DynOpt-San

Overview

The aim of the project is to support the energy-efficient refurbishment of apartment buildings in neighborhoods with digital tools. Among other things, we are developing an AI-based energy manager that can predict and control the demand and supply of energy in the context of integrated solar heat pump systems across several apartments and buildings.

Key Facts

Grant Number:
03EN6024A
Research profile area:
Intelligente Technische Systeme
Project type:
Forschung
Project duration:
01/2024 - 12/2026
Funded by:
Bundesministerium für Wirtschaft und Klimaschutz (BMWK)

More Information

Principal Investigators

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Prof. Dr.-Ing. Henning Meschede

Energy System Technologies (EST)

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Prof. Dr. Oliver Müller

Wirtschaftsinformatik, insb. Data Analytics

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Prof. Dr.-Ing. Julia Riese

Fluid Process Engineering

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Project Team

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Dr.-Ing. Matti Grabo

Kompetenzzentrum für Nachhaltige Energietechnik (KET)

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Elham Hassan Nezhad

Fluid Process Engineering

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Julia Kirschbaum, M.Sc.

Energy System Technologies (EST)

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Kevin Zalipski

Wirtschaftsinformatik, insb. Data Analytics

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Cooperating Institutions

Axiotherm GmbH

Cooperating Institution

Consolar Solare Energiesysteme GmbH

Cooperating Institution

ESDA Technologie GmbH

Cooperating Institution

kraftBoxx gmbh

Cooperating Institution

solares bauen Ingenieurgesellschaft für Energieplanung GmbH

Cooperating Institution

Publications

From demand to action: Analysing building emissions and refurbishment scenarios towards climate neutrality
J. Kirschbaum, D. Divkovic, H. Meschede, Applied Energy 396 (2025).
DOI
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