طراحی سیستم کنترل هوشمند جدید جهت تهویه هوای ساختمان‌ به منظور کاهش اتلاف انرژی

محورهای موضوعی : انرژی های تجدید پذیر

جعفر طاوسی ¹ , مجید ولیزاده ²

1 - استادیار، دانشکده فنی و مهندسی، دانشگاه ایلام، ایلام، ایران. *(مسوول مکاتبات)
2 - استادیار، دانشکده فنی و مهندسی، دانشگاه ایلام، ایلام، ایران

تاریخ دریافت : 1398/09/02 تاریخ پذیرش : 1399/05/05 تاریخ انتشار : 1400/06/01

کلید واژه: کاهش اتلاف انرژی, کنترل هوشمند, فن‌کویل آب-خنک,

چکیده مقاله :

زمینه و هدف: امروزه به دلیل رشد جمعیت، نیاز روزافزون بشر و افزایش دمای سالیانه کره زمین، مصرف انرژی همواره روبه افزیش است. یکی از مصرف کنندگان عمده انرژی، ساختمان های با زیربنای بالای 2000 مترمربع هستند. بنابراین کاهش مصرف انرژی در ساختمان‌ها بایستی بسیار مورد توجه قرار گیرد. به عبارت دیگر، هدف از این مقاله کنترل سیستم سرمایش در تابستان و کنترل سیستم گرمایش در زمستان است به نحوی که وضعیت دما و رطوبت کنونی اتاق در نظر گرفته شود و جهت اینکار از منطق فازی استفاده می شود.روش بررسی: در این تحقیق، کنترل منطق فازی برای سیستم تهویه هوای ساختمان جهت افزایش بازده انرژی و تامین محیط راحت بررسی شده است. یک مدل تئوریک از واحد فن‌کویل[1] و انتقال حرارت بین هوا و سیال خنک‌کننده استخراج می گردد. متغیرهای کنترلی، دمای اتاق و رطوبت نسبی و نتایج کنترلی، درصد نرخ جریان آب خنک و گرم شده در تابستان و درصد نرخ جریان آب داغ و بخار تزریقی در زمستان هستند.یافته ها: در این پژوهش متوجه شدیم که با استفاده از کنترل کننده هوشمند و منطبق بر سیستم فازی، می توان تا بالای 90% از اتلاف انرژی جلوگیری کرد.بحث و نتیجه گیری: نتایج کنترل فازی با کنترل متداول تناسبی-انتگرال‌گیر-مشتق‌گیر[2] مقایسه می گردد. ثابت می شود که کنترل‌کننده‌ی فازی کارایی بیشتری داشته و موجب مصرف انرژی کمتری در مقایسه با کنترل PID است.[1]- Fan Coil Unit (FCU)[2]- Proportional Integral Derivative (PID)

چکیده انگلیسی:

Background and Objective: Today, energy consumption is on the rise due to population growth, growing human needs, and rising global temperatures. One of the major consumers of energy is buildings with an infrastructure of more than 2,000 square meters. Therefore, reducing energy consumption in buildings should be given much attention. In other words, the purpose of this paper is to control the cooling system in summer and to control the heating system in winter so that the current temperature and humidity of the room are taken into account.Material and Methodology:In this study, fuzzy logic control for building air conditioning system to increase energy efficiency and provide a comfortable environment has been investigated. A theoretical model is extracted from the fan coil unit and the heat transfer between the air and the cooling fluid. The control variables are room temperature and relative humidity and control results, the percentage of cooled and heated water flow rate in summer and the percentage of hot water flow rate and injection steam in winter.Findings: In this study, we found that by using an intelligent controller and compatible with the fuzzy system, up to 90% of energy loss can be prevented.Discussion and Conclusion: Fuzzy control results are compared with conventional proportional-integral-derivative control. Fuzzy controllers are proven to be more efficient and consume less energy than PID controls.

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