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A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen
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 enab...
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Published in: | SoftwareX 2022-12, Vol.20, p.101264, Article 101264 |
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creator | Millinger, Markus Tafarte, Philip Jordan, Matthias Musonda, Frazer Chan, Katrina Meisel, Kathleen Aliabadi, Danial Esmaeili |
description | 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.
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doi_str_mv | 10.1016/j.softx.2022.101264 |
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source | ScienceDirect Journals |
subjects | Biomass Energy system Industrial ecology LCA Power-to-x Sector coupling Systems perspective |
title | A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen |
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