Jamal, Taskin und Carter, Craig und Schmidt, Thomas und Shafiullah, GM und Calais, Martina und Urmee, Tanja (2019) An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system. Applied Energy, 254 (113718). Elsevier. doi: 10.1016/j.apenergy.2019.113718. ISSN 0306-2619.
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Offizielle URL: https://www.sciencedirect.com/science/article/abs/pii/S0306261919314059?via%3Dihub
Kurzfassung
One of the primary technical challenges of integrating high levels of PV generation into standalone off-grid power supply systems is their variable power output characteristics. In dealing with this issue, the integration of reliable PV forecasting techniques and preferably energy storage, are highly effective. Applying a short-term PV forecasting method, together with a compensatory controllable resource, can help in the management of system operation. This study incorporates the development of an energy flow modelling tool that has been used to analyse the benefits of 1-minute ahead PV forecasting and battery storage for different system configurations. Based on the five days of 1-minute ahead forecasting results analysed, it is found that PV forecasting enables the prosumer to install more than double the PV capacity, compared to the allowed installed PV capacity when no forecasting is employed. This additional PV capacity saves around 24-25% (on average) of diesel fuel per day for the diesel-PV-battery configuration. The outcomes evidently indicate that incorporating 1-minute ahead PV forecasting enables a significant increase of PV hosting capacity of the system, without compromising the reliability of the system.
elib-URL des Eintrags: | https://elib.dlr.de/130782/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 15 November 2019 | ||||||||||||||||||||||||||||
Erschienen in: | Applied Energy | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
Band: | 254 | ||||||||||||||||||||||||||||
DOI: | 10.1016/j.apenergy.2019.113718 | ||||||||||||||||||||||||||||
Herausgeber: |
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Verlag: | Elsevier | ||||||||||||||||||||||||||||
ISSN: | 0306-2619 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Energy flow modelling tool, Short-term PV forecasting, PV hosting capacity, PV penetration level, Standalone off-grid power supply system, remote area electricity | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||||||
HGF - Programm: | TIG Technologie, Innovation und Gesellschaft | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erneuerbare Energie- und Materialressourcen für eine nachhaltige Zukunft | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | E SY - Energiesystemanalyse | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Systemanalyse und Technikbewertung (alt) | ||||||||||||||||||||||||||||
Standort: | Oldenburg | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Vernetzte Energiesysteme > Energiesystemanalyse | ||||||||||||||||||||||||||||
Hinterlegt von: | Schmidt, Thomas | ||||||||||||||||||||||||||||
Hinterlegt am: | 16 Dez 2019 12:26 | ||||||||||||||||||||||||||||
Letzte Änderung: | 07 Apr 2020 14:54 |
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