Optimizing natural ventilation strategy in existing buildings using differential evolution: Case of architectural studio classrooms
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Date
2016
Authors
Damla Elbi
Huma Fulya Ekim
Onur Dursun
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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. © 2017 Elsevier B.V. All rights reserved.
Description
Keywords
Architectural Studios, Differential Evolution, Energy, Existing Buildings, Natural Ventilation, Simulation, Air Intakes, Architecture, Energy Utilization, Evolutionary Algorithms, Neonatal Monitoring, Optimization, Studios, Differential Evolution, Energy, Healthy Indoor Environments, Heating Energy Consumption, Mathematical Expressions, Natural Ventilation, Simulation, Ventilation Strategy, Ventilation, Air intakes, Architecture, Energy utilization, Evolutionary algorithms, Neonatal monitoring, Optimization, Studios, Differential Evolution, Energy, Healthy indoor environments, Heating energy consumption, Mathematical expressions, Natural ventilation, Simulation, Ventilation strategy, Ventilation
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
1
Source
2016 IEEE Congress on Evolutionary Computation CEC 2016
Volume
Issue
Start Page
3895
End Page
3900
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Citations
Scopus : 2
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Mendeley Readers : 7
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