Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings

Marco Caccamo; Daniele Bernardini

doi:10.1145/3600100.3626267

Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings

Marco Caccamo, Daniele Bernardini

Lehrstuhl für Cyber-Physical Systems in Production Engineering

Technische Universität München

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

As photovoltaic (PV) equipment gains traction in residential and commercial buildings, the need for systems optimizing energy efficiency and self-consumption becomes critical. This paper presents an integrated management framework that utilizes Commercial-Off-The-Shelf (COTS) components to maximize PV self-consumption in residential settings. The framework employs reactive activation rules based on sensor readings and battery charge levels, modulating consumption across three quality of service levels. Preliminary experimental results indicate a self-consumption rate exceeding 65%, while simulations suggest rates up to 98% are achievable with optimized battery capacity.

Originalsprache	Englisch
Titel	BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
Herausgeber (Verlag)	Association for Computing Machinery, Inc
Seiten	294-295
Seitenumfang	2
ISBN (elektronisch)	9798400702303
DOIs	https://doi.org/10.1145/3600100.3626267
Publikationsstatus	Veröffentlicht - 15 Nov. 2023
Veranstaltung	10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023 - Istanbul, Türkei Dauer: 15 Nov. 2023 → 16 Nov. 2023

Publikationsreihe

Name	BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Konferenz

Konferenz	10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023
Land/Gebiet	Türkei
Ort	Istanbul
Zeitraum	15/11/23 → 16/11/23

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Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

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10.1145/3600100.3626267

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Caccamo, M., & Bernardini, D. (2023). Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. in BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (S. 294-295). (BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation). Association for Computing Machinery, Inc. https://doi.org/10.1145/3600100.3626267

Caccamo, Marco ; Bernardini, Daniele. / Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. Association for Computing Machinery, Inc, 2023. S. 294-295 (BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation).

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title = "Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings",

abstract = "As photovoltaic (PV) equipment gains traction in residential and commercial buildings, the need for systems optimizing energy efficiency and self-consumption becomes critical. This paper presents an integrated management framework that utilizes Commercial-Off-The-Shelf (COTS) components to maximize PV self-consumption in residential settings. The framework employs reactive activation rules based on sensor readings and battery charge levels, modulating consumption across three quality of service levels. Preliminary experimental results indicate a self-consumption rate exceeding 65%, while simulations suggest rates up to 98% are achievable with optimized battery capacity.",

author = "Marco Caccamo and Daniele Bernardini",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023 ; Conference date: 15-11-2023 Through 16-11-2023",

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doi = "10.1145/3600100.3626267",

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Caccamo, M & Bernardini, D 2023, Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. in BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Association for Computing Machinery, Inc, S. 294-295, 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023, Istanbul, Türkei, 15/11/23. https://doi.org/10.1145/3600100.3626267

Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. / Caccamo, Marco; Bernardini, Daniele.
BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. Association for Computing Machinery, Inc, 2023. S. 294-295 (BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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N2 - As photovoltaic (PV) equipment gains traction in residential and commercial buildings, the need for systems optimizing energy efficiency and self-consumption becomes critical. This paper presents an integrated management framework that utilizes Commercial-Off-The-Shelf (COTS) components to maximize PV self-consumption in residential settings. The framework employs reactive activation rules based on sensor readings and battery charge levels, modulating consumption across three quality of service levels. Preliminary experimental results indicate a self-consumption rate exceeding 65%, while simulations suggest rates up to 98% are achievable with optimized battery capacity.

AB - As photovoltaic (PV) equipment gains traction in residential and commercial buildings, the need for systems optimizing energy efficiency and self-consumption becomes critical. This paper presents an integrated management framework that utilizes Commercial-Off-The-Shelf (COTS) components to maximize PV self-consumption in residential settings. The framework employs reactive activation rules based on sensor readings and battery charge levels, modulating consumption across three quality of service levels. Preliminary experimental results indicate a self-consumption rate exceeding 65%, while simulations suggest rates up to 98% are achievable with optimized battery capacity.

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Caccamo M, Bernardini D. Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings. in BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. Association for Computing Machinery, Inc. 2023. S. 294-295. (BuildSys 2023 - Proceedings of the10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation). doi: 10.1145/3600100.3626267

Service Class Based Management Framework of Photovoltaic Self-Consumption for Existing Residential Buildings

Abstract

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