...
首页> 外文期刊>Energies >Influence of Input Climatic Data on Simulations of Annual Energy Needs of a Building: EnergyPlus and WRF Modeling for a Case Study in Rome (Italy)
【24h】

Influence of Input Climatic Data on Simulations of Annual Energy Needs of a Building: EnergyPlus and WRF Modeling for a Case Study in Rome (Italy)

机译:输入的气候数据对建筑物年度能源需求模拟的影响:罗马的一个案例研究的EnergyPlus和WRF建模

获取原文
           

摘要

The simulation of the energy consumptions in an hourly regime is necessary in order to perform calculations on residential buildings of particular relevance for volume or for architectural features. In such cases, the simplified methodology provided by the regulations may be inadequate, and the use of software like EnergyPlus is needed. To obtain reliable results, usually, significant time is spent on the meticulous insertion of the geometrical inputs of the building, together with the properties of the envelope materials and systems. Less attention is paid to the climate database. The databases available on the EnergyPlus website refer to airports located in rural areas near major cities. If the building to be simulated is located in a metropolitan area, it may be affected by the local heat island, and the database used as input to the software should take this phenomenon into account. To this end, it is useful to use a meteorological model such as the Weather Research and Forecasting (WRF) model to construct an appropriate input climate file. A case study based on a building located in the city center of Rome (Italy) shows that, if the climatic forcing linked to the heat island is not considered, the estimated consumption due to the cooling is underestimated by 35–50%. In particular, the analysis and the seasonal comparison between the energy needs of the building simulated by EnergyPlus, with the climatic inputs related to two airports in the rural area of Rome and with the inputs provided by the WRF model related to the center of Rome, show discrepancies of about (i) WRF vs. Fiumicino (FCO): Δ = ?3.48% for heating, Δ = 49.25% for cooling; (ii) WRF vs. Ciampino (CIA): Δ = ?7.38% for heating, Δ = +35.52% for cooling.
机译:为了在与体积或建筑特征特别相关的住宅建筑上进行计算,有必要对小时制能耗进行模拟。在这种情况下,法规提供的简化方法可能不够用,需要使用像EnergyPlus这样的软件。为了获得可靠的结果,通常需要花费大量时间来精心插入建筑物的几何输入以及围护结构材料和系统的性能。对气候数据库的关注较少。 EnergyPlus网站上提供的数据库是指位于主要城市附近农村地区的机场。如果要模拟的建筑物位于市区,则可能会受到当地热岛的影响,并且用作软件输入的数据库应考虑到这种现象。为此,使用气象模型(例如天气研究和预报(WRF)模型)来构建适当的输入气候文件是有用的。一项基于位于罗马(意大利)市中心的建筑物的案例研究表明,如果不考虑与热岛相关的气候强迫,则由于制冷而导致的估计能耗低估了35%至50%。特别是,通过EnergyPlus模拟的建筑物的能源需求,与罗马乡村地区两个机场有关的气候输入以及由与罗马市中心有关的WRF模型提供的输入的分析和季节性比较,显示出约(i)WRF与Fiumicino(FCO)的差异:加热时Δ= 3.48%,冷却时Δ= 49.25%; (ii)WRF与Ciampino(CIA)的关系:加热时Δ= 7.38%,冷却时Δ= + 35.52%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号