Life cycle integrated multi-criteria decision model for roof assessment

IF 7.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Energy and Buildings Pub Date : 2025-06-01 Epub Date: 2025-03-17 DOI:10.1016/j.enbuild.2025.115628
Taylana Piccinini Scolaro, Enedir Ghisi
{"title":"Life cycle integrated multi-criteria decision model for roof assessment","authors":"Taylana Piccinini Scolaro,&nbsp;Enedir Ghisi","doi":"10.1016/j.enbuild.2025.115628","DOIUrl":null,"url":null,"abstract":"<div><div>Roofs significantly impact urban microclimates and indoor environments. However, selecting a suitable roof typology is complex due to environmental, social, and economic issues. This study aims to propose a method that comprises four parameters to support the selection of the most sustainable roof typology: life cycle energy assessment, urban heat island, life cycle cost analysis and thermal comfort. A top-floor flat in a multifamily residential building model with conventional (fibre cement), cool and green roofs, with and without thermal insulation, was used as a case study. The Brazilian climatic contexts of Florianópolis, Curitiba, and Brasília were considered. Computer simulations on EnergyPlus and data from the literature, technical specifications, a Brazilian database for quantifying materials and services and market prices were used to assess the roof typologies’ performance in each parameter. A questionnaire was applied to a panel of building experts to define the relative importance of each parameter. A multi-criteria decision-making (MCDM) method combining Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to weigh the parameters and select the most energy-sustainable roof alternative for each climatic context. The cool roof was the most sustainable in Florianópolis and Brasília, whereas the green roof was in Curitiba. Conventional roofs performed worst in all cities due to lower environmental and social efficiency. The method proposed herein offers valuable guidance for selecting energy-sustainable roofs and urban planning strategies, with adaptability to other roof typologies and countries, enabling tailored roof solutions for local conditions.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"336 ","pages":"Article 115628"},"PeriodicalIF":7.1000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy and Buildings","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378778825003585","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Roofs significantly impact urban microclimates and indoor environments. However, selecting a suitable roof typology is complex due to environmental, social, and economic issues. This study aims to propose a method that comprises four parameters to support the selection of the most sustainable roof typology: life cycle energy assessment, urban heat island, life cycle cost analysis and thermal comfort. A top-floor flat in a multifamily residential building model with conventional (fibre cement), cool and green roofs, with and without thermal insulation, was used as a case study. The Brazilian climatic contexts of Florianópolis, Curitiba, and Brasília were considered. Computer simulations on EnergyPlus and data from the literature, technical specifications, a Brazilian database for quantifying materials and services and market prices were used to assess the roof typologies’ performance in each parameter. A questionnaire was applied to a panel of building experts to define the relative importance of each parameter. A multi-criteria decision-making (MCDM) method combining Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to weigh the parameters and select the most energy-sustainable roof alternative for each climatic context. The cool roof was the most sustainable in Florianópolis and Brasília, whereas the green roof was in Curitiba. Conventional roofs performed worst in all cities due to lower environmental and social efficiency. The method proposed herein offers valuable guidance for selecting energy-sustainable roofs and urban planning strategies, with adaptability to other roof typologies and countries, enabling tailored roof solutions for local conditions.
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
顶板评价生命周期综合多准则决策模型
屋顶显著影响城市小气候和室内环境。然而,由于环境、社会和经济问题,选择合适的屋顶类型是复杂的。本研究旨在提出一种方法,包括四个参数来支持最可持续屋顶类型的选择:生命周期能源评估、城市热岛、生命周期成本分析和热舒适。一个多户住宅建筑模型的顶层公寓,采用传统的(纤维水泥),凉爽的绿色屋顶,有或没有隔热材料,作为案例研究。考虑了巴西Florianópolis、库里提巴和Brasília的气候背景。利用EnergyPlus上的计算机模拟和来自文献、技术规范、巴西量化材料和服务数据库以及市场价格的数据来评估屋顶类型在每个参数中的性能。一份调查问卷应用于一个建筑专家小组,以确定每个参数的相对重要性。采用层次分析法(AHP)和理想方案相似偏好排序法(TOPSIS)相结合的多准则决策(MCDM)方法对各参数进行加权,并根据各气候条件选择最具能源可持续性的屋顶方案。凉爽屋顶在Florianópolis和Brasília是最可持续的,而绿色屋顶在库里提巴。由于环境和社会效率较低,传统屋顶在所有城市中表现最差。本文提出的方法为选择能源可持续屋顶和城市规划策略提供了有价值的指导,具有对其他屋顶类型和国家的适应性,能够根据当地条件定制屋顶解决方案。
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
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
期刊最新文献
A machine learning-based surrogate model to approximate building carbon footprint in early-stage architectural design Thermal aging effect of indoor finishing materials on material and building energy performance: Implications for bio-based material applications Conditional distribution estimation of building characteristics with diffusion models for urban energy modeling A scalable activity-based and physics-informed bottom-up model for residential electricity demand using open data Accurate Short-Term GHI forecasts for energy Simulation, emissions Reduction, and demand response under limited data
×
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:604180095
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