Abstract
This paper presents an analysis of operational parameters of the commercial Organic Rankine Cycle (ORC)cogeneration unit integrated with biomass-fired boiler and municipal heating network. The analysis is based on field measurements in real operational conditions using standard industrial sensors installed within the system. Regression based mathematical modelling have been applied to develop robust predictive models of the ORC system for its diagnostics and production planning. Historical data collected within the Supervisory Control and Data Acquisition System of the plant have been used to establish correlations between key thermodynamic parameters. Results reveal off-design performance characteristics of the ORC unit and its individual components such as turbine, evaporator and condenser. There are also demonstrated results of application of the model for technical condition and performance monitoring, which can support decisions on maintenance activities.
| Original language | English |
|---|---|
| Pages (from-to) | 400-414 |
| Number of pages | 15 |
| Journal | Renewable Energy |
| Volume | 142 |
| DOIs | |
| Publication status | Published - Nov 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Biomass
- Cogeneration
- Diagnostics
- Organic rankine cycle
- Process identification
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
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