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...
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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 |