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  5. Electric load behaviour and DSM potential of office buildings
Details

Electric load behaviour and DSM potential of office buildings

Publisher
Elsevier
Source
Energy and Buildings, 100, 43-49
Journal
ISSN
0378-7788
Date Issued
2015
Author(s)
DOI
10.1016/j.enbuild.2014.12.046
Abstract
Due to the rising use of fluctuating renewable energy production, electricity production curve in thefuture will not be able to follow the demand curve anymore. Therefore, time-critical, variable chargesare likely to be introduced. Whereas large consumers of electricity already have to pay attention tothis issue – the peak demand is measured and cost effective for customers with a consumption higherthan 100,000 kW h or connection power more than 50 kW [1] – the topic will become relevant for othercustomers in the future. Due to the roll-out of smart metres, it is very likely that time-relevant tariffs willbecome standard for all kinds of users, which means that the moment of electricity consumption willbe cost-relevant. This paper deals with the electric load behaviour of office buildings and their potentialto use demand side management (DSM) to optimise load behaviour. Because of use during the day,when prices are usually higher than during the night, office buildings mainly demand electrical energyduring periods of high prices. By identification and utilisation of DSM potential, considerable sections ofthe demand can be shifted to hours with lower prices. Concerning integration of photovoltaic systems,two aspects has to be taken into account. When PV is an additional option to reduce electrical energydemand during high prices, on-site produced electricity should be also used on-site and therefore it hasto be assured, that demand does not fall below PV-production. Another possibility to shift loads is to usethermal or electrochemical storage systems.
URI
https://people.hochschule-burgenland.at/handle/20.500.11790/369
Subjects
Demand side management
Smart grid
Storage
Photovoltaic grid integration
Demand response
Load management
Type
Wissenschaftlicher Artikel
File(s)
Thumbnail Image
Name

Puchegger electric load 2015.pdf

Size

1.98 MB

Format

Adobe PDF

Checksum (MD5)

65abac4719a7cb867f7f196a37664f8f

 

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