Perceptions on Smart Gas Meters in Smart Cities for Reducing the Carbon Footprint

被引:4
|
作者
Hurst, William [1 ]
Tekinerdogan, Bedir [1 ]
Kotze, Ben [2 ]
机构
[1] Wageningen Univ & Res, Informat Technol Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands
[2] Cent Univ Technol, Dept Elect Elect & Comp Engn, 20 President Brandt St, ZA-9300 Bloemfontein, South Africa
来源
SMART CITIES | 2020年 / 3卷 / 04期
关键词
smart cities; smart meter; gas; climate change; multiple linear regression; PRIVACY; BLOCKCHAIN; SCHEME;
D O I
10.3390/smartcities3040058
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Carbon emission is a prominent issue, and smart urban solutions have the technological capabilities to implement change. The technologies for creating smart energy systems already exist, some of which are currently under wide deployment globally. By investing in energy efficiency solutions (such as the smart meter), research shows that the end-user is able to not only save money, but also reduce their household's carbon footprint. Therefore, in this paper, the focus is on the end-user, and adopting a quantitative analysis of the perception of 1365 homes concerning the smart gas meter installation. The focus is on linking end-user attributes (age, education, social class and employment status) with their opinion on reducing energy, saving money, changing home behaviour and lowering carbon emissions. The results show that there is a statistical significance between certain attributes of end-users and their consideration of smart meters for making beneficial changes. In particular, the investigation demonstrates that the employment status, age and social class of the homeowner have statistical significance on the end-users' variance; particularly when interested in reducing their bill and changing their behaviour around the home.
引用
收藏
页码:1173 / 1186
页数:14
相关论文
共 50 条
  • [1] Residential Smart Gas Meters
    Gavra, Laurentiu
    Crainic, Monica Sabina
    Pupsa, Petru
    Popa, Gheorghe
    2012 10TH INTERNATIONAL SYMPOSIUM ON ELECTRONICS AND TELECOMMUNICATIONS, 2012, : 37 - 40
  • [2] Residents' perceptions of smart energy meters
    Shuhaiber, Ahmed Haitham
    Expert Systems, 2021, 38 (06)
  • [3] Heat Recovery System for Reducing Smart Building Carbon Footprint
    Chiu, Yu-Wei
    Chiu, Wei-Ming
    Kuan, Yean-Der
    SENSORS AND MATERIALS, 2020, 32 (03) : 885 - 893
  • [4] The diffusion of smart meters in France A discussion of the empirical evidence and the implications for smart cities
    Kendel, Adnane
    Lazaric, Nathalie
    JOURNAL OF STRATEGY AND MANAGEMENT, 2015, 8 (03) : 231 - 244
  • [5] The role of smart meters in carbon management
    Darby, Sarah J.
    CARBON MANAGEMENT, 2013, 4 (02) : 111 - 113
  • [6] Gauging Carbon Footprint of AI/ML Implementations in Smart Cities: Methods and Challenges
    Rajkumar, P. V.
    2022 SEVENTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING, FMEC, 2022, : 162 - 166
  • [7] Reducing Gas Emissions in Smart Cities by Using the Red Swarm Architecture
    Stolfi, Daniel H.
    Alba, Enrique
    ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2013, 2013, 8109 : 289 - 299
  • [8] Is Mandating "Smart Meters" Smart?
    Leautier, Thomas-Olivier
    ENERGY JOURNAL, 2014, 35 (04): : 135 - 157
  • [9] NB-IoT optimization for smart meters networks of smart cities: Case study
    Abbas, Ahmed M.
    Youssef, Khaled Y.
    Mahmoud, Imbaby I.
    Zekry, Abdelhalim
    ALEXANDRIA ENGINEERING JOURNAL, 2020, 59 (06) : 4267 - 4281
  • [10] Smart meters
    Riggs, Richard
    Engineering and Technology, 2010, 5 (02):