Aydin, Elif Esra

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/13004
Name Variants
Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.10.02. Mimarlık Bölümü
Status
Former Staff
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Scopus Author ID
59435372900
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Google Scholar ID
WoS Researcher ID
GYV-6539-2022

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10

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2

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7

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WoS Citations per Publication

3.50

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0.00

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JournalCount
49th International Conference of the Architectural-Science-Association1
CESB 2016 - Central Europe Towards Sustainable Building 2016: Innovations for Sustainable Future -- Central Europe Towards Sustainable Building 2016: Innovations for Sustainable Future, CESB 2016 -- 22 June 2016 through 24 June 2016 -- Prague -- 1230061
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Now showing 1 - 2 of 2
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    Conference Object
    A Comparison between Building Energy Simulation and Measurement Results for a Municipality Building
    (Grada Publishing, 2016) Aydin, Elif Esra; Kaya, Hande Odaman; Kahraman, Ilker
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    Conference Object
    Citation - WoS: 7
    Optimisation of energy consumption and daylighting using building performance surrogate model
    (UNIV MELBOURNE, 2015) Elif Esra Aydin; Onur Dursun; Ioannis Chatzikonstantinou; Berk Ekici; Ekici, Berk; Chatzikonstantinou, Ioannis; Aydin, Elif Esra; Dursun, Onur; RH Crawford; A Stephan
    Today the architects are expected to identify solutions that provide best trade-offs among an excessively large number of possible design alternatives. Within this context computational intelligence techniques prove to be valuable decision support tools. In parallel to this agenda the current study aimed to present a novel approach towards identifying non-dominated design solutions that minimize annual building energy consumption and improve indoor daylight conditions. We applied the method to an L plan shaped office design. In this hypothetical building design parameters of footprint area number of levels fenestration shading U-Values of building elements and HVAC system selection were set as variables, whereas total floor area and floor height were kept as constants in order to facilitate further practical relevance. A total of 105 simulations were performed for various values of the parameters. The resulting dataset was used to obtain two approximation models for each of the objective functions. A Multi-Objective Evolutionary Algorithm was subsequently used to obtain the set of non-dominated solutions for the problem. Our results indicated the applicability of the proposed approach for decision-making practices at the conceptual design phase of relevant cases.