以能源性能为主要标准识别建筑原型:以印度斋浦尔为例

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Bibhu Kalyan Nayak, S. K. Sansaniwal, Jyotirmay Mathur, T. Chandra, V. Garg
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引用次数: 1

摘要

住宅建筑对能源的需求很快就会超过供应。大多数研究依赖于国家数据库或以前发表的数据集。使用自下而上的方法来处理这个主题是至关重要的。因此,本研究旨在利用原始数据集分析斋浦尔住宅建筑的能源消耗模式。本研究以斋浦尔为例,提出了一种基于能源效率来定义印度城镇建筑原型的方法。收集和分析了2327个原始数据样本,包括能源使用统计和社会经济信息。本研究以自底向上的方式对主数据库进行多变量分析。采用聚类方法确定斋浦尔印度家庭的能源消耗。中低收入家庭随着收入的增加,家电的购买量也会增加,但他们的能耗却没有相应的增加。因此,住宅建筑标准不应仅仅基于每平方英尺的能耗。这项研究可以帮助制定能源政策,建立能源使用基准,建立关税结构,确定开始标签方案的最低水平,并根据能源效率制定奖励计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying building archetypes based on energy performance as the major criteria: a case of Jaipur, India
ABSTRACT The demand for energy in residential structures is set to outstrip the supply soon. Most studies rely on national databases or previously published datasets. It is crucial to approach this topic using a bottom-up methodology. Therefore, this research aims to analyse the energy consumption pattern of residential buildings in Jaipur by utilizing primary datasets. The present study takes Jaipur as a case study and proposes a way to define architectural archetypes in Indian towns based on their energy efficiency. The collection and analysis of 2,327 primary data samples included energy use statistics and socioeconomic information. This research applies multivariate analysis in a bottom-up manner to a primary database. The clustering method was utilized to determine the energy consumption of Indian families in Jaipur. Low- and middle-income families tend to purchase more appliances when their income increases, yet their energy usage does not increase proportionally. Therefore, residential building standards should not solely be based on per-square-foot energy consumption. This study can help develop energy policies, benchmark energy use, establish tariff structures, determine minimum levels for starting labelling programmes, and create incentive plans based on energy efficiency.
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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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