مدیریت هوشمند انرژی: بهینه‌سازی پنل‌های خورشیدی با قیمت‌گذاری زمان واقعی در ساختمان‌های مسکونی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد مهندسی سیستم‌های انرژی، دانشکدۀ مهندسی انرژی و منابع پایدار، دانشکدگان علوم و فناوری‌های میان‌رشته‌ای، دانشگاه تهران، تهران، ایران

2 استادیار گروه مهندسی سیستم‌های انرژی پایدار، دانشکدۀ مهندسی انرژی و منابع پایدار، دانشکدگان علوم و فناوری‌های میان‌رشته‌ای، دانشگاه تهران، تهران، ایران

10.22059/ses.2025.390057.1122

چکیده

در سال‌های اخیر، استفاده از منابع تجدیدپذیر، به‌ویژه پنل‌های خورشیدی، به‌ عنوان راهکاری مؤثر برای کاهش آلودگی زیست‌محیطی و تلفات در شبکه‌های انتقال و توزیع برق، مورد توجه قرار گرفته است. این منابع انرژی نه‌تنها به بهبود شرایط زیست‌محیطی کمک می‌کنند، بلکه با کاهش هزینه‌های برق مصرفی در ساختمان‌ها، به بهبود کیفیت زندگی نیز می‌انجامند. در این مطالعه، به منظور مدیریت بهینۀ توان تولیدی پنل‌های خورشیدی و کاهش هزینه‌ها، از الگوریتم بهینه‌سازی ازدحام ذرات بهره گرفته شده است. نتایج شبیه‌سازی نشان می‌دهند پنل خورشیدی با ظرفیت 100 کیلووات در ساعت 11 صبح، 80 کیلووات توان تولید می‌کند و میانگین توان مصرفی روزانه برابر با 9/22 کیلووات ساعت بوده است. همچنین، سیستم توانسته است 8614 کیلووات ساعت انرژی سالانه تولید کند. با در نظر گرفتن قیمت‌گذاری مبتنی بر زمان استفاده و استفاده از الگوریتم ازدحام ذرات، هزینه‌های برق مصرفی به صفر کاهش یافته و امکان فروش برق تولیدی نیز فراهم شده که نشان‌دهندۀ کارایی بالای سیستم در شرایط مختلف است. این پژوهش می‌تواند راهگشای مدیران و سیاست‌گذاران در راستای استفادۀ بهینه از منابع تجدیدپذیر و کاهش هزینه‌های انرژی باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Smart Energy Management: Optimization of Solar Panels with Time-of-Use Pricing in Residential Buildings

نویسندگان [English]

  • Seyed Mostafa Mousavi 1
  • Ali Roghani Araghi 2
1 M.Sc. Student, School of Energy Engineering and Sustainable Resources, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Iran
2 Assistant Professor, School of Energy Engineering and Sustainable Resources, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Iran
چکیده [English]

In recent years, the use of renewable energy sources, particularly solar panels, has gained attention as an effective solution for reducing environmental pollution and transmission and distribution network losses. These energy sources not only contribute to improving environmental conditions but also enhance the quality of life by reducing electricity costs in buildings. In this study, a particle swarm optimization algorithm has been employed to optimize the power generation of solar panels and reduce costs. Simulation results indicate that a 100 kW solar panel generates 80 kW of power at 11 a.m., with an average daily power consumption of 22.9 kWh. Moreover, the system has been able to generate 8,614 kWh of energy annually. Considering time-of-use pricing and utilizing the particle swarm optimization algorithm, electricity consumption costs have been reduced to zero, and the possibility of selling the generated electricity has been enabled, demonstrating the system’s high efficiency under various conditions. This research can serve as a valuable guide for managers and policymakers in optimizing the use of renewable resources and reducing energy costs.

کلیدواژه‌ها [English]

  • Energy consumption optimization
  • solar panels
  • sustainable energy
  • residential buildings
  • TOU

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فصلنامه سیستم های انرژی پایدار
دوره 4، شماره 2
فروردین 1404
صفحه 157-173

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