A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen

Markus Millinger; Philip Tafarte; Matthias Jordan; Frazer Musonda; Katrina Chan; Kathleen Meisel; Danial Esmaeili Aliabadi

doi:10.1016/j.softx.2022.101264

A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen
Artikel i vetenskaplig tidskrift, 2022

BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enables detailed life-cycle greenhouse gas and cost assessments. Pareto analyses can be performed, as well as thorough sensitivity analyses. The model is designed to analyse optimal biomass and hydrogen usage, as a complement to integrated assessment and power system models.

Sector coupling

Power-to-x

Biomass

Energy system

Industrial ecology

Systems perspective

LCA