An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid

Mohammad Shakeri, Mohsen Shayestegan, Hamza Abunima, S. M Salim Reza, Md. Akhtaruzzaman, A. R M Alamoud, Kamaruzzaman Sopian, Nowshad Amin

Research output: Contribution to journalArticle

67 Citations (Scopus)

Abstract

The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20% a day without sacrificing the user's comfort.

Original languageEnglish
Pages (from-to)154-164
Number of pages11
JournalEnergy and Buildings
Volume138
DOIs
Publication statusPublished - 1 Mar 2017

Fingerprint

Energy management systems
Intelligent systems
Electricity
Energy resources
Electric power utilization
Temperature
Industry
Hot Temperature

Keywords

  • Demand response
  • Home energy management systems (HEMS)
  • Power distribution
  • Smart appliance
  • Smart grid

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Cite this

An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. / Shakeri, Mohammad; Shayestegan, Mohsen; Abunima, Hamza; Reza, S. M Salim; Akhtaruzzaman, Md.; Alamoud, A. R M; Sopian, Kamaruzzaman; Amin, Nowshad.

In: Energy and Buildings, Vol. 138, 01.03.2017, p. 154-164.

Research output: Contribution to journalArticle

Shakeri, Mohammad ; Shayestegan, Mohsen ; Abunima, Hamza ; Reza, S. M Salim ; Akhtaruzzaman, Md. ; Alamoud, A. R M ; Sopian, Kamaruzzaman ; Amin, Nowshad. / An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. In: Energy and Buildings. 2017 ; Vol. 138. pp. 154-164.
@article{7f622fb659f940ac8d1ef6e2a70c367f,
title = "An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid",
abstract = "The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20{\%} a day without sacrificing the user's comfort.",
keywords = "Demand response, Home energy management systems (HEMS), Power distribution, Smart appliance, Smart grid",
author = "Mohammad Shakeri and Mohsen Shayestegan and Hamza Abunima and Reza, {S. M Salim} and Md. Akhtaruzzaman and Alamoud, {A. R M} and Kamaruzzaman Sopian and Nowshad Amin",
year = "2017",
month = "3",
day = "1",
doi = "10.1016/j.enbuild.2016.12.026",
language = "English",
volume = "138",
pages = "154--164",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid

AU - Shakeri, Mohammad

AU - Shayestegan, Mohsen

AU - Abunima, Hamza

AU - Reza, S. M Salim

AU - Akhtaruzzaman, Md.

AU - Alamoud, A. R M

AU - Sopian, Kamaruzzaman

AU - Amin, Nowshad

PY - 2017/3/1

Y1 - 2017/3/1

N2 - The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20% a day without sacrificing the user's comfort.

AB - The Home Energy Management System (HEMS) is an important part of the smart grid that enables the residential customers to execute demand response programs autonomously. This study presents the outcome of a new system architecture and control algorithm that can use both battery storage and manage the temperature of thermal appliances. The proposed algorithm receives the price information from the utility company in advance and purchases the electricity at off-peak hours and utilizes the battery as well as manages the temperature of the thermal appliances during peak hours. The proposed algorithm assures that the power consumption of the electrical appliances is always less than certain level. The proposed house is supported by the battery system and Photovoltaic system as to increase the green index by utilizing alternative energy resource. The amount of the power that can be drained from the battery is limited by the algorithm to remain more during a day. The simulation results indicate that the proposed system is able to reduce the electricity price up to 20% a day without sacrificing the user's comfort.

KW - Demand response

KW - Home energy management systems (HEMS)

KW - Power distribution

KW - Smart appliance

KW - Smart grid

UR - http://www.scopus.com/inward/record.url?scp=85006860819&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85006860819&partnerID=8YFLogxK

U2 - 10.1016/j.enbuild.2016.12.026

DO - 10.1016/j.enbuild.2016.12.026

M3 - Article

VL - 138

SP - 154

EP - 164

JO - Energy and Buildings

JF - Energy and Buildings

SN - 0378-7788

ER -