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Model family for investigating future transformation scenarios for energetic biomass usage in the transport, power, heat sectors, and chemical industries, covering European countries. The latest published versions are available online with an open source license: GitLab

The storytelling front-end for BENOPT-EU, which is powered by the AP rendering engine, is available here.

Related Projects:

BioNET
Man0EUvRE

Published Papers:

Gutjahr, S., Thrän, D., Esmaeili Aliabadi, D. (2026): Tango of renewables in the triangle of uncertainty: A German case study, Adv. Appl. Energy 22, art. 100281 10.1016/j.adapen.2026.100281

Esmaeili Aliabadi, D., Wulff, N., Lehneis, R., Sadr, M., Gutjahr, S., Reutter, F.J., Jordan, M., Lehmann, P., Thrän, D. (2025): Climate change may impair the transition to a fully renewable energy system: A German case study. Energy 338, art. 138684 10.1016/j.energy.2025.138684

Wulff, N., Esmaeili Aliabadi, D., Samuel, H., Pregger, T., Özcan, D., Gils, H.C., Kronshage, S., Ruiz, E.S.A., Grimme, W., Horst, J., Jochem, P. (2025): Energy system implications of demand scenarios and supply strategies for renewable transportation fuels. Energy Strateg. Rev. 58, art. 101606: 10.1016/j.esr.2024.101606

Sadr, M., Esmaeili Aliabadi, D., Jordan, M., Thrän, D. (2024): A bottom-up regional potential assessment of bioenergy with carbon capture and storage in Germany. Environ. Res. Lett. 10.1088/1748-9326/ad7edd

Sadr, M., Esmaeili Aliabadi, D., Avşar, B., Thrän, D. (2024): Assessing the impact of seasonality on bioenergy production from energy crops in Germany, considering just-in-time philosophy. Biofuels Bioprod. Biorefining 10.1002/bbb.2602

Esmaeili Aliabadi, D., Chan, K., Wulff, N., Meisel, K., Jordan, M., Österle, I., Pregger, T., Thrän, D. (2023): Future renewable energy targets in the EU: Impacts on the German transport, Transportation Research Part D: Transport and Environment, 124, 103963: 10.1016/j.trd.2023.103963

Esmaeili Aliabadi, D., Manske, D., Seeger, L., Lehneis, R., Thrän, D. (2023). Integrating knowledge acquisition, visualization, and dissemination in energy system models: BENOPTex study. Energies 16 (13), art. 5113: 10.3390/en16135113

Millinger, M., Tafarte, P., Jordan, M., Musonda, F., Chan, K., Meisel, K., & Aliabadi, D. E. (2022). A model for cost-and greenhouse gas optimal material and energy allocation of biomass and hydrogen. SoftwareX, 20, 101264: 10.1016/j.softx.2022.101264