دانلود مقاله ISI انگلیسی شماره 92507
ترجمه فارسی عنوان مقاله

سیستم مدیریت انرژی وابسته به مصرف کننده برای کاهش هزینه و تاثیر کربن در ساختمان های هوشمند

عنوان انگلیسی
New consumer-dependent energy management system to reduce cost and carbon impact in smart buildings
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
92507 2018 14 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Sustainable Cities and Society, Volume 39, May 2018, Pages 740-750

ترجمه کلمات کلیدی
سیستم مدیریت انرژی، ریزشبکه، مدیریت ذخیره انرژی کمینه سازی هزینه، کمینه سازی کربن، برنامه ریزی خطی ساختمان های هوشمند،
کلمات کلیدی انگلیسی
Energy management system; Microgrid; Energy storage management; Cost minimization; Carbon minimization; Linear programing; Smart buildings;
پیش نمایش مقاله
پیش نمایش مقاله  سیستم مدیریت انرژی وابسته به مصرف کننده برای کاهش هزینه و تاثیر کربن در ساختمان های هوشمند

چکیده انگلیسی

Buildings represent one of the most important energy consumers (about 40% and 55% of total U.S. and European energy consumption, respectively) and are regarded as non-negligible greenhouse gases emitters (39% of total greenhouse gases emission in U.S.). Hence, it becomes crucial to control buildings energy consumption in order to preserve energy resources and reduce greenhouse gases. For this reason, we propose in this paper a real time Consumer-Dependent Energy Management System (CD-EMS) in MicroGrids (i.e. a restricted form of the power grid) for smart buildings. The main new idea is to find a trade-off between the energy cost, either renewable or non-renewable, and its carbon impact. The other innovation is to transform the building manager to a Consum-Actor who participates directly on reducing greenhouse gas emission by fixing a consumer’s acceptability margin that allows buying renewable energy, even if it is a little more expensive than non-renewable one. CD-EMS offers the best compromise between decreasing energy cost and reducing gas emissions. The problem is modeled as a linear program, resolved by Matlab, and implemented in a small-scale datacenter building prototype. The obtained results show a noticeable improvement in terms of cost and carbon impact where we prove that our system is able to reduce cost until 7.3%, and CO2 emission until 55.7%.