vilisto GmbH – evaluating VOC measurement in near heat source settings for low energy use cases to approximate indoor air quality
Description of the company
Buildings account for about 30% of the energy consumed globally. In Germany, non-residential buildings account for 37% of building-related energy consumption, in which heat consumption comprises the largest share with more than 70%. Therefore, tackling the issue of heat consumption constitutes an essential pillar in achieving a sustainable energy transition.
vilisto’s digital heat management solution transforms the non-residential building sector, by saving customers up to 40% heating energy. The self-learning radiator thermostats from vilisto comprise of integrated presence detection, learning algorithms and room climate sensors, enabling a fully automated and demand-based regulation of room temperatures. In addition, the connected web portal allows for an effective and efficient management of property portfolios. Therefore, vilisto demonstrates a viable solution for sustainably transforming building-related energy consumption by significantly reducing CO2 emissions as well as heating costs.
vilisto's radiator thermostats are the basis for digital heat management. Based on the data collected by the IoT devices, insights into room use, heating behavior and energy consumption can be generated.
The collected data can be further used to enable further added value for building management, e.g. the use of the rooms can be optimised on the basis of room utilisation behaviour. One of the challenges in providing this added value is to be cost-effective so that no major investment is required.
An interesting value in all buildings where people work is air quality. When air quality is poor, employee productivity drops dramatically without people in the room noticing that the air is getting worse over time. CO2 sensors are usually placed in the room to measure air quality. These sensors are associated with high costs and constant power consumption.
Aims of the project
Within the scope of the project, the possibilities of integrating sensor technology into the existing thermostat device connected to the radiator heating system are to be evaluated. Since CO2 sensors are very energy-intensive, a VOC sensor with low power consumption should be used to measure a CO2 equivalent. Challenges among many are temperature dependency, poor airflow, non-optimal positioning in the room, power consumption, costs, data quality.
The following steps must be taken for the project:
Set up the Scrum development environment in JIRA for working in sprints
Collect list of requirements
Research and evaluate possible sensors based on requirements
Setting up a hardware and software test system with online database
Setting up reference sensors
Define limit values for measured concentrations
Testing sensors and collecting data
Evaluate data for accuracy, quality and value limits
If necessary, develop a correlation model for the data based on different approaches
Conclude possible use cases based on your results
Target group (students)
Mechatronics, Electrical Engineering, Environmental Engineering, Computer Science, Computational Science and Engineering and adjacent studies.