Room: Poster Area A
Date: Tuesday, 10 June 2025
Time: 17:30 - 18:30 CEST
Session code 2BV.9
Modelling and decision making in bioenergy systems
Tango of Renewables in the Triangle of Uncertainty: A Stochastic Programming Approach
Short Introductive summary
With the increasing need to invest in renewable energy, decision-making is often based on deterministic energy system models. Their results overestimate the contribution from variable renewable energy (VRE). And with further increasing electricity demand, the need for flexibility to compensate for the unpredictability of VRE will increase. A bioenergy optimization model is used to analyze the interplay between VRE and dispatchable biomass. This work presents the integration of stochastic programming to capture the uncertainty of VRE to generate more realistic models and provides a detailed probability analysis of the incorporated scenarios. Results show that deterministic models do not account for the variability of VRE and that biomass can support meeting electricuty demand during shortages.
Presenter
Sandra GUTJAHR
Helmholtz Centre for Environmental Research, GERMANY
Presenter's biography
Sandra Gutjahr holds a Master's Degree in Medical Physics. She is interested in energy system modelling and the role of bioenergy in the energy system and is pursuing a PhD at the Helmholtz-Centre for Environmental Research in Leipzig.
Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited
Co-authors:
D. Aliabadi, Helmholtz Centre for Environmental Research, Leipzig, GERMANY
D. Thrän, Helmholtz Centre for Environmental Research, Leipzig, GERMANY
Session reference: 2BV.9.4