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Simulation-Based Optimization of Smart Building Energy Using Artificial Neural Network

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Last updated: 04 Jan 2025

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Abstract

 
The present study aims to investigate the influence of the window size, the glazing properties and the shading overhang specifications on the energy consumption in smart buildings located in Alexandria, Egypt taking in account thermal and visual comfort. In this study, single objective and multi-objective optimizations are carried out on four objective functions, namely annual cooling, annual heating, annual lighting and annual total energy consumption using genetic algorithm. The simulations are performed using EnergyPlus through Openstudio to generate database that used to train an artificial neural network for the four objective functions. Results indicate the most significant factors are window wall ratio, glazing solar transmittance and glazing visible transmittance. Furthermore the increasing of window wall ratio and glazing solar transmittance produces an increase in cooling energy consumption and a decrease in heating energy consumption in addition window wall ratio and glazing visible transmittance have a high positive impact on lighting consumption in both cities. The multi objective optimization study is a powerful and useful tool that can save time while searching for the optimal solutions with conflicting objective functions.

DOI

10.21608/erj.2020.132132

Keywords

Surrogate-Based Optimization, Openstudio, MATLAB, artificial neural network, energy consumption

Authors

First Name

Mohammed

Last Name

Rashad

MiddleName

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Affiliation

Department of Mechanical Power Engineering, Faculty of Engineering at El-Mattaria, Helwan University,

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City

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First Name

Khairy

Last Name

Elsayed

MiddleName

-

Affiliation

Department of Mechanical Power Engineering, Faculty of Engineering at El-Mattaria, Helwan University,

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Orcid

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First Name

Momtaz

Last Name

Sedrak

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-

Affiliation

Department of Mechanical Power Engineering, Faculty of Engineering at El-Mattaria, Helwan University,

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Volume

165

Article Issue

0

Related Issue

19632

Issue Date

2020-03-01

Receive Date

2020-12-24

Publish Date

2020-03-01

Page Start

210

Page End

231

Print ISSN

1110-5615

Article File

ERJ_Volume 165_Issue 0_Pages 210-231.pdf

PDF . 811.3kB

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https://erj.journals.ekb.eg/article_132132.html

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https://erj.journals.ekb.eg/service?article_code=132132

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Original Article

Type Code

998

Publication Type

Journal

Publication Title

Engineering Research Journal

Publication Link

https://erj.journals.ekb.eg/

MainTitle

Simulation-Based Optimization of Smart Building Energy Using Artificial Neural Network

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Article

Created At

22 Jan 2023