Open Energy Management System; Component Communication; Edit this … Contact online >>
Open Energy Management System; Component Communication; Edit this
Every OpenEMS Component is identified by a unique ID, the "Component-ID". In an
The OpenEMS Annual Conference, held on November 29, 2024, brought together energy enthusiasts, developers, and industry experts for a day of insightful discussions and collaborative planning. The keynote session, led by Stefan Feilmeier, set the tone for the event by highlighting the critical role of OpenEMS in the global energy transition. This blog post recaps the key points from the keynote, emphasizing the impulse given to the OpenEMS community to drive innovation and collaboration forward.
Stefan Feilmeier kicked off the session by welcoming participants both in-person and online. He emphasized the flexible nature of the conference, encouraging attendees to propose topics and host sessions. Feilmeier’s keynote provided a visionary perspective on OpenEMS, discussing its role in smart energy management and the evolving energy landscape.
Feilmeier addressed the pressing global challenges, including climate change, protectionism, and war, which are reshaping the energy infrastructure. He highlighted the need for resilient and secure energy management systems, emphasizing the advantages of open-source solutions like OpenEMS. Despite these challenges, Feilmeier remained optimistic about the energy transition, noting the widespread adoption of renewable energy sources and the integration of electric mobility.
OpenEMS was positioned as a crucial tool for managing energy intelligently, saving CO2, and reducing costs. Feilmeier discussed the complexity of energy management and the need for collaborative development. He highlighted the success of OpenEMS, citing its thriving community, hackathons, and the significant value of its source code. The community’s engagement and the platform’s flexibility make OpenEMS a robust solution for various energy management applications.
Feilmeier announced upcoming technical updates for OpenEMS, including upgrades to Java 21 and new features in Angular. He introduced the concept of energy scheduling algorithms using genetic algorithms, describing it as a disruptive innovation in energy management. This approach allows for multi-objective optimization, making it easier to manage complex energy systems efficiently.
The keynote emphasized the importance of community engagement and collaboration. Feilmeier invited participants to discuss market needs, complexities, and the problems they face. He encouraged attendees to join the OpenEMS Community Forum and contribute to the development of the platform. The session concluded with a call to action, urging the community to work together towards a sustainable and resilient energy future.
The OpenEMS Annual Conference keynote provided a comprehensive overview of the platform’s role in the energy transition. Stefan Feilmeier’s insights underscored the importance of open-source solutions, community collaboration, and technological innovation. The impulse given to the OpenEMS community during the session will undoubtedly drive further advancements and collaborative efforts in the energy management sector.
Today at the OpenEMS Conference, Stefan Feilmeier delivered a captivating session on the challenges of mathematical optimization in energy management and how generic algorithms can provide elegant solutions. He started by highlighting the limitations of traditional approaches, making a strong case for why we need to explore new avenues.
The OpenEMS Conference is buzzing with excitement, and it’s no wonder why! Stefan Feilmeier, a leading expert in energy management systems, just delivered a captivating session that has everyone talking. He tackled the limitations of traditional optimization techniques head-on and unveiled how OpenEMS is pioneering a revolutionary approach using generic algorithms.
Feilmeier didn’t mince words when describing the challenges of optimizing energy systems in our dynamic world of fluctuating demands and intermittent renewable energy sources. He painted a clear picture of why common methods like linear equation systems and mixed integer linear programming (MILP) simply don’t cut it anymore.
This is where things get really interesting. Feilmeier introduced generic algorithms as the key to unlocking a new era of energy optimization. Inspired by natural evolutionary processes, these algorithms are incredibly flexible and adaptable. They can handle the complex, non-linear constraints of real-world energy systems with ease and are perfectly suited for real-time control.
Imagine a population of potential solutions evolving over generations. Genetic algorithms, a type of generic algorithm, mimic natural selection by „breeding“ new solutions from the best performers of the previous generation. Through a process of combining and mutating these solutions, the algorithm gradually converges on an optimal or near-optimal solution.
Another powerful technique is simulated annealing. Inspired by the annealing process in metallurgy, this algorithm starts with a random solution and explores neighboring solutions, sometimes even accepting worse solutions to avoid getting stuck in a local optimum. Think of it like exploring a mountain range – sometimes you need to climb down a valley to reach an even higher peak.
OpenEMS takes this innovation a step further by shifting the focus from optimizing raw power output to optimizing operating modes. Instead of getting lost in a sea of minute power adjustments, OpenEMS leverages predefined „smart“ modes that encapsulate intelligent strategies for managing energy flow.
By optimizing the sequence and timing of these modes, OpenEMS achieves effective energy management without the computational burden of traditional methods. This approach also significantly improves interpretability, making it easier to understand and act on the optimization results.
Feilmeier likely went on to explain how OpenEMS seamlessly integrates these powerful optimization techniques with its other components, such as device controllers, data loggers, and user interfaces. This ensures smooth communication and allows for real-time adaptation to changing conditions.
Feilmeier’s session left the audience with a clear message: OpenEMS is pushing the boundaries of energy optimization. By combining the power of generic algorithms with the elegance of operating modes, OpenEMS is making intelligent energy management more accessible and effective than ever before.
Dive into the OpenEMS documentation, explore the community forum, and stay tuned for more exciting updates from the OpenEMS Conference!
Im September 2024 fand bei SlashWhy ein Hackathon statt, bei dem ein besonderes Projekt das Licht der Welt erblickte: die CO₂-Ampel.
Dieses Tool visualisiert nicht nur die aktuelle CO₂-Emission von Strombezug an einem Ort in Deutschland, sondern liefert auch eine Vorhersage für die kommenden 24 Stunden. Diese Ampel hilft dabei, energieintensive Tätigkeiten zu optimieren und CO₂-Emissionen zu reduzieren – ein weiterer Schritt in Richtung eines effizienten Energiemanagements.
Wenn man anfängt, sich mit Energiemanagement zu beschäftigen, hat man oft die Vision, Energieflüsse zu optimieren und nachhaltiger zu gestalten. Doch in der Praxis wurden diese Ziele oft durch technische Herausforderungen gebremst, insbesondere bei der Integration verschiedener Geräte in das Energiemanagementsystem.
Beim OpenEMS Hackathon 2023 in Deggendorf haben wir diese Hürden hinter uns gelassen und können uns endlich auf das konzentrieren, was wirklich zählt: smarte Optimierungen, die unsere ursprünglichen Visionen verwirklichen.
Ein konkretes Ziel des Energiemanagements ist die Einsparung von CO₂-Emissionen. Die Menge der Emissionen, die durch den Stromverbrauch entstehen, variiert je nach Zeitpunkt, Wetter und geografischem Ort. Hier kommt der GrünstromIndex ins Spiel: Er prognostiziert, wann der Stromverbrauch besonders umweltfreundlich ist. Dadurch kann ein Zeitplan erstellt werden, der beispielsweise die Ladung eines Elektroautos so optimiert, dass es zu Zeiten geschieht, in denen der Strommix am saubersten ist.
Auf https://openems.io/co2ampel/ gibt es nun eine Visualisierung des GrünstromIndex in Form einer Ampel. Zusätzlich findet ihr dort ein kleines Quiz: „Du möchtest Dein Auto fünf Stunden laden, wann ist der beste Zeitpunkt, um damit zu beginnen?“ So könnt ihr selbst testen, wie der GrünstromIndex dabei hilft, die besten Ladezeiten zu identifizieren.
Die Realität ist oft komplizierter, aber dieses einfache Beispiel verdeutlicht, wie sowohl Menschen als auch Maschinen auf Basis von Vorhersagen optimale Pläne erstellen können. Der Vorteil von Software wie OpenEMS ist, dass sie kontinuierlich arbeitet und eine Vielzahl von Bedingungen gleichzeitig berücksichtigt, ohne müde zu werden.
Die CO₂-Ampel, die im Hackathon entwickelt wurde, löst zwar nicht alle Herausforderungen des Stromnetzes, aber sie bietet einen einfachen und verständlichen Einstieg in das Thema Energiemanagement. Wie sich in Gesprächen nach dem Hackathon gezeigt hat, bringt die Analogie zur Verkehrsampel viel Klarheit in die oft abstrakten und komplexen Konzepte des Energiemanagements.
Im Oktober wird CTO und Co-Founder Marco Batschkowski sein Unternehmen Levl Energy als neues Mitglied der OpenEMS Association im Rahmen des Networking Friday vorstellen. Im Rahmen dessen wird er uns auch gleich präsentieren, welche Anpassungen sie bei OpenEMS gemacht haben um ihr Geschäftsmodell zu etablieren.
Wie immer wird es direkt im Anschluss genug Raum zum entspannten Austausch zum Thema geben und wir freuen uns auf zahlreiche Teilnehmer.
SunLink Energy ist einer der neuesten Mitglieder bei OpenEMS. Wir freuen uns auf die Beweggründe dahinter und was sie schon mit OpenEMS umgesetzt haben.
Christof Wiedmann war drei Tage auf dem Stand der OpenEMS bei der EM-Power vor Ort am Netzwerken – Eindrücke, Ergebnisse, Erfahrungen und vielleicht der ein oder andere Gast werden bei diesem Networking Friday vorgestellt.
Aufgrund eines Terminkonflikts wird der Networking Friday um eine Woche verschoben auf den 02. August.
Wir laden Euch herzlich ein zum OpenEMS Hackathon Q3/2024
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