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Title
Design and validation of a predictive energy management strategy for self-consumption in tertiary buildingsAuthor
Research Group
Accionamientos aplicados a la tracción y a la generación de energía eléctricaAlmacenamiento de energía
xmlui.dri2xhtml.METS-1.0.item-contributorOtherinstitution
https://ror.org/03hp1m080Version
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2022 IEEEAccess
http://purl.org/coar/access_right/c_f1cfPublisher’s version
https://doi.org/10.1109/EEM54602.2022.9921155Published at
2022 18th International Conference on the European Energy Market (EEM) Liubliana, 13-15 Septiembre, 2022Publisher
IEEEKeywords
photovoltaic (PV)
Buildings
Measurement uncertainty
Control systems ... [+]
Buildings
Measurement uncertainty
Control systems ... [+]
photovoltaic (PV)
Buildings
Measurement uncertainty
Control systems
Real-time systems
Battery charge measurement [-]
Buildings
Measurement uncertainty
Control systems
Real-time systems
Battery charge measurement [-]
Abstract
This work presents a predictive energy management strategy for self-consumption in tertiary buildings. The self-consumption is composed of a photovoltaic generation and a battery. The energy managemen ... [+]
This work presents a predictive energy management strategy for self-consumption in tertiary buildings. The self-consumption is composed of a photovoltaic generation and a battery. The energy management strategy is composed of a forecast module, high-level strategy and real-time adaptative control. Due to the daily forecast, significant data was available 24 hours in advance, allowing the energy management strategy to take advantage. The high-level strategy defines the battery’s operation mode for each hour of the day. The real-time adaptative control corrects the possible errors with instant measurements and generates real-time battery commands and its operation mode. With this approach, a reduction of 16.17 % of the electric bill was obtained by comparing it to a scenario without a battery and its correspondent strategy. The development was integrated and validated in a test bench, obtaining a 60.43 % grid independence increase. [-]
