بهینه‌سازی مصرف انرژی ساختمان با استفاده از الگوریتم بهینه‌سازی ازدحام ذرات تک و چند هدفه و ژنتیک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مهندسی سیستمهای انرژی، دانشکدۀ علوم و فنون نوین دانشگاه تهران

2 کارشناسی ارشد مهندسی کامپیوتر، دانشکدۀ مهندسی کامپیوتر، دانشگاه آزاد اسلامی واحد لاهیجان

3 استادیار گروه مهندسی سیستمهای انرژی، دانشگاه علم و صنعت تهران

10.22059/ses.2022.90568

چکیده

از آنجا که بخش قابل توجهی از انرژی مصرفی در سراسر جهان به مصرف انرژی در ساختمان مربوط می‌شود، در حال حاضر بهینه‌سازی انرژی ساختمان با وجود محدودیت‌ها و با توجه به حفظ محیط زیست زمین بسیار حایز اهمیت است. این مقاله به محدودیت‌های مهم برای بهینه‌سازی عملکرد انرژی ساختمان با استفاده از الگوریتم بهینه‌سازی ازدحام ذرات تک و چند هدفه و الگوریتم ژنتیک با نرم‌افزار شبیه‌سازی انرژی ساختمان انرژی پلاس و  MATLABبه بررسی داده‌های آب‌و‌هوای مختلف چند شهر ایران با در نظر گرفتن مدل تک‌اتاقی و تأثیر پارامترهای معماری ساختمان از جمله جهت‌گیری ساختمان، مشخصات سایه‌بان، اندازۀ پنجره، و لعاب و مصالح دیوار اعمال و... می‌پردازد. همچنین در بخش بهینه‌سازی، تحلیل‌های الگوریتم بهینه‌سازی ازدحام ذرات تک و چند هدفه و ژنتیک مصرف برق سالانۀ سرمایش، گرمایش و روشنایی برای درک تعاملات بین توابع هدف و به حداقل رساندن کل تقاضای انرژی سالانۀ ساختمان مورد بررسی قرار گرفته که راه‌حل‌های بهینۀ به‌دست‌آمده به عنوان جبهۀ بهینۀ پارتو در نظر گرفته می‌شود. نتایج برای مدل این تحقیق، مصرف برق سرمایشی سالانه حدود 8/19 تا 3/33 درصد کاهش و گرمایش و روشنایی سالانه به‌ترتیب 7/1 تا 8/4 درصد و 5/0 تا 6/2 درصد در مقایسه با مدل‌های دیگر افزایش داده شده است که منجر به کاهش بهینۀ 6/1 تا 3/11 درصد از کل تقاضای برق سالانۀ ساختمان می‌شود. علاوه بر این، استفاده از دو روش یادشده منجر به یک سیستم انرژی، بهینه، کارآمد و افزایش بهره‌وری انرژی در مراحل اولیۀ طراحی ساختمان می‌شود.

کلیدواژه‌ها

عنوان مقاله [English]

Optimization of building energy consumption using single and multi-objective particle swarm optimization and genetics algorithms

نویسندگان [English]

  • Rahim Zahedi 1
  • Zahra Moradi Pour 2
  • Abolfazl Ahmadi 3
1 PhD Candidate, Energy Systems Engineering, Faculty of New sciences and Technologies, University of Tehran, Tehran, Iran
2 MSc in Computer Engineering, Department of Computer Engineering, Islamic Azad University, Lahijan, Iran
3 Asistant Professor, Department of Energy Systems Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده [English]

Since significant energy consumption worldwide is related to building energy, building energy optimization is currently very important despite the limitations and due to the preservation of the earth's environment. This paper addresses the important limitations for optimizing building energy performance using single and multi-objective particle swarm optimization (MOPSO) and genetics (NSGA-II) algorithms with EnergyPlus and MATLAB building energy simulation software to examine different weather data of several cities in Iran with considering the one-room model offers with the effect of building architectural parameters. Also in the optimization section, the annual electricity consumption of cooling, heating, and lighting to understand the interactions between the target functions and minimize the total annual energy demand of the building is examined, and the results obtained, the annual cooling electricity consumption is reduced by 19.8-33.3% and the annual heating and lighting Respectively increased by 1.7-4.8% and 0.5-2.6% compared to other models, which leads to an optimal reduction of 1.6-11.3% of the total annual electricity demand of the building.

کلیدواژه‌ها [English]

  • Building Energy
  • Genetic Algorithm (NSGA-II)
  • Optimal
  • Single
  • Multipurpose Particle Swarm Optimization Algorithm (MOPSO)

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فصلنامه سیستم های انرژی پایدار
دوره 1، شماره 2
فروردین 1401
صفحه 111-129

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