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The Development of Standardized Whole-Building Simulation Assumptions for Energy Analysis for a Set of Commercial Buildings 为一组商业建筑的能量分析制定标准化的整体建筑模拟假设
出于各种原因,对商业建筑进行整体建筑能耗模拟,例如量化最终用途建筑消耗曲线的各种能源成分,量化修改各种建筑或系统参数带来的节能效益或惩罚,协助调试过程,协助建筑设计过程,并帮助代码开发过程。本文旨在为典型商业建筑提出一套标准化假设。 这些假设是根据ANSI/ASHRAE/IESNA标准90.1-2004、《除低层住宅建筑外的建筑能源标准》(ASHRAE 2004b)中的标准,以及之前发布的概述典型使用模式和能源密度的工作而制定的。在对不同的能效指标进行比较分析时,拥有一套典型商业建筑的文件非常重要,该套文件可以作为开发执行此类分析的计算机工具的标准集。 该标准化集对于制定标准90.1的规定性要求也非常重要。目前的一套规定性要求是根据一套不一致的建筑假设制定的,目前正在进行更新,这些假设采用了不同程度的简化。此前的研究已经在这一领域发表,但没有一项提供了完整和全面的清单,可以用来建立完整的能源模型。因此,通过提供关键的项目输入,可以复制未来的结果,并使用相同的基线进行进一步的分析。 单位:双引文:ASHRAE交易,第113卷,第。2
Whole-building energy simulations of commercial buildings are done for various reasons, such as to quantify the various energy components of the end-use building consumption profile, to quantify the energy savings benefit or penalty from modifying various building or system parameters, to assist in the commissioning process, to aid in building design process, and to aid the code development process. It is the intent of this paper to present a set of standardized assumptions for typical commercial buildings. These assumptions were developed from the criteria in ANSI/ASHRAE/IESNA Standard 90.1- 2004, Energy Standard for Buildings Except Low-Rise Residential Buildings (ASHRAE 2004b), and prior published work outlining the typical use patterns and energy densities. Having a documented set of typical commercial buildings is very important when doing a comparative analysis of different energy-efficiency measures, and the set can serve as a standard set for the development of computer tools that perform such analysis. This standardized set is also very important for the development of prescriptive requirements for Standard 90.1. The present set of prescriptive requirements was developed with and is currently being updated with an inconsistent set of building assumptions using various levels of simplification. Previous studies have been published in this area, but none of them provided full and comprehensive lists that could be used to build complete energy models. Therefore, it is intended that by providing the key program inputs, future results can be duplicated and further analysis can be performed using the identical baseline.Units: Dual
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