Experimental Dataset for Dynamic Identification of Heat Recovery Systems in Air Compressors
Description
The dataset contains experimental data obtained from identification studies of heat recovery systems used in industrial compressed air systems. Measurements were conducted on three experimental test rigs equipped with air compressors with rated powers of 30 kW, 75 kW, and 110 kW, operating under different operating conditions. The recorded data comprise time series of process variables characterizing the dynamic behaviour of the investigated heat recovery systems. The dataset is intended to support system identification, dynamic modelling, model validation, and analysis of the influence of operating conditions on system dynamics. The data are provided without imposing a specific model structure or identification methodology, allowing users to apply and compare different modelling and system identification approaches. The data were collected directly as part of the research and development activities carried out within the project “Development of an Integrated, Universal System for Intelligent and Controlled Heat Recovery from Industrial Compressed Air Systems”, project no. POIR.01.01.01-00-0330/20, implemented by ASFI Sp. z o.o. and co-financed by the European Regional Development Fund (ERDF) under the Smart Growth Operational Programme.
Files
Steps to reproduce
Detailed information about the variables, units, dataset structure, and an example of data processing and visualization in Python are provided in the README file.
Institutions
- University of Zielona GóraLubusz, Zielona Góra