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Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building

This paper presents a simulation study focused on optimizing user comfort and energy consumption in smart buildings. Managing energy efficiently in smart buildings poses a significant challenge. The aim of this research is to achieve a high level of occupant comfort while minimizing energy usage. Th...

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Main Authors: Mohd Herwan, Sulaiman, Zuriani, Mustaffa
Format: Article
Language:English
English
Published: Elsevier Ltd 2023
Subjects:
QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/40751/1/Using%20the%20evolutionary%20mating%20algorithm%20for%20optimizing%20the%20user%20comfort%20and%20energy%20consumption.pdf
http://umpir.ump.edu.my/id/eprint/40751/2/Using%20the%20evolutionary%20mating%20algorithm%20for%20optimizing%20the%20user%20comfort%20and%20energy%20consumption%20in%20smart%20building.pdf
http://umpir.ump.edu.my/id/eprint/40751/
https://doi.org/10.1016/j.jobe.2023.107139
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spelling my.ump.umpir.407512024-03-25T06:05:42Z http://umpir.ump.edu.my/id/eprint/40751/ Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building Mohd Herwan, Sulaiman Zuriani, Mustaffa QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering This paper presents a simulation study focused on optimizing user comfort and energy consumption in smart buildings. Managing energy efficiently in smart buildings poses a significant challenge. The aim of this research is to achieve a high level of occupant comfort while minimizing energy usage. The study considers three fundamental parameters for measuring user comfort: thermal comfort, visual comfort, and indoor air quality (IAQ). Data from temperature, illumination, and CO2 sensors are collected to assess the indoor environment. Based on this information, smart building systems can dynamically adjust heating, cooling, lighting, and ventilation to optimize energy usage and ensure occupant comfort. To address the optimization problem, the Evolutionary Mating Algorithm (EMA) is proposed. EMA belongs to the evolutionary computation group of nature-inspired metaheuristic algorithms and offers a promising solution. A comparative analysis is conducted with other well-known algorithms such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Biogeography-Based Optimization (BBO), Teaching-Learning Based Optimization (TLBO), and Beluga Whale Optimization (BWO). The findings demonstrate the effectiveness of EMA in achieving optimum comfort with minimal energy consumption in smart building systems. Elsevier Ltd 2023 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40751/1/Using%20the%20evolutionary%20mating%20algorithm%20for%20optimizing%20the%20user%20comfort%20and%20energy%20consumption.pdf pdf en http://umpir.ump.edu.my/id/eprint/40751/2/Using%20the%20evolutionary%20mating%20algorithm%20for%20optimizing%20the%20user%20comfort%20and%20energy%20consumption%20in%20smart%20building.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa (2023) Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building. Journal of Building Engineering, 76 (107139). pp. 1-14. ISSN 2352-7102. (Published) https://doi.org/10.1016/j.jobe.2023.107139 10.1016/j.jobe.2023.107139
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
description This paper presents a simulation study focused on optimizing user comfort and energy consumption in smart buildings. Managing energy efficiently in smart buildings poses a significant challenge. The aim of this research is to achieve a high level of occupant comfort while minimizing energy usage. The study considers three fundamental parameters for measuring user comfort: thermal comfort, visual comfort, and indoor air quality (IAQ). Data from temperature, illumination, and CO2 sensors are collected to assess the indoor environment. Based on this information, smart building systems can dynamically adjust heating, cooling, lighting, and ventilation to optimize energy usage and ensure occupant comfort. To address the optimization problem, the Evolutionary Mating Algorithm (EMA) is proposed. EMA belongs to the evolutionary computation group of nature-inspired metaheuristic algorithms and offers a promising solution. A comparative analysis is conducted with other well-known algorithms such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Biogeography-Based Optimization (BBO), Teaching-Learning Based Optimization (TLBO), and Beluga Whale Optimization (BWO). The findings demonstrate the effectiveness of EMA in achieving optimum comfort with minimal energy consumption in smart building systems.
format Article
author Mohd Herwan, Sulaiman
Zuriani, Mustaffa
author_facet Mohd Herwan, Sulaiman
Zuriani, Mustaffa
author_sort Mohd Herwan, Sulaiman
title Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
title_short Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
title_full Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
title_fullStr Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
title_full_unstemmed Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
title_sort using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
publisher Elsevier Ltd
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40751/1/Using%20the%20evolutionary%20mating%20algorithm%20for%20optimizing%20the%20user%20comfort%20and%20energy%20consumption.pdf
http://umpir.ump.edu.my/id/eprint/40751/2/Using%20the%20evolutionary%20mating%20algorithm%20for%20optimizing%20the%20user%20comfort%20and%20energy%20consumption%20in%20smart%20building.pdf
http://umpir.ump.edu.my/id/eprint/40751/
https://doi.org/10.1016/j.jobe.2023.107139
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score 13.232414

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