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Smart Energy innovation area
Smart Energy innovation area
Sub­ject areas
Fields of ap­plic­a­tion
Goals and vis­ions
Re­search ques­tions and tasks
Meth­ods
Selected projects
Man­ager
Uni­ver­sity lec­tur­ers in­volved
  1. SICP – Software Innovation Campus Paderborn
  2. Innovation areas
  3. Smart Energy

Smart Energy innovation area

The Smart Energy innovation area pursues the research and development of data- and model-driven solutions in the context of sustainable, integrated energy systems. This includes technical issues relating to the operation and planning of energy systems as well as economic issues relating to the development of products and services. The solutions should enable various stakeholders to operate in an increasingly complex energy system. The target group-orientated preparation of information for the design of applications is therefore another important topic in the field of innovation.

 

Sub­ject areas

This is an excerpt of current topics that are continuously expanded and updated.

  • Data analysis in the context of renewable energy systems
  • Data-driven design and operation of energy systems
  • Model and optimisation-based decision support for infrastructure and operational planning
  • Design of digital services and business models

Fields of ap­plic­a­tion

Energy industry

 

Residential building

 

Industry

 

Mobility

 

Goals and vis­ions

Our aim is to act as an innovation driver and enabler to develop digital solutions that enable sustainable, integrated energy systems and infrastructures.

Re­search ques­tions and tasks

  • How can energy systems and infrastructures be designed and operated more sustainably through the targeted use of digitalisation, optimisation and data analysis?
  • What future business models will result from the joint development of data analysis, software and energy technology?
  • How can complex energy technology topics be processed to enable target group-orientated communication and interactive applications?

Meth­ods

  • Energy system analysis

  • Modelling and simulation

  • optimisation

  • Artificial intelligence

Selected projects

DynOpt-San - Digital unterstützte und modulare Sanierung von Mehrfamilienhäusern in Quartieren mit PVT-PCM-Wärmepumpensystemen und selbstlernendem Energiemanagement

Duration: 2024 - 2026

More about the project

DC2HEAT - Data Centre HEat Recovery with AI-Technologies

Duration: 2023 - 2026

More about the project

ESN4NW: Energieoptimierte Supercomputer-Netzwerke durch die Nutzung von Windenergie

Duration: 2022 - 2025

More about the project

HeatTransPlan - Digitales Entscheidungsunterstützungssystem zur Transformation der industriellen Wärmeversorgung durch speicherunterstützte Abwärmenutzung"

Duration: 2024 - 2026

More about the project

Re2Pli

Duration: 2022 - 2026

More about the project

Climate bOWL: Climate neutral Business in Ostwestfalen-Lippe

Duration: 2022 - 2025

More about the project

AProSys -KI-gestützte Assistenz- und Prognosesysteme für den nachhaltigen Einsatz in der intelligenten Verteilnetztechnik

Duration: 2023 - 2025

More about the project

NeMo.bil – System kooperierender Fahrzeuge für einen individualisierten Öffentlichen Verkehr

Duration: 2023 - 2026

More about the project

Man­ager

Henning Meschede
Prof. Dr.-Ing. Henning Meschede

> Energy System Technologies (EST)

Head - Professor

Office: P6.2.073
Phone: +49 5251 60-2185
E-mail: henning.meschede@uni-paderborn.de

Uni­ver­sity lec­tur­ers in­volved

Prof. Dr. Yasemin Acar

> Empirical Software Engineering

Head - Professor

Prof. Dr. Daniel Beverungen

> Software Innovation Campus Paderborn (SICP)

Speaker - Professor - Spokesman SICP Steering Committee, Academic Director SI-Lab

Office: ZM2.A.03.77
Phone: +49 5251 60-5600
E-mail: beverungen@sicp.de
E-mail: daniel.beverungen@uni-paderborn.de

Prof. Dr. René Fahr

> Paderborn University

Vice President - Professor - Knowledge- and Technologytransfer

Office: Q3.122
Phone: +49 5251 60-2090
E-mail: rene.fahr@uni-paderborn.de

Prof. Dr.-Ing. Henning Meschede

> Kompetenzzentrum für Nachhaltige Energietechnik (KET)

Member - Professor

Prof. Dr. Oliver Müller

> Wirtschaftsinformatik, insb. Data Analytics

Head - Professor

Office: Q2.457
Phone: +49 5251 60-5100
E-mail: oliver.mueller@uni-paderborn.de

Prof. Dr. Stefan Sauer

> Software Innovation Campus Paderborn (SICP)

Manager - Professor - Managing Director, Senior Researcher

Office: ZM2.A.03.74
Phone: +49 5251 60-6820
E-mail: sauer@uni-paderborn.de
E-mail: sauer@sicp.de

Prof. Dr. Guido Schryen

> Management Information Systems and Operations Research

Professor

Office: Q2.463
Phone: +49 5251 60-3115
E-mail: guido.schryen@uni-paderborn.de

Prof. Dr.-Ing. Katrin Temmen

> Faculty of Computer Science, Electrical Engineering and Mathematics

Dean of Students - Professor

Office: P1.6.09.2
Phone: +49 5251 60-3004
E-mail: eim-studiendekan@lists.uni-paderborn.de

Prof. Dr. Heike Trautmann

> Machine Learning and Optimisation

Head - Professor

Office: FU.231
Phone: +49 5251 60-6309
Phone: +49 1606675582
E-mail: heike.trautmann@uni-paderborn.de

Prof. Dr. Lin Wang

> Computer Networks

Section Owner - Professor

Office: O3.149
Phone: +49 5251 60-5375
E-mail: lin.wang@uni-paderborn.de

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