Work

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

Year: 2022

Type: software-paper

Abstract: 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.

Source: SoftwareX

DOI: 10.1016/j.softx.2022.101264

Authors: Markus Millinger, Philip Tafarte, Matthias Jordan, Frazer Musonda, Katrina Chan, Kathleen Meisel, Danial Esmaeili Aliabadi

Institutions: Helmholtz Centre for Environmental Research, Chalmers University of Technology, Leipzig University, Deutsches Biomasseforschungszentrum

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $600

Funders: Bundesministerium für Wirtschaft und Energie, Helmholtz Association

Award: Verbundvorhaben: Begleitforschung Energiewende im Verkehr - Teilvorhaben: Energiesysteme, Fokus Wettbewerb zwischen strombasierten Kraftstoffen und Biokraftstoffen

OpenAlex ID: W4311140331

Cites: 29

Cited by: 30

Related to: 10