Smart homes, homes, home energy management systems and real-time feedback: Lessons for influencing household energy consumption from a Swedish field study

被引:101
|
作者
Nilsson, Anders [1 ]
Wester, Misse [2 ]
Lazarevic, David [1 ,3 ]
Brandt, Nils [1 ]
机构
[1] Royal Inst Technol KTH, Sch Architecture & Built Environm, Dept Sustainable Dev Environm Sci & Engn, S-10044 Stockholm, Sweden
[2] Lund Univ, Div Risk Management & Societal Safety, S-22100 Lund, Sweden
[3] Finnish Environm Inst SYKE, Environm Policy Ctr, PL 140, Helsinki 00251, Finland
关键词
Residential energy consumption; Home energy management system; Energy consumption feedback; In-home displays; ELECTRICITY CONSUMPTION; POLICY IMPLICATIONS; INFORMATION; BEHAVIOR; CONSERVATION; STRATEGIES; DISPLAYS; INSIGHTS; SAVINGS; USAGE;
D O I
10.1016/j.enbuild.2018.08.026
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Home energy management systems (HEMS), providing energy feedback and smart features through in-home displays, have the potential to support more sustainable household decisions concerning energy consumption. However, recent findings from European smart metering trials have reduced the optimism, suggesting only modest savings from energy feedback. In this paper, we investigate the potential of HEMS to foster reductions in energy use, focusing on a population segment of particular relevance; high-income and highly educated households, considered as early adopters of smart grid technologies. Covering 154 households participating in a field trial in a sustainable city district in Stockholm, Sweden during one year, this study draws on the analyses of smart meter electricity and hot tap water data and in-depth interviews to provide an increased understanding of how feedback and features are perceived, used, and acted upon, and resulting effects on awareness, behavior, and consumption. Our results show that impact on energy consumption varies widely across individual households, suggesting that households respond to energy feedback highly individually. Although HEMS may lead to increased awareness of energy consumption, as well as increased home comfort, several obstacles for energy consumption behavioral change are identified. Drawing from these findings, we suggest policy implications and key issues for future research. Keywords: Residential energy consumption Home energy management system Energy consumption feedback In-home displays (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:15 / 25
页数:11
相关论文
共 40 条
  • [21] Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving
    Elkholy, Mahmoud H.
    Senjyu, Tomonobu
    Lotfy, Mohammed Elsayed
    Elgarhy, Abdelrahman
    Ali, Nehad S.
    Gaafar, Tamer S.
    SUSTAINABILITY, 2022, 14 (21)
  • [22] Real-time energy management of a smart home based on deep deterministic policy gradient
    Zenginis, Ioannis
    Vardakas, John
    Ramantas, Kostas
    Verikoukis, Christos
    2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,
  • [23] STUDY ON ENHANCING THE ENERGY EFFICIENCY THROUGH REAL-TIME SMART ENERGY MANAGEMENT SYSTEMS FOR ACHIEVING GREEN ICT CAMPUS
    Alla, Kesava Rao
    Hassan, Zainuddin
    Chen, Soong Der
    3C TECNOLOGIA, 2019, (SI): : 329 - 347
  • [24] Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes
    Abishu, Hayla Nahom
    Seid, Abegaz Mohammed
    Marquez-Sanchez, Sergio
    Fernandez, Javier Hernandez
    Corchado, Juan Manuel
    Erbad, Aiman
    20TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC 2024, 2024, : 1210 - 1217
  • [25] A qualitative study of users' engagement with real-time feedback from in-house energy consumption displays
    Ultra, Christian
    Boso, Alex
    Espluga, Josep
    Prades, Ana
    ENERGY POLICY, 2013, 61 : 788 - 792
  • [26] Optimized smart home energy management system: Reducing grid consumption and costs through real-time pricing and hybrid architecture
    Ali, Abdelrahman O.
    Elmarghany, Mohamed R.
    Hamed, Ahmed M.
    Sabry, Mohamed Nabil
    Abdelsalam, Mohamed M.
    CASE STUDIES IN THERMAL ENGINEERING, 2024, 64
  • [27] Real-time day ahead energy management for smart home using machine learning algorithm
    Vasudevan, Nisha
    Venkatraman, Vasudevan
    Ramkumar, A.
    Sheela, A.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (05) : 5665 - 5676
  • [28] Smart Home Energy Management System With Optimal Source Selection in a Real-Time Pricing Environment
    Kumar, Anand
    Singh, Rahul
    Cai, Yiqin
    Grijalva, Santiago
    2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2020, : 443 - 448
  • [29] Real-Time Framework for Energy Management System of a Smart Microgrid Using Multiagent Systems
    Netto, Roberto S.
    Ramalho, Guilherme R.
    Bonatto, Benedito D.
    Carpinteiro, Otavio A. S.
    Zambroni de Souza, A. C.
    Oliveira, Denisson Q.
    Braga, Rodrigo A. S.
    ENERGIES, 2018, 11 (03)
  • [30] Low-cost Smart Home Energy Management System based on Decentralized Real-Time Pricing
    Jinsiwale, Rohit
    Kulkarni, Shreyas
    Divan, Deepak
    2020 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2020,