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Extensive Comparative Analysis Of Two Building Energy Simulation Codes For Southern Europe Climates: Heating And Cooling Energy Needs and Peak Loads Calculation In TRNSYS And EnergyPlus

机译:两种针对南欧气候的建筑能源模拟代码的广泛比较分析:TRNSYS和EnergyPlus中的供暖和制冷能源需求以及峰值负荷计算

摘要

In order to evaluate the energy performance of buildings, both in heating and in cooling periods, the simulation codes can be used. Moreover, in accordance with the technical Standard EN ISO 13790:2008, the simulation codes can be employed for refining the steady-state methods, and particularly the utilization factors estimations, in accordance with the procedure proposed. As the various simulation codes implement different capabilities and refer to different mathematical models and calculation assumptions, the necessary validation steps which are used for diagnostic purposes are not enough to ensure the agreement of the results over a wider range of configurations and conditions. The main dynamic simulation codes have been generally evaluated according to the Standard ANSI/ASHRAE 140:2007 (BESTEST). By this approach the user can choose a software among those successfully tested, giving acceptable deviations between the computed output and the reference values for a selected number of reference buildings defined in the Standard. However the number of those reference building configurations is limited and the considered features are not representative of the common building stock present for instance in Southern Europe. Moreover, as those configurations were selected for diagnostic purposes, they are expected to produce unacceptable biasing when considered with statistical approaches in order to improve the quasi steady state approaches as the one proposed in the technical standard EN ISO 13790:2008. In this work a procedure to identify the main causes of deviation has been developed and has been applied to two well-known dynamic simulation software: TRNSYS (version 16.1) and EnergyPlus (version 7). The approach is based on a factorial plan of comparison aimed to investigate the main variables related to the envelope of the building and its behavior: variations in geometry and boundary conditions (dimensions and orientation of the glazing, amount of dispersing surface) envelope characteristics (walls insulation and heat capacity, insulation and solar transmittance of glazings) internal gains. From the combination of the values of the above variables, more than 1600 different configurations have been obtained for two Italian climatic conditions, each of which providing monthly values for heating and cooling needs and for heating and cooling peak loads. Thanks to the large number of configurations, the monthly heating and cooling energy needs and peak loads have been analysed with inferential statistics, which allowed to evaluate the agreement between the outputs and to characterize the weight of the different variables in causing the deviations found.
机译:为了评估建筑物在供暖和制冷期间的能源性能,可以使用模拟代码。此外,根据技术标准EN ISO 13790:2008,可以根据拟议的程序,使用仿真代码来完善稳态方法,尤其是利用因子估算。由于各种模拟代码实现不同的功能并引用不同的数学模型和计算假设,因此用于诊断目的的必要验证步骤不足以确保结果在更广泛的配置和条件范围内一致。通常已经根据标准ANSI / ASHRAE 140:2007(BESTEST)对主要的动态仿真代码进行了评估。通过这种方法,用户可以从成功测试的软件中选择一种软件,从而为标准中定义的选定数量的参考建筑物提供计算出的输出和参考值之间的可接受的偏差。然而,这些参考建筑物配置的数量是有限的,并且所考虑的特征不能代表例如在南欧存在的常见建筑物。此外,由于这些配置是出于诊断目的而选择的,因此,在考虑采用统计方法以改善准稳态方法(如技术标准EN ISO 13790:2008中提出的方法)时,它们会产生不可接受的偏差。在这项工作中,已经开发了一种确定偏差主要原因的程序,该程序已应用于两个著名的动态仿真软件:TRNSYS(版本16.1)和EnergyPlus(版本7)。该方法基于比较性析因计划,旨在研究与建筑物围护结构及其行为有关的主要变量:几何形状和边界条件(玻璃的尺寸和方向,分散表面的数量)的变化,围护结构特征(墙)隔热和热容,玻璃的隔热和太阳能透射率)内部收益。通过上述变量值的组合,已经针对两种意大利气候条件获得了1600多种不同的配置,每种配置都提供了供暖和制冷需求以及供暖和制冷峰值负荷的每月值。由于存在大量配置,已经使用推论统计数据分析了每月的供热和制冷能量需求和峰值负荷,从而可以评估输出之间的一致性,并表征造成偏差的不同变量的权重。

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