Publication Details

Category Text Publication
Reference Category Preprints
DOI 10.2139/ssrn.5128005
Title (Primary) Investigating the bioenergy potential in achieving the energy and climate targets of Hungary: An optimisation approach
Author Szabó, Á.C.T.; Esmaeili Aliabadi, D. ORCID logo ; Thrän, D.
Source Titel SSRN
Year 2025
Department BIOENERGIE
Language englisch
Topic T5 Future Landscapes
Abstract The transition to the net-neutral energy system, as reflected in National Energy and Climate Plans (NECPs), is pursued by all European countries. An important source of clean energy in Europe is bioenergy, which accounts for more than half of the EU's total renewable energy consumption. Unfortunately, the geographical and technological focus in the literature remains uneven. While numerous models exist for major EU countries, smaller nations are often excluded from these discussions, undermining the equitable pursuit of a just transition for all.  This manuscript investigates the bioenergy potential in reaching the Hungarian climate targets using a modified version of the bioenergy optimisation model (HU-BENOPT). The developed model is adapted to Hungarian conditions by incorporating country-specific data from various sources. In this study, NECP regulations of Hungary are implemented as bilinear constraints, which have been linearised using an iterative algorithm. According to outcomes, the biomass feed utilisation grows from 160 PJ (2020) to 400 PJ (2050), proving the significant role of bioenergy in realising the cost-optimal energy mixes in various sectors, thereby decreasing Hungary’s reliance on imported fossil-based energy carriers. Unfortunately, the current policies and targets for 2030 fall far from ensuring the cost-optimal sectoral pathways to climate neutrality by 2050.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30448
Szabó, Á.C.T., Esmaeili Aliabadi, D., Thrän, D. (2025):
Investigating the bioenergy potential in achieving the energy and climate targets of Hungary: An optimisation approach
SSRN 10.2139/ssrn.5128005