کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5105879 1481253 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The role of an exergy-based building stock model for exploration of future decarbonisation scenarios and policy making
ترجمه فارسی عنوان
نقش یک مدل سهامی مبتنی بر اگزرژی برای کشف سناریوهای اتخاذ تصمیم گیری در آینده و سیاست گذاری
کلمات کلیدی
حفاظت انرژی، اگزرژی، مدل سهام، سناریوهای مجدد غیر داخلی، ساختمان های کم اجرایی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
State-of-the-art research suggests that energy systems are best evaluated using exergy analysis, as exergy represents the real value of an energy source, demonstrating it to be the only rational basis for evaluation. After discovering the lack of thermodynamic integration into stock modelling, this paper presents the development of an exergy-based building stock model. The aim of this paper is twofold. Firstly, to investigate the impact of large-scale future energy retrofit scenarios in the English and Welsh (E&W) non-domestic sector, and secondly, to determine the potential of exergy analysis in improving sectoral efficiency and its potential implications on exergy-oriented policy making. The research explores seven different large-scale future retrofit scenarios that encompass typical, low-carbon, and low-exergy approaches. Modelling results show that by 2050, current regulations have the potential to reduce carbon emissions by up to 49.0±2.9% and increasing sector thermodynamic efficiency from 10.7% to 13.7%. On the other hand, a low-exergy oriented scenario based on renewable electricity and heat pumps is able to reduce carbon emissions by 88.2±2.4%, achieving a sectoral exergy efficiency of 19.8%. This modelling framework can provide energy policy makers with new insights on policy options based on exergy indicators and the assessment of their potential impact.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Policy - Volume 105, June 2017, Pages 467-483
نویسندگان
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