Problem statement and motivation
Despite recent environmental policies and technological improvements, the compliance with air pollution limits remains a major challenge in urban areas. Actively reducing air pollution, photocatalysts oxidize pollutants by converting the pollutants into less harmful compounds. Therefore, photocatalytic self-cleaning facades are considered a promising solution for reducing air pollution in urban areas. However, latest studies have unveiled that there is room for improvement of the efficiency of state-of-the-art photocatalytic self-cleaning facades, entailing further improvement of air quality.
Project goals and expected outcome
This project aims to improve air quality by increasing the efficiency of photocatalytic self-cleaning facades. The project is biologically inspired in a twofold manner and, to increase facade efficiency, pursues two corresponding goals,
The control of the sensor/actuator system of intelligent TiO2 facades will be implemented based on multi-agent systems. Multi-agent systems are inspired by swarm intelligence, i.e. by the collective behavior known from social insect colonies or other animal societies. Intelligent agents will be distributedly implemented into the sensors/actuators installed at the facades and situated on IoT-based computer systems, serving as interfaces between the facades and human operators. Together with the project partners Bauhaus University Weimar and Fuchs Systembau GmbH, a demonstrator will be developed and validated in the laboratory. Recommendations will be formulated to integrate intelligent TiO2 facades in buildings on a large scale and to adapt the concept to other domains, such as green facades.
Contact
Professor Dr. Kay Smarsly
Hamburg University of Technology
Institute of Digital and Autonomous Construction
Blohmstraße 15
21079 Hamburg
Germany
Email: kay.smarsly@tuhh.de