Green and Energy Monitoring for Future Network Infrastructures enabling also Large Deployments (GREENFIELD)

Partner	Infosim GmbH & Co. KG Städtische Werke Überlandwerke Coburg (SÜC) GmbH Assoziierter Partner: Bechtle GmbH & Co. KG, IT-Systemhaus Regensburg
Laufzeit	Januar 2024 – Dezember 2026
Geldgeber	BayVFP Förderlinie Digitalisierung „Informations- und Kommunikationstechnologie“
Mitarbeiter	Prof. Dr. Tobias Hoßfeld Dr. Frank Loh Noah Mehling M.Sc.

Projektbeschreibung

Die massive Anzahl an physischen und virtuellen Endgeräten in drahtgebundenen und drahtlosen Netzen in industriellen Anwendungsfällen und digitalen Smart City-Entwicklungskonzepten führt zu einem immer höheren Energieverbrauch und daraus resultierender Umweltbelastung. Trotz dem Versprechen einer nachhaltigeren Zukunft durch 6G und zukünftiger Netztechnologien, muss die ökologische Nachhaltigkeit in den Netzen ein nativ zu integrierendes Paradigma sein. In Kommunikationsnetzen ist diese jedoch schwer zu fassen und quantifizieren oder stellt einen Trade-off zwischen Dienstqualität und Energieverbrauch da.

Das Ziel von GREENFIELD ist es, Energieeffizienz und ökologische Nachhaltigkeit in Kommunikationsnetzen zu definieren und zu erfassen (Green Monitoring), um darauf aufbauend Optimierungs- und Einsparpotential in bestehenden Netzen und Anwendungsfällen zu erforschen und Mechanismen zur Umsetzung (Green Management) zu entwickeln und zu demonstrieren. Die Ergebnisse von GREENFIELD helfen, Energieeffizienz und ökologische Nachhaltigkeit in zukünftigen Netzen wie 6G zu messen, Entscheidungen hinsichtlich Nachhaltigkeit zu unterstützen oder Netze automatisiert nachhaltiger zu gestalten und grüner zu betreiben. Mit GREENFIELD adressieren wir gesellschaftlich relevante Aspekte des Energieverbrauch und Nachhaltigkeit und erforschen Lösungsansätze für die Praxis.

Die Projektpartner Infosim GmbH & Co. KG, Städtische Überlandwerke Coburg GmbH (SÜC) und der Lehrstuhl für Kommunikationsnetze der Universität Würzburg (JMU) widmen sich diesen Problemen und vereinen die notwendige Expertise: Infosim im Bereich der Netzüberwachung und -management, SÜC für den Netzausbau und – Betrieb sowie Leistungsbewertung der Netzqualität und von Nachhaltigkeit durch die JMU.

Pressebericht zum Projektstart

Projektziele

Sustainability Definition

Definition von Sustainability hinsichtlich Energie- und CO 2 Verbrauch bzw. Effizienz
Messtechnische Erfassung der Sustainability

Modellentwicklung

Anhand messbarer Parameter und Kontextparameter werden Modelle der Sustainability erstellt
Modellvalidierung und Erklärbarkeit sicherstellen

Green Monitoring und Management Architektur

Entwicklung einer Architektur, die Green Monitoring unterstützt
Integration mit Standardisierung und existierenden Protokollen

Bewertung der Architektur

Leistungsbewertung hinsichtlich Genauigkeit des Monitorings und Kosten/Nutzen Abwägung bezüglich Verbesserung der Nachhaltigkeit
Demonstration anhand ausgewählter Use Cases

Verwandte Publikationen

Plan the Access? Generic Hardware Independent Energy Consumption and Efficiency Model for Different LoRaWAN Channel Access Approaches. Loh, Frank; Raffeck, Simon; Geißler, Stefan; Hoßfeld, Tobias. In IEEE Internet of Things Journal. 2024.
- [ BibTeX ]
- [ EndNote ]
@article{info3-article-2024-3, author = {Loh, Frank and Raffeck, Simon and Geißler, Stefan and Hoßfeld, Tobias}, journal = {IEEE Internet of Things Journal}, keywords = {sys:hidden:article}, month = {02}, title = {Plan the Access? Generic Hardware Independent Energy Consumption and Efficiency Model for Different LoRaWAN Channel Access Approaches}, year = 2024 }

%0 Journal Article %1 info3-article-2024-3 %A Loh, Frank %A Raffeck, Simon %A Geißler, Stefan %A Hoßfeld, Tobias %D 2024 %J IEEE Internet of Things Journal %T Plan the Access? Generic Hardware Independent Energy Consumption and Efficiency Model for Different LoRaWAN Channel Access Approaches
Analysis of Energy Intensity and Generic Energy Efficiency Metrics in Communication Networks: Limits, Practical Applications, and Case Studies. Hossfeld, Tobias; Wunderer, Stefan; Loh, Frank; Schien, Daniel. In IEEE Access, 12, S. 105527–105549. 2024.
- [ Abstract ]
- [ BibTeX ]
- [ EndNote ]
Energy intensity is the ratio between energy consumed and data volume over a certain time frame. It is frequently used as a metric to indicate the energy efficiency of communication networks and data centres for the provision of digital services, and as a coefficient to apportion the total energy consumption of a network to a specific service. As energy efficiency becomes more important, energy intensity metrics are increasingly used to estimate the energy costs and benefits of changes in data volumes across networks and data centres. Typically, energy intensity integrates annual accounts of energy consumption and data transmitted. At shorter time scales, this metric is affected by the lack of correlation between transmitted data and energy consumption, which leads in some cases to inappropriate conclusions. In this work, we first review the use of energy efficiency metrics in the literature. Then, we define generic measures for energy efficiency as well as energy intensity. The relationships of those measures are analysed, and we show under which conditions they lead to the same or different results. Practical applications of the measures and their insights are demonstrated when benchmarking systems and when considering the value of the system’s output. Furthermore, the limits and pitfalls of the metrics are analysed, especially considering the energy intensity metric for communication networks.

@article{10614603, abstract = {Energy intensity is the ratio between energy consumed and data volume over a certain time frame. It is frequently used as a metric to indicate the energy efficiency of communication networks and data centres for the provision of digital services, and as a coefficient to apportion the total energy consumption of a network to a specific service. As energy efficiency becomes more important, energy intensity metrics are increasingly used to estimate the energy costs and benefits of changes in data volumes across networks and data centres. Typically, energy intensity integrates annual accounts of energy consumption and data transmitted. At shorter time scales, this metric is affected by the lack of correlation between transmitted data and energy consumption, which leads in some cases to inappropriate conclusions. In this work, we first review the use of energy efficiency metrics in the literature. Then, we define generic measures for energy efficiency as well as energy intensity. The relationships of those measures are analysed, and we show under which conditions they lead to the same or different results. Practical applications of the measures and their insights are demonstrated when benchmarking systems and when considering the value of the system’s output. Furthermore, the limits and pitfalls of the metrics are analysed, especially considering the energy intensity metric for communication networks.}, author = {Hossfeld, Tobias and Wunderer, Stefan and Loh, Frank and Schien, Daniel}, journal = {IEEE Access}, keywords = {sys:hidden:article}, pages = {105527-105549}, title = {Analysis of Energy Intensity and Generic Energy Efficiency Metrics in Communication Networks: Limits, Practical Applications, and Case Studies}, volume = 12, year = 2024 }

%0 Journal Article %1 10614603 %A Hossfeld, Tobias %A Wunderer, Stefan %A Loh, Frank %A Schien, Daniel %D 2024 %J IEEE Access %P 105527-105549 %R 10.1109/ACCESS.2024.3435716 %T Analysis of Energy Intensity and Generic Energy Efficiency Metrics in Communication Networks: Limits, Practical Applications, and Case Studies %V 12 %X Energy intensity is the ratio between energy consumed and data volume over a certain time frame. It is frequently used as a metric to indicate the energy efficiency of communication networks and data centres for the provision of digital services, and as a coefficient to apportion the total energy consumption of a network to a specific service. As energy efficiency becomes more important, energy intensity metrics are increasingly used to estimate the energy costs and benefits of changes in data volumes across networks and data centres. Typically, energy intensity integrates annual accounts of energy consumption and data transmitted. At shorter time scales, this metric is affected by the lack of correlation between transmitted data and energy consumption, which leads in some cases to inappropriate conclusions. In this work, we first review the use of energy efficiency metrics in the literature. Then, we define generic measures for energy efficiency as well as energy intensity. The relationships of those measures are analysed, and we show under which conditions they lead to the same or different results. Practical applications of the measures and their insights are demonstrated when benchmarking systems and when considering the value of the system’s output. Furthermore, the limits and pitfalls of the metrics are analysed, especially considering the energy intensity metric for communication networks.

Hubland Süd, Geb. M2

Green and Energy Monitoring for Future Network Infrastructures enabling also Large Deployments (GREENFIELD)

Projektbeschreibung

Projektziele

Verwandte Publikationen

Hinweis zum Datenschutz

Hinweis zum Datenschutz

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