Optimizing Natural Ventilation Strategy in Existing Buildings using Differential Evolution Case of Architectural Studio Classrooms

dc.contributor.author Damla Elbi
dc.contributor.author Huma Fulya Ekim
dc.contributor.author Onur Dursun
dc.contributor.author Ekim, Huma Fulya
dc.contributor.author Elbi, Damla
dc.contributor.author Dursun, Onur
dc.coverage.spatial Vancouver CANADA
dc.date.accessioned 2025-10-06T16:19:34Z
dc.date.issued 2016
dc.description.abstract Natural ventilation plays a vital role towards provision of healthy indoor environment condition for occupants in a building. Yet particularly in winter providing sufficient level of fresh air to indoor environment causes a significant increase in heating energy consumption. To this end the current study aims to propose an optimum natural ventilation strategy while minimizing heating energy consumption and ventilation time which are constrained by minimum allowable fresh air intake. To demonstrate we considered an actual case for the problem at hand which is an architectural studio classroom located in Yasar University Turkey. Next the problem was mathematically formulated using basic physical rules. Comparing results between energy simulation of the considered case and formulated problem accuracy of mathematical expressions was verified. Following we made use of differential evolution ( DE) to find the non-dominated set of natural ventilation strategy. The results suggests that DE is able to converge a set of optimum ventilation strategies after adequate number of generations.
dc.description.sponsorship IEEE Computational Intelligence Society (CIS)
dc.identifier.doi 10.1109/CEC.2016.7744283
dc.identifier.isbn 978-1-5090-0622-9
dc.identifier.isbn 9781509006229
dc.identifier.scopus 2-s2.0-85008262530
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/5893
dc.identifier.uri https://doi.org/10.1109/CEC.2016.7744283
dc.language.iso English
dc.publisher IEEE
dc.relation.ispartof IEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)
dc.relation.ispartofseries IEEE Congress on Evolutionary Computation
dc.rights info:eu-repo/semantics/closedAccess
dc.source 2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
dc.subject differential evolution, natural ventilation, energy, simulation, existing buildings, architectural studios
dc.subject OPTIMIZATION, OPENINGS
dc.subject Differential Evolution
dc.subject Natural Ventilation
dc.subject Architectural Studios
dc.subject Existing Buildings
dc.subject Simulation
dc.subject Energy
dc.title Optimizing Natural Ventilation Strategy in Existing Buildings using Differential Evolution Case of Architectural Studio Classrooms
dc.type Conference Object
dspace.entity.type Publication
gdc.author.id Dursun, Onur/0000-0002-5787-162X
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gdc.description.department
gdc.description.departmenttemp [Elbi, Damla; Ekim, Huma Fulya; Dursun, Onur] Yasar Univ, Dept Architecture, Izmir, Turkey
gdc.description.endpage 3900
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 3895
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