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用于评估建筑热系统的动态框架中的高级㶲分析

Advanced Exergy Analysis in the Dynamic Framework for Assessing Building Thermal Systems.

作者信息

Picallo-Perez Ana, Sala José M, Tsatsaronis George, Sayadi Saeed

机构信息

Research Group Energy in Buildings (ENEDI), Department of Thermal Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain.

Institute for Energy Engineering, Technische Universität Berlin, 10623 Berlin, Germany.

出版信息

Entropy (Basel). 2019 Dec 25;22(1):32. doi: 10.3390/e22010032.

Abstract

This work applies the Dynamic Advanced Exergy Analysis (DAEA) to a heating and domestic hot water (DHW) facility supplied by a Stirling engine and a condensing boiler. For the first time, an advanced exergy analysis using dynamic conditions is applied to a building energy system. DAEA provides insights on the components' exergy destruction (ED) by distinguishing the inefficiencies that can be prevented by improving the quality (avoidable ED) and the ones constrained because of technical limitations (unavoidable ED). ED is related to the inherent inefficiencies of the considered element (endogenous ED) and those coming from the interconnections (exogenous ED). That information cannot be obtained by any other approach. A dynamic calculation within the experimental facility has been performed after a component characterization driven by a new grey-box modelling technique, through TRNSYS and MATLAB. Novel solutions and terms of ED are assessed for the rational implementation of the DAEA in building energy installations. The influence of each component and their interconnections are valuated in terms of exergy destruction for further diagnosis and optimization purposes.

摘要

本工作将动态高级火用分析(DAEA)应用于由斯特林发动机和冷凝锅炉提供热源的供暖及生活热水(DHW)设施。首次将基于动态条件的高级火用分析应用于建筑能源系统。DAEA通过区分可通过提高品质避免的低效率(可避免火用损)和因技术限制而受限的低效率(不可避免火用损),来深入了解各组件的火用损(ED)情况。火用损与所考虑元件的固有低效率(内生火用损)以及来自相互连接的低效率(外生火用损)相关。这些信息无法通过任何其他方法获得。在由一种新的灰箱建模技术驱动进行组件特性描述之后,通过TRNSYS和MATLAB在实验设施内进行了动态计算。评估了新型解决方案和火用损项,以便在建筑能源装置中合理实施DAEA。从火用损角度评估每个组件及其相互连接的影响,以用于进一步诊断和优化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c77/7516454/f0487aa4e54d/entropy-22-00032-g001.jpg

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