Smart Energy Management for Unlocking Demand Response in the Residential Sector

This paper presents a smart energy management system for unlocking demand response in the UK residential sector. The approach comprises the estimation of one-hour energy demand and PV generation (supply) for scheduling the 24-h ahead demand profiles by shifting potential flexible loads. Real-time el...

Full description

Bibliographic Details
Main Authors: Xiangping Chen, Kui Weng, Fanlin Meng, Monjur Mourshed
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Proceedings
Subjects:
Online Access:http://www.mdpi.com/2504-3900/2/15/1136
id doaj-83ed9010bd05462fbbb102258205108c
record_format Article
spelling doaj-83ed9010bd05462fbbb102258205108c2020-11-24T21:04:33ZengMDPI AGProceedings2504-39002018-08-01215113610.3390/proceedings2151136proceedings2151136Smart Energy Management for Unlocking Demand Response in the Residential SectorXiangping Chen0Kui Weng1Fanlin Meng2Monjur Mourshed3School of Engineering, Cardiff University, Cardiff CF24 3AA, UKSchool of Engineering, Cardiff University, Cardiff CF24 3AA, UKSchool of Engineering, Cardiff University, Cardiff CF24 3AA, UKSchool of Engineering, Cardiff University, Cardiff CF24 3AA, UKThis paper presents a smart energy management system for unlocking demand response in the UK residential sector. The approach comprises the estimation of one-hour energy demand and PV generation (supply) for scheduling the 24-h ahead demand profiles by shifting potential flexible loads. Real-time electrical demand is met by combining power supplies from PV, grid and batteries while minimizing consumer’s cost of energy. The results show that the peak-to-average ratio is reduced by 22.9% with the cost saving of 34.6% for the selected day.http://www.mdpi.com/2504-3900/2/15/1136demand responseresidentialphotovoltaicpeak-to-average ratioload shifting
collection DOAJ
language English
format Article
sources DOAJ
author Xiangping Chen
Kui Weng
Fanlin Meng
Monjur Mourshed
spellingShingle Xiangping Chen
Kui Weng
Fanlin Meng
Monjur Mourshed
Smart Energy Management for Unlocking Demand Response in the Residential Sector
Proceedings
demand response
residential
photovoltaic
peak-to-average ratio
load shifting
author_facet Xiangping Chen
Kui Weng
Fanlin Meng
Monjur Mourshed
author_sort Xiangping Chen
title Smart Energy Management for Unlocking Demand Response in the Residential Sector
title_short Smart Energy Management for Unlocking Demand Response in the Residential Sector
title_full Smart Energy Management for Unlocking Demand Response in the Residential Sector
title_fullStr Smart Energy Management for Unlocking Demand Response in the Residential Sector
title_full_unstemmed Smart Energy Management for Unlocking Demand Response in the Residential Sector
title_sort smart energy management for unlocking demand response in the residential sector
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2018-08-01
description This paper presents a smart energy management system for unlocking demand response in the UK residential sector. The approach comprises the estimation of one-hour energy demand and PV generation (supply) for scheduling the 24-h ahead demand profiles by shifting potential flexible loads. Real-time electrical demand is met by combining power supplies from PV, grid and batteries while minimizing consumer’s cost of energy. The results show that the peak-to-average ratio is reduced by 22.9% with the cost saving of 34.6% for the selected day.
topic demand response
residential
photovoltaic
peak-to-average ratio
load shifting
url http://www.mdpi.com/2504-3900/2/15/1136
work_keys_str_mv AT xiangpingchen smartenergymanagementforunlockingdemandresponseintheresidentialsector
AT kuiweng smartenergymanagementforunlockingdemandresponseintheresidentialsector
AT fanlinmeng smartenergymanagementforunlockingdemandresponseintheresidentialsector
AT monjurmourshed smartenergymanagementforunlockingdemandresponseintheresidentialsector
_version_ 1716770628429676544