Data Based Optimization of Hybrid Energy Management

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Recording of Tuesday, May 06, 2025 | The smarter E Europe Conferences 2025 | Conference Program | Language: English | Duration: 16:23 .

AI-Driven Transcription and Telematics Innovations Propel Industrial Efficiency and Sustainable Energy Management

The transcript from aiconver AI delves into the transformative role of artificial intelligence across various industries, emphasizing its impact on automation, data analysis, and decision-making. It highlights the necessity for integrating AI with existing systems to enhance efficiency in sectors like healthcare, finance, manufacturing, and customer service while addressing ethical challenges such as privacy concerns and regulatory needs. The conversation also explores advancements in machine learning that improve prediction accuracy and user personalization. Furthermore, it discusses human-machine collaboration where AI serves as an augmentative tool rather than replacing humans entirely. Zeppelin's focus is on power systems involving combustion engines but recognizes a shift towards electrification without prioritizing batteries; instead viewing them as enhancements to electric systems. They aim to address inefficiencies caused by fluctuating loads through telematics and hybridization strategies—optimizing operations via digital twins of their setups leading to significant reductions in fuel consumption. Additionally highlighted are efforts toward sustainable energy management using real-time monitoring for battery degradation alongside plans for independent green energy solutions utilizing renewable resources integrated with hydrogen storage. This initiative underscores prime energy suppliers' commitment towards optimizing grid stability while managing power consumption sustainably through advanced technological integration.

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Speaker

Keno Leites
Head of Fuel Cell Competence Center
Zeppelin Power Systems GmbH
Germany

Talk of session: Energy Management Systems: Not Just For Battery Storage?

Battery storage systems consist of three main components: battery (including BMS), conversion unit (inverter), and controller (EMS). The EMS was used to simply calculate target values for the inverter, based on power meter readings, and to monitor inverters and battery's functionality. Today, it also controls or optimizes other devices in a local energy system, such as EV chargers and heat pumps. Modern EMSs optimize assets for multiple use cases (e.g., solar self-consumption, grid usage, dynamic tariffs). Learn more about the latest trends, including the use of AI in energy management systems for battery storage.

Further Talks of this session:

Welcome and Introduction

Speaker

Stefan Feilmeier
Deputy CEO
FENECON GmbH
Germany

To Talk

From PV to Profitable BESS: Revenue Stacking and Flex Loads

Speaker

Julie Horn
Senior Strategy and Business Development
Virya Energy
Germany

To Talk

Optimized Dispatch of Multi-Energy Systems with BESS - A Real World Implementation

Speaker

Lakshimi Narayanan Palaniswamy
Research Associate
Karlsruhe Institute of Technology (KIT)
Germany

To Talk

Smarter Utilities: Unlocking Value with HEMS in Decentralized Energy Systems

Speaker

Tobias Mitter
Managing Director, CTO
gridX GmbH
Germany

To Talk

Key Learnings from P3's HEMS Benchmark on Optimization and Cost Effectiveness

Speaker

Florian Oest
Consultant
P3 automotive GmbH
Germany

To Talk

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