ارزیابی سیستماتیک علم‌سنجی در روش‌های بهینه‌سازی انرژی در ساختمان

دوره 22، شماره 142
فروردین 1404
صفحه 41-56

نوع مقاله : مقالۀ پژوهشی

نویسندگان

گروه معماری، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران.

چکیده
بیان‌مسئله: با افزایش نگرانی‌های زیست‌محیطی و ضرورت کاهش مصرف انرژی، استفاده از روش‌های بهینه‌سازی برای بهبود عملکرد ساختمان‌ها گسترش یافته است. ازآنجاکه ساختمان‌ها یکی از بزرگ‌ترین مصرف‌کنندگان انرژی و تولیدکنندگان گازهای گلخانه‌ای هستند، ارتقای بهره‌وری انرژی در آن‌ها تأثیر زیادی در کاهش آلاینده‌ها و هزینه‌ها دارد. این پژوهش با بررسی روش‌های بهینه‌سازی مختلف، ازجمله الگوریتم‌های ژنتیک و بهینه‌سازی ازدحام ذرات، به تحلیل روندها و شناسایی روش‌های مؤثر در بهبود عملکرد انرژی ساختمان‌ها می‌پردازد و به‌دنبال پاسخ به این پرسش است که کدام یک از روش‌های بهینه‌سازی، نقش مؤثرتری در شبیه‌سازی انرژی ساختمان‌ها دارند و توزیع و روند استفاده از این روش‌ها در پژوهش‌های علمی چگونه است؟
هدف پژوهش: این پژوهش در پی شناسایی و تحلیل روش‌های بهینه‌سازی پرکاربرد و مؤثر در بهبود عملکرد انرژی ساختمان‌هاست و توزیع و میزان استفاده از این روش‌ها را در مقالات علمی بررسی کرده و به‌دنبال شناسایی روندهای موجود و سهم هر روش در بهینه‌سازی مصرف انرژی و دیگر جنبه‌های عملکردی ساختمان‌هاست.
روش پژوهش: در چهارچوب مرور سیستماتیک و با هدف شناسایی دقیق روش‌های بهینه‌سازی در حوزۀ انرژی ساختمان‌ها، ابتدا جست‌وجوی هدفمند در پایگاه‌های دادۀ معتبر داخلی و خارجی با استفاده از کلمات کلیدی مرتبط انجام شد. پس از مرحلۀ پالایش اولیه و انتخاب منابع مرتبط، تحلیل داده‌ها با نرم‌افزار VOS Viewer و بیبلومتریک برای استخراج ارتباطات میان متون علمی صورت گرفت. سپس، با بهره‌گیری از تحلیل مضمون مدل مفهومی از روش‌های بهینه‌سازی مؤثر در بهبود عملکرد ساختمان‌ها تدوین شد تا به درکی جامع از کاربرد و تأثیر این روش‌ها دست یابد.
نتیجه‌گیری: روش‌های بهینه‌سازی، به‌ویژه الگوریتم‌های ژنتیک و هوش ازدحامی، نقشی حیاتی در ارتقای عملکرد انرژی ساختمان‌ها دارند و با تحلیل جامع روندهای موجود، بر لزوم ادغام داده‌های واقعی و تکنیک‌های هوشمند برای توسعۀ راه‌حل‌های کارآمدتر تأکید می‌شود.

کلیدواژه‌ها

عنوان مقاله English

A Systematic Bibliometric Analysis of Energy Optimization Methods in Buildings

نویسندگان English

Parisa Javid
Niloufar Nikghadam
Alireza Karimpour
Zhaleh Sabernezhad
Department of Architecture, Tehran South Branch, Islamic Azad University, Tehran, Iran.
چکیده English

Problem statement: With increasing environmental concerns and the need to reduce energy consumption, the use of optimization methods for improving building performance has expanded. Since buildings are among the largest energy consumers and greenhouse gas emitters, enhancing their energy efficiency can significantly reduce pollutants and costs. This study examines various optimization methods, including Genetic Algorithms and Particle Swarm Optimization, to analyze trends and identify effective techniques for improving building energy performance. Which optimization methods play a more effective role in building energy simulation, and how are these methods distributed and utilized in Bibliometric research?
Research objective: This study aims to identify and analyze widely used and effective optimization methods for improving building energy performance. The present study examines the distribution and frequency of these methods in Bibliometric articles and seeks to identify existing trends and the contribution of each approach to optimizing energy consumption and other aspects of building performance.
Research method: Within the framework of a systematic review and to accurately identify optimization methods in building energy, a targeted search was conducted in reputable national and international databases using relevant keywords. After an initial screening and selection of related sources, data analysis was performed using VOS Viewer and bibliometric techniques to extract connections among Bibliometric texts. A conceptual model of effective optimization methods for improving building performance was developed, leading to a comprehensive understanding of their application and impact.
Conclusion: Optimization methods, particularly Genetic Algorithms and Swarm Intelligence, are crucial in enhancing building energy performance. A comprehensive analysis of current trends underscores the necessity of integrating real-world data and intelligent techniques to develop more efficient solutions.

کلیدواژه‌ها English

  • Energy Optimization
  • Genetic Algorithms
  • Bibliometric Analysis
  • Energy Efficiency
  • Building Energy Consumption
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