Title:
Identification of Cause-effect Relationships and ANN-based Modeling in a 15 MW Biomass Rankine Power Plant Supported by Data Reconciliation
Author(s):
Jiménez-Espadafor Aguilar, F.J., Velez Godiño, J.A., Serrano Reyes, J.
Document(s):
Paper
Poster
Abstract:
This work focuses on the analysis of performance instabilities in a 15 MW biomass-fired power plant operating under nominal conditions. Plant performance was evaluated using data acquired from the Supervisory Control and Data Acquisition (SCADA) system, which were processed through a methodology referred to as congruence analysis. This approach made it possible to distinguish between stationary and non-stationary signals and to perform the subsequent analysis accordingly. The main objective of the study was to identify cause–effect relationships by applying advanced data analysis techniques and to develop a data-driven model based on an Artificial Neural Network (ANN) for biomass consumption prediction and plant diagnosis. The proposed methodology provides a systematic framework for understanding plant behaviour, identifying the main factors affecting performance, and supporting predictive maintenance and operational optimization.
Keywords:
biomass, boiler, superheater fouling, steam turbine
Topic:
Sustainability, Impacts, Policies and Systems Analysis
Subtopic:
Overall system analysis, decision making and AI applications
Event:
34th European Biomass Conference and Exhibition
Session:
2BV.9.6
Pages:
339 - 346
ISBN:
978-88-89407-27-1
Paper DOI:
10.5071/34thEUBCE2026-2BV.9.6
Price:
FREE
