Application of a decision tree approach to predict energy consumption in lightweight buildings under subtropical climate

被引:1
|
作者
Zara, Rafaela Benan [1 ]
Moro, Guilherme Natal [1 ]
Martins, Rodrigo dos Santos Veloso [2 ]
Giglio, Thalita Gorban Ferreira [1 ]
机构
[1] Univ Estadual Londrina, Londrina, Brazil
[2] Univ Tecnol Fed Parana, Apucarana, Brazil
关键词
Computer simulation; Energy efficiency; Housing; Machine learning; Wood frame; RESIDENTIAL BUILDINGS; TIMBER BUILDINGS; PERFORMANCE; DESIGN; CONSTRUCTION; BEHAVIOR; SYSTEMS; COMFORT; WALL;
D O I
10.1108/SASBE-04-2024-0123
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
implementing aligned principles, by product-service system (PSS). However, incorporating the PSS into housing to realize a CE faces significant challenges within an industry characterized by systemic rigidity and institutional inertia. This study investigates the barriers faced in deploying the PSS and its CE potential in housing. Design/methodology/approach - The authors conducted 15 semi-structured interviews with stakeholders experienced in the deployment of PSS and CE in housing projects. Analysis used deductive coding, guided by institutional theory's regulative, normative and cultural-cognitive pillars, followed by inductive coding development. Findings - Twelve key barriers emerged across three pillars, underlying the significance of not only regulative but also normative and cultural-cognitive barriers. The findings indicate that the current institutional environment impedes the establishment of legitimacy for the deployment of PSS and its CE potential in housing. Practical implications - Following the findings, a diversified institutional support system enabled by the collaborative effort of the government, managing and financing actors and industry associations is required to overcome deployment barriers. Originality/value - This study advances knowledge at the intersection of housing and circular business model innovation. It connects theory to practice by applying institutional theory to real-world barriers in deploying the PSS for a CE in housing and lays the groundwork for practical changes. Keywords Product-service system, Circular economy, Housing construction, Institutional theory, Business model innovation, Interview Research
引用
收藏
页数:21
相关论文
共 50 条
  • [21] A Method for Energy Consumption Audit and Intelligent Decision of Green Buildings
    Chen, Jinlong
    Jiang, Mengke
    Xie, Kun
    Guo, Zhen
    Pan, Hang
    Chen, Xianjun
    CLOUD COMPUTING AND SECURITY, PT IV, 2018, 11066 : 598 - 607
  • [22] Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings
    Mohammed, Ahmed Salih
    Asteris, Panagiotis G.
    Koopialipoor, Mohammadreza
    Alexakis, Dimitrios E.
    Lemonis, Minas E.
    Armaghani, Danial Jahed
    SUSTAINABILITY, 2021, 13 (15)
  • [23] Monitor: An Abnormality Detection Approach in Buildings Energy Consumption
    Rashid, Haroon
    Singh, Pushpendra
    2018 4TH IEEE INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC 2018), 2018, : 16 - 25
  • [24] Comparison of support vector machine, Gaussian process regression and decision tree models for energy consumption prediction of campus buildings
    Han, Bo
    Zhang, Shan
    Qin, Liyun
    Wang, Xianda
    Liu, Yuanyuan
    Li, Zhiyong
    2022 8TH INTERNATIONAL CONFERENCE ON HYDRAULIC AND CIVIL ENGINEERING: DEEP SPACE INTELLIGENT DEVELOPMENT AND UTILIZATION FORUM, ICHCE, 2022, : 689 - 693
  • [25] Thermal performance of a lightweight building with phase change material under a humid subtropical climate
    Sun, Xiaoqin
    Zhu, Ziyang
    Fan, Siyuan
    Li, Jie
    Energy and Built Environment, 2022, 3 (01): : 73 - 85
  • [26] Decision Support Application for Energy Consumption Forecasting
    Jozi, Aria
    Pinto, Tiago
    Praca, Isabel
    Vale, Zita
    APPLIED SCIENCES-BASEL, 2019, 9 (04):
  • [27] BKL METHOD: A SIMPLIFIED METHOD TO PREDICT ENERGY CONSUMPTION IN BUILDINGS.
    Kallblad, Kurt
    Adamson, Bo
    Document - Swedish Council for Building Research, 1984,
  • [28] Energy Consumption of Retrofitting Existing Public Buildings in Malaysia under BIM Approach: Pilot Study
    Hmidah, Nawal Abdunasseer
    Bin Haron, Nuzul Azam
    Hizami, Aidi Alias
    Law, Teik Hua
    Altohami, Abubaker Basheer Abdalwhab
    SUSTAINABILITY, 2023, 15 (13)
  • [29] Decision Tree Learning for Fraud Detection in Consumer Energy Consumption
    Cody, Christa
    Ford, Vitaly
    Siraj, Ambareen
    2015 IEEE 14TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2015, : 1175 - 1179
  • [30] Future Climate Change on Energy Consumption of Office Buildings in Different Climate Zones of China
    Chen, Yuehao
    Li, Mingcai
    Xiong, Mingming
    Cao, Jingfu
    Li, Ji
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2018, 27 (01): : 45 - 53