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

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Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

Yes

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No
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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.

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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

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1

Source

2016 IEEE Congress on Evolutionary Computation CEC 2016

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Issue

Start Page

3895

End Page

3900
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Scopus : 2

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