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
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.
Topics & Concepts
Greenhouse gasBiomass (ecology)Computer scienceEnergy (signal processing)Environmental scienceGreenhouseHydrogenEnvironmental economicsProcess engineeringChemistryPhysicsEcologyEconomicsEngineeringBiologyHorticultureQuantum mechanicsOrganic chemistryEnvironmental Impact and SustainabilityGlobal Energy and Sustainability ResearchIntegrated Energy Systems Optimization