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Method for probabilistic energy calculations : variable parameters

机译:概率能量计算方法:可变参数

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摘要

Building regulations in Sweden require that an energy calculation is done for every building to show that the building design meets the maximum specific energy use as outlined in the Swedish Building Code. The result of this energy calculation is always one number, for example a building might use 89 kWh/m2 year when the building regulation requires 90 kWh/m2 year. This level of reporting can lead to conflicts if the measured energy use is over the calculated energy use. With the current tools you need to do a time-consuming parametric study in order to see which risks are associated to the design and material properties.This paper is part of a project called “Calculation method for probabilistic energy use in buildings” and is developing and testing the application of Monte Carlo simulations using two popular energy calculation tools developed in Sweden. The goals of the project are; to look at which input parameters have the largest influence on the result; to begin defining a realistic spread of the most significant parameters; to study the advantages and disadvantages of probabilistic energy calculations; and to look at the discrepancies between calculated and measured energy use.This paper presents the results of the first stage of the study defining which input parameters should vary and defining a realistic spread of the values of these parameters. Out of all the input parameters in the case object, it was determined that the method should be tested with 16 parameters with variable values. This paper also presents the preliminary results of an energy calculation done on a real object using the variable parameters and 1000 iterations compared to the base calculation without Monte Carlo simulations.
机译:瑞典的建筑法规要求对每座建筑物进行能耗计算,以表明建筑设计符合《瑞典建筑规范》中概述的最大特定能耗。能源计算的结果始终是一个数字,例如,当建筑法规要求90 kWh / m2年时,一栋建筑物可能使用89 kWh / m2年。如果测量的能源使用量超过计算的能源使用量,则此报告级别可能导致冲突。使用当前的工具,您需要进行耗时的参数研究,才能了解哪些风险与设计和材料特性有关。本文是名为“建筑物概率能源计算方法”的项目的一部分,目前正在开发中并使用瑞典开发的两种流行的能量计算工具测试蒙特卡洛模拟的应用。该项目的目标是:查看哪些输入参数对结果的影响最大;开始定义最重要参数的实际分布;研究概率能量计算的优缺点;本文介绍了研究的第一阶段的结果,该研究确定了哪些输入参数应该变化并定义了这些参数值的实际分布。在案例对象的所有输入参数中,确定应使用16个具有可变值的参数测试该方法。与没有蒙特卡洛模拟的基础计算相比,本文还介绍了使用可变参数和1000次迭代对真实对象进行能量计算的初步结果。

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