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Thermal Modelling of a Control Center for Flexibility Analysis in nZEB Nanogrids

  • Due to the increasing share of volatile renewable energy sources, like photovoltaics (PV) and wind energy in nearly Zero Energy Buildings (nZEB), there is an increasing need for demand-side management (DSM) or demand response (DR) programs to balance the production and consumption in the grid. The flexibility that can be obtained for smart grids from such DR methods is not limited to appliances like water heaters or dishwashers but can also be achieved with space heating and air-conditioning. In such an interdisciplinary investigation, often one part is simplified, in this case, typically either the thermal models or the implemented DR strategy are very detailed. In this work, a detailed thermal model of a control center is obtained and calibrated in IDA ICE building-modelling software with measurements from a test site in Germany. Afterward, several price-based load matching algorithms are applied to the model to see the possible flexibility exploitation with the thermal capacity of this small building. Not all investigatedDue to the increasing share of volatile renewable energy sources, like photovoltaics (PV) and wind energy in nearly Zero Energy Buildings (nZEB), there is an increasing need for demand-side management (DSM) or demand response (DR) programs to balance the production and consumption in the grid. The flexibility that can be obtained for smart grids from such DR methods is not limited to appliances like water heaters or dishwashers but can also be achieved with space heating and air-conditioning. In such an interdisciplinary investigation, often one part is simplified, in this case, typically either the thermal models or the implemented DR strategy are very detailed. In this work, a detailed thermal model of a control center is obtained and calibrated in IDA ICE building-modelling software with measurements from a test site in Germany. Afterward, several price-based load matching algorithms are applied to the model to see the possible flexibility exploitation with the thermal capacity of this small building. Not all investigated algorithms show good performance but some of them show promising results. Thus, this model can be used for DR methods and should be extended to work with more DSM strategies and provide ancillary services.show moreshow less

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Metadaten
Author:Tobias Häring, Argo RosinORCiD, Tulle M. Kull, Jorge Helguero, Helmuth Biechl
DOI:https://doi.org/10.1109/RTUCON51174.2020.9316568
Parent Title (English):2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
Subtitle (German):Riga, 5-7 Nov. 2020
Publisher:IEEE
Document Type:conference proceeding (article)
Language:English
Date of Publication (online):2020/11/05
Year of first Publication:2020
Tag:pebbles
Number of pages:6 Seiten
Institutes:Fakultät Elektrotechnik
IEES - Institut für Elektrische Energiesysteme
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften
Research focus:FSP1: Energie
Publication Lists:Biechl, Helmuth
Helguero, Jorge
Research Project:pebbles – Peer-to-Peer Energiehandel auf Basis von Blockchains
Publication reviewed:begutachtet
Release Date:2021/02/01
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