基于能耗指标分析的大学建筑能耗特征研究——以s大学负荷分析为例

정혜진, 김진아
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引用次数: 1

摘要

用户参与节省的能源对教育机构至关重要,提高认识的活动也至关重要。然而,与能源相关的数据主要是由管理者群体产生的,因此在产生用户易于理解或用于教育的信息方面存在局限性。这是因为BEMS或BAS是一种传统的管理系统,主要关注建筑单元本身的技术信息。大学在一定的区域内有各种各样的建筑,通过推导指标值进行对标分析是有利的条件。在本研究中,通过指标分析对使用模式进行分类。我们还展示了能源分析结果,通过3年的电力负荷分析展示了能源管理的过程,可以应用于各种教育和公告。在各种能源指标中考虑能源强度、基本负荷和温度敏感性的水平,以及如何理解和解释其结果和特征的群体分类。只有适合大学校园的基础水平的数据分析才能产生与用户互动的信息,并将其用于教育领域,而不是高度技术性的分析。预计,由于缺乏专业人力和系统运营费用,被忽视的能源信息创造将得到加强,被称为“用电大户”的大学的节能活动将得到有效实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on the Energy Consumption Characteristics in University Buildings based on the Analysis of Power Consumption Indicators - Focused on Load Profiling of S-University -
The energy savings from user-participation are crucial for educational institutions and awarenessbuilding activities are essential as well. However, energy related data have been mainly produced by manager group, thus there have been limitations in producing information that users can easily understand or use in education. This is because BEMS or BAS, which is a conventional management system, mainly focused on technical information on building unit itself. Universities have various kinds of buildings within certain area, thus benchmarking analysis through derivation of indicator values is favorable condition. In this study, the usage patterns were classified by analysis of indicators. We also present energy analysis results that can be applied variously to education and announcement by demonstrating the process of energy management through 3-year power load profiling. The group classification considering the level of energy intensity, base load, and temperature sensitivity among various energy indicators, and how to understand and interpret their results and characteristics. Instead of highly technical analysis, only basic level of data analysis suitable for university campuses can produce interactive information with users and use it on the education fields. It is expected that energy saving activities by universities, which are known as big power consumption groups, will be effectively implemented by strengthening energy information creation, which is being neglected due to lack of professional manpower and system operation costs.
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