کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7048196 1457127 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-objective optimization of the renewable energy mix for a building
ترجمه فارسی عنوان
بهینه سازی چند هدف از ترکیب انرژی تجدید پذیر برای یک ساختمان
کلمات کلیدی
سیستم های انرژی تجدید پذیر، شبیه سازی گذار ساختمان، تجزیه و تحلیل هزینه-مطلوب، بهینه سازی چند هدفه، الگوریتم ژنتیک، عملکرد انرژی ساختمان،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی جریان سیال و فرایندهای انتقال
چکیده انگلیسی
According to the increasing worldwide attention to energy and environmental performances of the building sector, the exploitation of renewable energy sources (RESs) represents a key strategy toward sustainable buildings. However, which is the 'best' mix of RES systems in new or existing buildings? This paper proposes a novel methodology, aimed to optimize the design of the mix of renewable energy systems for the integration of building energy demand in terms of energy uses for space heating/cooling, domestic hot water and electric devices. More in detail, a multi-objective optimization is performed by considering two contrasting objectives to be minimized: primary energy demand and investment cost. The global cost is investigated too, as further criterion, in order to detect the cost-optimal solution. Moreover, the fulfillment of the minimum levels of RES integration - as provided by Italian regulations - is taken into account as constraint. The optimization procedure is based on a genetic algorithm, which is performed by employing EnergyPlus and MATLAB®. As case study, the methodology is applied in order to optimize the renewable energy mix for a typical new Italian residential building, located in Naples (Mediterranean area). Thermal solar systems, photovoltaic panels and efficient heat pumps are investigated as RES systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 101, 25 May 2016, Pages 612-621
نویسندگان
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