Techno-Economic Analysis of an Integrated E-Methanol Production Plant Utilizing First and Second Generation Biomass Resources

2025-01-0182

To be published on 06/16/2025

Features
Event
KSAE/SAE 2025 Powertrain, Energy & Lubricants Conference & Exhibition
Authors Abstract
Content
This study presents a comprehensive techno-economic assessment (TEA) of an integrated e-methanol production system building upon previously published foundational research utilizing Aspen Plus modeling for e-methanol production from sugar cane and sugar beet biomass. The established integrated system converts biomass into ethanol through fermentation and synthesizes e-methanol using both captured CO2 and syngas derived from biomass residue gasification. This approach maximizes CO2 and biomass utilization, promoting a circular carbon economy. The TEA quantifies capital expenditures (CAPEX), operational expenditures (OPEX), and levelized costs of Methanol (LCOM), providing a detailed economic analysis of the potential for commercializing e-methanol. A sensitivity analysis evaluates the impact of feedstock prices and Technology Readiness Levels (TRL), identifying key leverage points affecting financial viability. The study aims to explore the potential of utilizing existing agricultural infrastructure for sugar cane and sugar beet to minimize setup costs and expedite market readiness. The system’s capacity to reduce carbon emissions significantly aligns with global sustainability goals. This study provides strategic recommendations for scaling e-methanol production and improving its economic viability in the renewable energy sector. The sensitivity analysis particularly aids in developing robust strategies to mitigate risks associated with economic and market fluctuations.
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Pages
13
Citation
Fernandes, R., Shakeel, M., Nguyen, D., Im, H. et al., "Techno-Economic Analysis of an Integrated E-Methanol Production Plant Utilizing First and Second Generation Biomass Resources," SAE Technical Paper 2025-01-0182, 2025, .
Additional Details
Publisher
Published
To be published on Jun 16, 2025
Product Code
2025-01-0182
Content Type
Technical Paper
Language
English