Abstract
Solid oxide fuel cell (SOFC) models used in the past for biomass-to-power plant simulations are limited in their predictability of the carbon deposition risk. In this work, industrial-relevant cell designs were modeled in 2D-CFD considering detailed reaction kinetics which allowed more accurate performance simulations and carbon deposition risk assessments. Via a parametric study, the influence of varying cell operating conditions on the cell performance and carbon deposition risk was quantified when utilizing product gases from steam- and air gasification with varying steam addition. Considering the results from this parameter study and carbon deposition risk assessment, recommendations for promising gasifier-SOFC configurations and cell operating points for stable long-term operation are presented. For smaller-scale biomass-to-power systems, the utilization of product gas from air gasification in anode supported cells with Ni/zirconia-based anode can be recommended, with only moderate steam dilution of the product gas at 750°C cell operating temperature. For larger scales, steam gasification might be meaningful, offering a generally higher electrical efficiency and power output in fuel cells than air gasification. However, a higher risk for carbon deposition could be determined in comparison to air gasification. Hence, a cell temperature of 850°C besides the use of cells with Ni/ceria-based anodes is recommended.
Original language | English |
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Article number | 123085 |
Journal | Energy |
Volume | 244 |
DOIs | |
Publication status | Published - 1 Apr 2022 |
Keywords
- Biomass gasification
- Carbon deposition
- CFD Modelling
- Combined heat and power
- Solid oxide fuel cell
ASJC Scopus subject areas
- Mechanical Engineering
- Pollution
- Energy Engineering and Power Technology
- Energy(all)
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Management, Monitoring, Policy and Law
- Building and Construction
- Fuel Technology
- Renewable Energy, Sustainability and the Environment
- Civil and Structural Engineering
- Modelling and Simulation