Development of a Tool for the Identification and energy Analysis of buildings’ envelopes of different Hospital Areas

Emilia Urteneche, Santiago Tomás Fondoso-Ossola, D. Barbero, Irene Martini
{"title":"Development of a Tool for the Identification and energy Analysis of buildings’ envelopes of different Hospital Areas","authors":"Emilia Urteneche, Santiago Tomás Fondoso-Ossola, D. Barbero, Irene Martini","doi":"10.1109/RPIC53795.2021.9648409","DOIUrl":null,"url":null,"abstract":"Hospital facilities are considered to be some of the buildings with the highest consumption per unit of floor area, due to the use of the functions performed in each hospital area and the need to ensure strict conditions for the habitability of its users. On the other hand, it has been detected that in the hospital network there are different construction systems in terms of the characteristics of the building envelope for the same hospital areas. This is due to the fact that they have been designed in different time contexts, responding to different criteria and regulations. In the current context, which leads to the need to provide energy efficiency solutions in a strategic way, this work provides a tool for the detection of the situations that present greater heat loss by the building envelopes. Thus, by applying the calculator developed to the same hospital area distributed in different buildings, an indicator of heat loss through the building envelope per unit of floor area is obtained. The results achieved make it possible to direct specific measures to the most critical situations, which will make it possible to save resources for building envelope refurbishment when implementing alternative energy strategies.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XIX Workshop on Information Processing and Control (RPIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPIC53795.2021.9648409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Hospital facilities are considered to be some of the buildings with the highest consumption per unit of floor area, due to the use of the functions performed in each hospital area and the need to ensure strict conditions for the habitability of its users. On the other hand, it has been detected that in the hospital network there are different construction systems in terms of the characteristics of the building envelope for the same hospital areas. This is due to the fact that they have been designed in different time contexts, responding to different criteria and regulations. In the current context, which leads to the need to provide energy efficiency solutions in a strategic way, this work provides a tool for the detection of the situations that present greater heat loss by the building envelopes. Thus, by applying the calculator developed to the same hospital area distributed in different buildings, an indicator of heat loss through the building envelope per unit of floor area is obtained. The results achieved make it possible to direct specific measures to the most critical situations, which will make it possible to save resources for building envelope refurbishment when implementing alternative energy strategies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
不同医院区域建筑围护结构识别和能源分析工具的开发
医院设施被认为是单位建筑面积耗电量最高的建筑物之一,这是由于在每个医院区域内执行的功能的使用,以及需要确保其使用者的可居住性有严格的条件。另一方面,我们发现在医院网络中,在同一医院区域的建筑围护结构特征方面存在不同的建筑体系。这是因为它们是在不同的时间背景下设计的,响应不同的标准和法规。在当前的背景下,这导致需要以战略性的方式提供能源效率解决方案,这项工作为检测建筑围护结构产生更大热量损失的情况提供了一种工具。因此,将所开发的计算器应用于分布在不同建筑中的同一医院面积,可以得到单位建筑面积通过建筑围护结构损失的热量指标。所取得的成果使我们能够针对最关键的情况采取具体措施,这将使在实施替代能源战略时节省用于建筑围护结构翻新的资源成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Estimation of actual evapotranspiration using NASA-POWER data and Support Vector Machine Control of COVID-19 Outbreak for Preventing Collapse of Healthcare Capacity Parametric study of limiting cell design variables in a lithium battery pack Current-sensors fault tolerant control system for electric drives: experimental validation Seismic Moment Tensor Inversion in Anisotropic Media using Deep Neural Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1