کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
262364 504029 2015 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new methodology for investigating the cost-optimality of energy retrofitting a building category
ترجمه فارسی عنوان
یک روش جدید برای بررسی هزینه بهینه از انرژی، یکپارچه سازی یک طبقه ساختمان
کلمات کلیدی
تکمیل انرژی، هزینه بهینه سازی، شبیه سازی عملکرد ساختمان، ساختمان انبار، رده ساختمان، تجزیه و تحلیل عدم قطعیت، تجزیه و تحلیل میزان حساسیت، ساختمان های اداری
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• The cost-optimal energy retrofit of a whole building stock is a complex task.
• A methodology is proposed for aiding cost-optimal retrofit of building categories.
• A representative building sample is studied instead of only one reference building.
• EnergyPlus and MATLAB® are used for large-scale uncertainty, sensitivity analyses.
• For demonstration, office buildings built in South Italy in 1920–1970 are examined.

According to the Energy Performance of Buildings Directive (EPBD) Recast, building energy retrofitting should aim “to achieving cost-optimal levels”. However, the detection of cost-optimal levels for an entire building stock is a complex task. This paper tackles such issue by introducing a novel methodology, aimed at supporting robust cost-optimal energy retrofit solutions for building categories. Since the members of one building category provide highly different energy performance, they cannot be correctly represented by only one reference design as stipulated by the EPBD Recast. Therefore, a representative building sample (RBS) is here used to consider potential variations in all parameters affecting energy performance. Simulation-based uncertainty analysis is employed to identify the optimal RBS size, followed by simulation-based sensitivity analysis to identify proper retrofit actions. Then post-processing is performed to investigate the cost-effectiveness of all possible retrofit packages including energy-efficient HVAC systems, renewables, and energy saving measures. The methodology is denoted as SLABE, ‘Simulation-based Large-scale uncertainty/sensitivity Analysis of Building Energy performance’. It employs EnergyPlus and MATLAB®. For demonstration, SLABE is applied to office buildings built in South Italy during 1920–1970. The results show that the cost-optimal retrofit package includes the installation of condensing gas boiler, water-cooled chiller and full-roof photovoltaic system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 107, 15 November 2015, Pages 456–478
نویسندگان
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