almbuild作为一个设计工具,用于分析居住者行为对能源建筑消耗的影响

J. Campana, G. Morini
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摘要

目前,设计人员可以使用一系列数值工具对建筑物进行动态能量模拟。然而,通常在这个软件中,乘员的行为被忽略或以一种简化的方式计算。这导致建筑物的预测和实际能源性能之间的性能差距。在本文中,显示了居住者与窗户的互动(即打开和关闭)对最佳围护结构选择的影响,能够最大化室内舒适条件并最大限度地减少季节性供暖能耗。全年进行数值模拟,以改变窗户类型(即双层或三层玻璃)、围护结构的绝缘厚度和遮阳。在考虑和忽略乘员行为的情况下重复模拟。这种分析是通过almbuild来完成的,almbuild是一个新的SIMULINK开放块集,专门用于能源建筑建模,其中实现了汉弗莱斯自适应算法来建模居住者的行为。在这项工作中获得的结果证实,为了获得更可靠的建筑能耗估计和实现更舒适的热区,在新的NZEB建筑的设计阶段应该考虑到居住者的行为。目前,设计人员可以使用一系列数值工具对建筑物进行动态能量模拟。然而,通常在这个软件中,乘员的行为被忽略或以一种简化的方式计算。这导致建筑物的预测和实际能源性能之间的性能差距。在本文中,显示了居住者与窗户的互动(即打开和关闭)对最佳围护结构选择的影响,能够最大化室内舒适条件并最大限度地减少季节性供暖能耗。全年进行数值模拟,以改变窗户类型(即双层或三层玻璃)、围护结构的绝缘厚度和遮阳。在考虑和忽略乘员行为的情况下重复模拟。这种分析是通过almbuild来完成的,almbuild是一个新的SIMULINK开放块集,专门用于能源建筑建模,其中实现了Humphreys自适应算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ALMABuild as a design tool for the analysis of the effect of the occupant behaviour on the energy building consumptions
Nowadays, a series of numerical tools that enables dynamic energy simulations of buildings are available to the designer. However, generally in this software the occupant behavior is neglected or accounted in a simplified way. This leads to a performance gap between predicted and real energy performance of a building. In this paper, the effect of occupant interactions with windows (i.e. openings and closing) on the selection of the optimal envelope configuration, able to maximize indoor comfort conditions and minimizes the seasonal heating energy consumption, are shown. Numerical simulations are performed for the whole year varying the window typology (i.e. double or triple pane), the insulation thickness of the envelope and the shadings. Simulations are repeated both considering and neglecting the occupant behavior. This kind of analysis has been performed by means of ALMABuild, a new SIMULINK open blockset devoted to energy building modelling, in which the Humphreys Adaptive Algorithm has been implemented for modeling the occupant behavior. The results obtained in this work confirm that the occupant behavior should be accounted for during the design phase of a new NZEB building in order to obtain more reliable estimation of the building energy consumptions and to achieve more comfortable thermal zones.Nowadays, a series of numerical tools that enables dynamic energy simulations of buildings are available to the designer. However, generally in this software the occupant behavior is neglected or accounted in a simplified way. This leads to a performance gap between predicted and real energy performance of a building. In this paper, the effect of occupant interactions with windows (i.e. openings and closing) on the selection of the optimal envelope configuration, able to maximize indoor comfort conditions and minimizes the seasonal heating energy consumption, are shown. Numerical simulations are performed for the whole year varying the window typology (i.e. double or triple pane), the insulation thickness of the envelope and the shadings. Simulations are repeated both considering and neglecting the occupant behavior. This kind of analysis has been performed by means of ALMABuild, a new SIMULINK open blockset devoted to energy building modelling, in which the Humphreys Adaptive Algorithm has been implement...
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