Evaluation of Potential for Peak Demand Reduction of Residential Buildings by Household Appliances with Demand Response

被引:0
|
作者
Ono T. [1 ]
Hagishima A. [1 ]
Tanimoto J. [1 ]
机构
[1] Interdisciplinary Graduate School of Engineering Science (IGSES), Kyusyu University, 6-1-1, Kasugakoen, Kasuga, Fukuoka
关键词
aggregated peak load; data analysis; demand response; peak reduction; residential appliances;
D O I
10.1541/ieejeiss.142.909
中图分类号
学科分类号
摘要
Residential appliances remotely controlled by IoT for demand response has attracted much attention for effective peak demand reduction of the uncertainty of consumers' behaviors. To promote the technology development of such appliances, estimation of the potential for peak demand reduction according to the type of appliances is strongly needed. With this background the authors conducted a data analysis of demand curves of not only entire household but also branches acquired at 496 dwellings in Osaka. Based on this analysis, the potential of peak reduction of aggregated demand of various groups with different dwelling size were quantified for major 5 appliances, namely air conditioners, microwave ovens, refrigerators, washing machines and dish washers. © 2022 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:909 / 918
页数:9
相关论文
共 50 条
  • [41] Forecasting household electric appliances consumption and peak demand based on hybrid machine learning approach
    Ul Haq, Ejaz
    Lyu, Xue
    Jia, Youwei
    Hua, Mengyuan
    Ahmad, Fiaz
    ENERGY REPORTS, 2020, 6 : 1099 - 1105
  • [42] Classification and Potential Evaluation of Residential Users in Demand Response Based on NILM Data
    Shen, Ran
    Jin, Liangfeng
    Wang, Yifan
    Wang, Qingjuan
    Ni, Linna
    Yu, Haiyue
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 248 - 253
  • [43] Demand Controlled Ventilation in Residential Buildings
    Chen, Huijuan
    Markusson, Caroline
    COLD CLIMATE HVAC 2018: SUSTAINABLE BUILDINGS IN COLD CLIMATES, 2019, : 111 - 122
  • [44] A Collaborative Design of Aggregated Residential Appliances and Renewable Energy for Demand Response Participation
    Liu, Meng
    Quilumba, Franklin L.
    Lee, Wei-Jen
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2015, 51 (05) : 3561 - 3569
  • [45] EVALUATION OF GROUND SOURCE HEAT PUMP ENERGY, DEMAND, AND GREENHOUSE POTENTIAL IN COLORADO RESIDENTIAL BUILDINGS
    Studer, Daniel
    Krarti, Moncef
    ES2010: PROCEEDINGS OF ASME 4TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, VOL 1, 2010, : 1041 - 1046
  • [46] Appliances Scheduling Using State-of-the-Art Algorithms for Residential Demand Response
    Bukhsh, Rasool
    Iqbal, Zafar
    Javaid, Nadeem
    Ahmed, Usman
    Khan, Asif
    Khan, Zahoor Ali
    ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES, 2018, 17 : 292 - 302
  • [47] Poster Abstract: Peak Demand Reduction using Energy Storage System for Demand Response
    Zang, Hannie
    Kim, Sunyong
    Kang, Daeyoung
    Lim, Hyuk
    BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION, 2019, : 336 - 337
  • [48] PEAK AND OFF-PEAK RESIDENTIAL WATER DEMAND
    LYMAN, RA
    WATER RESOURCES RESEARCH, 1992, 28 (09) : 2159 - 2167
  • [49] The Potential and Limits of Residential Demand Response Control Strategies
    Chassin, D. P.
    Du, P.
    Fuller, J. C.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [50] Modeling residential water demand: An approach based on household demand systems
    Suarez-Varela, Marta
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 261 (261)