| کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن | 
|---|---|---|---|---|
| 4916413 | 1428098 | 2017 | 26 صفحه PDF | دانلود رایگان | 
عنوان انگلیسی مقاله ISI
												ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation
												
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																																												کلمات کلیدی
												
											موضوعات مرتبط
												
													مهندسی و علوم پایه
													مهندسی انرژی
													مهندسی انرژی و فناوری های برق
												
											پیش نمایش صفحه اول مقاله
												
												چکیده انگلیسی
												Energy simulation tools have a major role in the assessment of building energy retrofit (BER) measures. Exergoeconomic analysis and optimisation is a common practice in sectors such as the power generation and chemical processes, aiding engineers to obtain more energy-efficient and cost-effective energy systems designs. ExRET-Opt, a retrofit-oriented modular-based dynamic simulation framework has been developed by embedding a comprehensive exergy/exergoeconomic calculation method into a typical open-source building energy simulation tool (EnergyPlus). The aim of this paper is to show the decomposition of ExRET-Opt by presenting modules, submodules and subroutines used for the framework's development as well as verify the outputs with existing research data. In addition, the possibility to perform multi-objective optimisation analysis based on genetic-algorithms combined with multi-criteria decision making methods was included within the simulation framework. This addition could potentiate BER design teams to perform quick exergy/exergoeconomic optimisation, in order to find opportunities for thermodynamic improvements along the building's active and passive energy systems. The enhanced simulation framework is tested using a primary school building as a case study. Results demonstrate that the proposed simulation framework provide users with thermodynamic efficient and cost-effective designs, even under tight thermodynamic and economic constraints, suggesting its use in everyday BER practice.
											ناشر
												Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 192, 15 April 2017, Pages 33-58
											Journal: Applied Energy - Volume 192, 15 April 2017, Pages 33-58
نویسندگان
												Iván GarcÃa Kerdan, Rokia Raslan, Paul Ruyssevelt, David Morillón Gálvez,