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
来源：
IEEJ Transactions on Electronics, Information and Systems | 2022年 / 142卷 / 08期
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
  • [1] Evaluation of potential for peak demand reduction of residential buildings by household appliances with demand response
    Ono, Tetsushi
    Hagishima, Aya
    Tanimoto, Jun
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2022, 105 (04)
  • [2] Comparison of Peak Demand Shaving Potential of Demand Response and Distributed Energy Storage in Residential Buildings
    Abbas, Akintonde
    Halbe, Sumedh
    Chowdhury, Badrul
    2019 IEEE SOUTHEASTCON, 2019,
  • [3] Demand response potential of ventilation systems in residential buildings
    Rotger-Griful, Sergi
    Jacobsen, Rune Hylsberg
    Nguyen, Dat
    Sorensen, Gorm
    ENERGY AND BUILDINGS, 2016, 121 : 1 - 10
  • [4] Optimal scheduling of household appliances for demand response
    Setlhaolo, Ditiro
    Xia, Xiaohua
    Zhang, Jiangfeng
    ELECTRIC POWER SYSTEMS RESEARCH, 2014, 116 : 24 - 28
  • [5] Aggregated Load Scheduling for Residential Multi-Class Appliances: Peak Demand Reduction
    Azar, Armin Ghasem
    Jacobsen, Rune Hylsberg
    Zhang, Qi
    2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015,
  • [6] MEASUREMENTS AND SIMULATIONS OF ELECTRICAL DEMAND FROM RESIDENTIAL BUILDINGS FOR PEAK LOAD REDUCTION
    Sadineni, Suresh B.
    Atallah, Fady
    Boehm, Robert F.
    PROCEEDINGS OF THE ASME 5TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY 2011, PTS A-C, 2012, : 1759 - 1767
  • [7] Demand Response in Smart Buildings Through Time-Varying Priority of Household Appliances
    Arun, S. L.
    Raj, Aravind A.
    Selvan, M. P.
    2017 IEEE REGION 10 INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR SMART CITIES (IEEE TENSYMP 2017), 2017,
  • [8] Potential of Active Demand Reduction With Residential Wet Appliances: A Case Study for Belgium
    Labeeuw, Wouter
    Stragier, Jeroen
    Deconinck, Geert
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (01) : 315 - 323
  • [9] A GENERIC ENERGY FLEXIBILITY EVALUATION FRAMEWORK TO CHARACTERISE THE DEMAND RESPONSE POTENTIAL OF RESIDENTIAL BUILDINGS
    Bampoulas, Adamantios
    Saffari, Mohammad
    Pallonetto, Fabiano
    Mangina, Eleni
    Finn, Donal P.
    2020 ASHRAE BUILDING PERFORMANCE ANALYSIS CONFERENCE AND SIMBUILD, 2020, : 156 - 164
  • [10] Residential Demand Response Potential Evaluation in Shandong Province
    Xu, Bo
    Zhang, Fuqiang
    2020 5TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND ENVIRONMENTAL PROTECTION, 2020, 621
12345