کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1731776 1016097 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved modelling of thermal energy savings potential in the existing residential stock using a newly available data source
ترجمه فارسی عنوان
مدلسازی بهبود پتانسیل صرفه جویی در انرژی حرارتی موجود در خانه های مسکونی موجود با استفاده از یک منبع داده جدید که در دسترس است
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• Archetype model of energy savings potential from retrofit of existing dwelling stock.
• Takes advantage of rich dataset on the construction characteristics of the Irish housing stock.
• Innovative use of wall construction types in archetype definition possible due to improved data.
• Results calibrated to top down estimate of heating demand by adjusting internal temperature.
• Highlights limitations on the accuracy and sophistication of models posed by data availability.

This paper presents a novel bottom up approach to modelling the energy savings potential of energy efficiency improvement measures to be applied through retrofit of the existing dwelling stock. It takes advantage of a newly available, rich dataset on the construction characteristics of the 2011 housing stock in Ireland. The methodological innovation centres on the use of wall construction type in the modelling and analysis. While Ireland is the focus, this approach is applicable to any EU member state for which data on dwelling characteristics exists from surveys carried as part of Energy Performance Certificate calculations. The model is calibrated to the national energy balance for 2011 by varying the internal temperature assumptions. Sensitivity analysis is performed on the effects of internal temperature and rebound. The paper also highlights some limitations posed by data availability on the accuracy and sophistication of models that can currently be developed, specifically in the Irish case.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 90, Part 1, October 2015, Pages 759–767
نویسندگان
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