Title:
Advancing Bioenergy Conversion with Digital Twins: Opportunities and Challenges in BECCS Integration
Author(s):
Gurgel, C., Lauro, A.M., Rousset, P., Silveira, E.A.
Document(s):
Paper
Poster
Abstract:
Bioenergy conversion systems integrated with carbon capture and storage represent a strategic pathway for renewable energy production, waste valorization and carbon dioxide removal. However, their deployment is constrained by biomass heterogeneity, nonlinear process behavior, fluctuating operating conditions and the need for reliable carbon accounting across process and supply chain scales. In this context, digital twins can support the transition from static simulation and conventional monitoring toward adaptive, data connected and decision oriented bioenergy systems. This study reviews the emerging role of digital twins in bioenergy conversion and BECCS integration through a structured bibliometric and systemic analysis based on the ProKnow C methodology and the Web of Science database. The literature portfolio indicates that current applications remain concentrated on specific functions, including simulation, prediction, monitoring and optimization, while fully integrated cyber physical digital twins with real time data assimilation, self-updating capability, uncertainty management and closed loop control are still limited. The analysis highlights five core functions for future implementation: monitoring, prediction, adaptive learning, optimization and control, and system-level decision support. For BECCS, these functions must connect reactor scale operation with biomass logistics, carbon capture, transport, storage and net carbon accounting. The findings indicate that future digital twins for bioenergy should integrate hybrid modelling, sensor based data streams, adaptive learning and carbon performance indicators to enable scalable, resilient and low carbon operation, especially in remote or technically constrained regions.
Keywords:
bioenergy, bioenergy with carbon capture and storage (BECCS), digital twin, sustainable systems analysis
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.9.10
Pages:
356 - 361
ISBN:
978-88-89407-27-1
Paper DOI:
10.5071/34thEUBCE2026-2BV.9.10
Price:
FREE
