Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads

Due to the rapid changes in the energy situation on a global scale, the amount of RES installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power Generators (WGs) is rapidly increasing. As a result, there has been a great deal of research aimed at promoting the adoption o...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kanato Tamashiro, Talal Alharbi, Alexey Mikhaylov, Ashraf M. Hemeida, Narayanan Krishnan, Mohammed Elsayed Lotfy, Tomonobu Senjyu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
T
Acceso en línea:https://doaj.org/article/86697dc350af48af94813a254de63427
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:86697dc350af48af94813a254de63427
record_format dspace
spelling oai:doaj.org-article:86697dc350af48af94813a254de634272021-11-11T16:02:55ZInvestigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads10.3390/en142173141996-1073https://doaj.org/article/86697dc350af48af94813a254de634272021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7314https://doaj.org/toc/1996-1073Due to the rapid changes in the energy situation on a global scale, the amount of RES installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power Generators (WGs) is rapidly increasing. As a result, there has been a great deal of research aimed at promoting the adoption of renewable energy. Research on Demand-side Management (DSM) has also been important in promoting the adoption of RES. However, the massive introduction of PV has changed the shape of the demand curve for electricity, which significantly impacts the operational planning of thermal generators. Therefore, this paper proposes an Advanced Direct Load Control (ADLC) model to temporarily shutdown the electric connection between the power grid and Smart Houses (SHs). The most important feature of the proposed model is that it temporarily shuts down the electric connection with the power grid. The shutdown is performed twice to increase the load demand during daytime hours and reduce the peak load during night-time hours. The proposed model also promotes the self-consumption of the generated power during the shutdown period, which is expected to reduce the operating cost. This paper considers six case studies for SH, and the operational costs and carbon dioxide emissions are compared and discussed. The results show that the SH with ADLC successfully reduces the operating costs and carbon dioxide emissions.Kanato TamashiroTalal AlharbiAlexey MikhaylovAshraf M. HemeidaNarayanan KrishnanMohammed Elsayed LotfyTomonobu SenjyuMDPI AGarticlesmart houserenewable energyheat pumpadvanced direct load controlTechnologyTENEnergies, Vol 14, Iss 7314, p 7314 (2021)
institution DOAJ
collection DOAJ
language EN
topic smart house
renewable energy
heat pump
advanced direct load control
Technology
T
spellingShingle smart house
renewable energy
heat pump
advanced direct load control
Technology
T
Kanato Tamashiro
Talal Alharbi
Alexey Mikhaylov
Ashraf M. Hemeida
Narayanan Krishnan
Mohammed Elsayed Lotfy
Tomonobu Senjyu
Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads
description Due to the rapid changes in the energy situation on a global scale, the amount of RES installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power Generators (WGs) is rapidly increasing. As a result, there has been a great deal of research aimed at promoting the adoption of renewable energy. Research on Demand-side Management (DSM) has also been important in promoting the adoption of RES. However, the massive introduction of PV has changed the shape of the demand curve for electricity, which significantly impacts the operational planning of thermal generators. Therefore, this paper proposes an Advanced Direct Load Control (ADLC) model to temporarily shutdown the electric connection between the power grid and Smart Houses (SHs). The most important feature of the proposed model is that it temporarily shuts down the electric connection with the power grid. The shutdown is performed twice to increase the load demand during daytime hours and reduce the peak load during night-time hours. The proposed model also promotes the self-consumption of the generated power during the shutdown period, which is expected to reduce the operating cost. This paper considers six case studies for SH, and the operational costs and carbon dioxide emissions are compared and discussed. The results show that the SH with ADLC successfully reduces the operating costs and carbon dioxide emissions.
format article
author Kanato Tamashiro
Talal Alharbi
Alexey Mikhaylov
Ashraf M. Hemeida
Narayanan Krishnan
Mohammed Elsayed Lotfy
Tomonobu Senjyu
author_facet Kanato Tamashiro
Talal Alharbi
Alexey Mikhaylov
Ashraf M. Hemeida
Narayanan Krishnan
Mohammed Elsayed Lotfy
Tomonobu Senjyu
author_sort Kanato Tamashiro
title Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads
title_short Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads
title_full Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads
title_fullStr Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads
title_full_unstemmed Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads
title_sort investigation of home energy management with advanced direct load control and optimal scheduling of controllable loads
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/86697dc350af48af94813a254de63427
work_keys_str_mv AT kanatotamashiro investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
AT talalalharbi investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
AT alexeymikhaylov investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
AT ashrafmhemeida investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
AT narayanankrishnan investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
AT mohammedelsayedlotfy investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
AT tomonobusenjyu investigationofhomeenergymanagementwithadvanceddirectloadcontrolandoptimalschedulingofcontrollableloads
_version_ 1718432425879535616