The application of image recognition methods to improve the performance of waste-to-energy plants
- authored by
- Fenja Schwark, Henriette Garmatter, Maria Davila, Lisa Dawel, Alexandra Pehlken, Fabian Cyris, Roland Scharf
- Abstract
In this paper, we present an image recognition method to improve the performance of waste-to-energy plants. Thermal treatment of waste in waste-to-energy plants is central for the treatment of municipal solid waste. The heterogeneous nature of municipal solid waste results in a fluctuating lower calorific value to which plant operation must be adapted. Compensating for drastic changes in the lower calorific value is challenging for plant operation and can require short-term interventions. Estimating the lower calorific value prior to the combustion process should reduce the number of short-term interventions. In this work, we propose a process-engineering approach to estimate the lower calorific value of waste as a new application of image recognition in waste-to-energy plants. The method is implemented using videos and sensor data from a case study in a real waste-to-energy plant in Germany.
- Organisation(s)
-
Institute of Power Plant Engineering and Heat Transfer
- External Organisation(s)
-
OFFIS - Institute for Information Technology
EEW Energy from Waste GmbH
- Type
- Conference contribution
- Pages
- 167-176
- No. of pages
- 10
- Publication date
- 2022
- Publication status
- Published
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Computer Science Applications
- Sustainable Development Goals
- SDG 11 - Sustainable Cities and Communities, SDG 12 - Responsible Consumption and Production
- Electronic version(s)
-
https://dl.gi.de/bitstream/handle/20.500.12116/39413/EnviroInfo2022_ShortPaper_26.pdf?sequence=1&isAllowed=y (Access:
Open)
