Sensors and simulation for energy efficiency and the environment

Overview

The neighborhood as a manageable part of a city representing a social reference system describes the everyday living environment of people and is the suitable framework for controlling the influences of people on their environment and thus on health and well-being. Further developments in sensor technology and simulation are opening up new possibilities for understanding interrelationships and intervening in a targeted manner through the increasing amount of data being collected or generated. However, different uses (industrial property, residential area) result not only in different goals but also in a clearly different starting position for data collection (e.g. fixed vs. mobile, directly vs. at best indirectly measurable variables) and different possibilities for control and influence.and influence.

Research questions

SenSim4iCity investigates the use of data under these boundary conditions: How can the energetic management of a property be improved, facility management be supported and the comfort of employees be increased?

How can the interrelationships between road traffic, noise and pollution be described in the residential environment, and how can the actual pollution be represented and reduced?

Scientific approach and methods

In SenSim4iCity, different technological approaches were applied to concrete examples of the partners

  1. Development of a visualization tool for efficient performance analysis of an industrial property (Dr. Dirk Pietruschka)
  2. Smart wireless solutions for industrial buildings (Prof. Dr. Dieter Uckelmann)
  3. Numerical simulation of traffic-induced pollution in urban areas (Prof. Dr. Ursula Voß)
  4. Correlation between traffic, particulate matter and noise (Prof. Dr. Berndt Zeitler)

Results

  • Data acquisition in a large industrial property using conventional and wireless sensors as well as development of error detection routines, performance indicators and data visualizations
  • Prototypical implementation of intelligent electricity meters, optical CO2 warning indicators and camera-based people and car counters
  • Development and validation of a CFD simulation of pollutant dispersion and an acoustic simulation for the area of Schlossstraße
  • Long-term recording and analysis of noise, traffic and pollutant data
ManagementProf. Dr. Ursula Voß, Prof. Dr.-Ing. Berndt Zeitler, Dr. Dirk Pietruschka, Prof. Dr. Dieter Uckelmann
PartnerRobert Bosch GmbH, Soundplan, CADFEM International GmBH
WebsiteiCity: Intelligent City
Grant No.13FH9I09IA
FundingFederal Ministry of Education and Research (BMBF)
Programme

Forschung an Fachhochschulen

Call for proposal

Strong universities of applied sciences - impulse for the region (FH-Impuls)

Duration01.09.2022–31.12.2024

 

Team

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