让节约再次成为关键:提高城市居民的能效意识

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Advances in Building Energy Research Pub Date : 2021-02-24 DOI:10.1080/17512549.2021.1891134
A. Keleş, Ecem Önen, J. Górecki
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引用次数: 4

摘要

摘要建筑业是世界上能源密集度最高的行业之一。为了减少建筑行业的能源需求,必须做出一些改变。这种需要的正式例证可以从不同国家最近的法律变化中看到。能源标识/性能证书包含土耳其建筑物能源消耗的要求,《建筑物能源性能条例》从2020年1月1日起是强制性的。此外,它旨在衡量个人在节能方面的意识水平。使用问卷对居住在阿达纳试点地区的个人进行了面对面调查,了解他们对类似问题的认识,如绿色建筑和能源效率,特别是能源身份/性能证书。调查结果用Microsoft Excel编制,并借助SPSS(社会科学统计软件包)程序测量调查问题的可靠性。数据分析来自WEKA(怀卡托知识分析环境)。关联规则提取是数据挖掘方法之一,用于分析。根据调查结果,可以看出,大多数人对调查中的主题没有足够的信息。
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Make saving crucial again: building energy efficiency awareness of people living in urban areas
ABSTRACT Construction is one of the most energy-intensive sectors in the world. To scale down the energy demand of the building sector, some changes must be made. Formal exemplifications of this need can be seen in recent changes in the law in different countries. The energy identity/performance certificate contains requirements about buildings’ energy consumption in Turkey, and the Energy Performance Regulation in Buildings is mandatory from 01.01.2020. Moreover, it aimed to measure the level of awareness of individuals in saving energy. Face-to-face surveys were conducted with the use of a questionnaire with individuals residing in Adana's pilot region on the awareness of similar issues such as green buildings and energy efficiency, especially energy identity/performance certificate. The survey results were prepared in Microsoft Excel, and the reliability of the survey questions was measured with the help of the SPSS (Statistical Package for the Social Sciences) program. The analysis of the data was obtained from WEKA (Waikato Environment for Knowledge Analysis). Association rule extraction, which is one of the data mining methods, was used in the analysis. Based on the findings, it was seen that most of the individuals did not have enough information about the topics in the survey.
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来源期刊
Advances in Building Energy Research
Advances in Building Energy Research CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.80
自引率
5.00%
发文量
11
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