optimization model was developed by employing evolutionary multi-objective optimization algorithms to overcome the complexity of the design process. Moreover, minimization of TEC (Total Energy Consumption) and maximization of the UDI (Useful Daylight Illuminance) are defined as the main objective functions to be optimized by non-dominated sorting genetic algorithm (NSGA II) and self-adaptive continuous genetic algorithm with differential evolution (JcGA-DE) in the shading model. According to the numerical results of the annual energy consumption, we managed to reach considerable energy saving up to 14%, while keeping the daylight availability above 50%.en_US
dc.description.sponsorshipSPEV project "Smart Solutions in Ubiquitous Computing Environments", University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic [UHK-FIM-SPEV-2019]en_US
dc.description.sponsorshipThe work and the contribution were supported by the SPEV project "Smart Solutions in Ubiquitous Computing Environments", University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic (under ID: UHK-FIM-SPEV-2019).en_US
dc.identifier.citationKirimtat, A., Krejcar, O., Ekici, B., & Tasgetiren, M. F. (2019). Multi-objective energy and daylight optimization of amorphous shading devices in buildings. Solar Energy, 185, 100-111.en_US
dc.identifier.doi10.1016/j.solener.2019.04.048en_US
dc.identifier.endpage111en_US
dc.identifier.issn0038-092Xen_US
dc.identifier.scopus2-s2.0-85064459340en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage100en_US
dc.identifier.urihttps://doi.org/10.1016/j.solener.2019.04.048
dc.identifier.urihttps://hdl.handle.net/20.500.12713/619
dc.identifier.volume185en_US
dc.identifier.wosWOS:000471087200010en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTaşgetiren, Mehmet Fatihen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofSolar Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectShading Deviceen_US
dc.subjectEnergyen_US
dc.subjectDaylighten_US
dc.subjectMulti-Objective Optimizationen_US
dc.titleMulti-objective energy and daylight optimization of amorphous shading devices in buildingsen_US
dc.typeArticleen_US

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