• DocumentCode
    55249
  • Title

    Modeling and Validation of Electrical Load Profiling in Residential Buildings in Singapore

  • Author

    Luo Chuan ; Ukil, Abhisek

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ. (NTU), Singapore, Singapore
  • Volume
    30
  • Issue
    5
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    2800
  • Lastpage
    2809
  • Abstract
    The demand of electricity keeps increasing in this modern society and the behavior of customers vary greatly from time to time, city to city, type to type, etc. Generally, buildings are classified into residential, commercial and industrial. This study is aimed to distinguish the types of residential buildings in Singapore and establish a mathematical model to represent and model the load profile of each type. Modeling household energy consumption is the first step in exploring the possible demand response and load reduction opportunities under the smart grid initiative. Residential electricity load profiling includes the details on the electrical appliances, its energy requirement, and consumption pattern. The model is generated with a bottom-up load model. Simulation is performed for daily load profiles of 1 or 2 rooms, 3 rooms, 4 rooms and 5 rooms public housing. The simulated load profile is successfully validated against the measured electricity consumption data, using a web-based Customer Energy Portal (CEP) at the campus housings of Nanyang Technological University, Singapore.
  • Keywords
    buildings (structures); demand side management; Singapore; customer energy portal; demand response; electrical load profiling; household energy consumption; load reduction; residential buildings; smart grid initiative; Buildings; Electricity; Energy consumption; Home appliances; Load modeling; Mathematical model; Smart grids; AMI; DSM; LV; building energy; demand side management; energy efficiency; energy portal; load modeling; load profile; low voltage; smart grid; smart meter;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2367509
  • Filename
    6965659