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.author.wosid | Dursun, Onur/AAJ-5375-2020 | |
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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 | |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.identifier.openalex | W2559345336 | |
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| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
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| gdc.virtual.author | Dursun, Onur | |
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| person.identifier.orcid | Dursun- Onur/0000-0002-5787-162X, | |
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