Dynamic and techno-economic assessment of solar-assisted biomass gasification for continuous hydrogen production

Solar-driven biomass gasification offers a promising route to produce green hydrogen while storing solar energy in chemical form. To mitigate solar intermittency, a solar/autothermal hybrid gasification strategy based on solar-input-dependent adjustment of gasifying-agent ratios is proposed. Using rice straw as the biomass feedstock, a thermodynamic analysis was first conducted to determine the optimal steam-to-feedstock (S/F) and oxygen-to-feedstock (O/F) molar ratios under varying solar input by maximizing the energy upgrade factor. With increasing solar input, O/F decreases monotonically, whereas S/F initially increases and subsequently decreases. Under the optimized operating conditions, the energy upgrade factor increases from 0.75 under autothermal operation to a maximum of 1.23 under solar-assisted operation. Based on the optimized operating strategy, a solar/autothermal hybrid biomass gasification system for high-purity hydrogen production was modeled and evaluated through a full-year hourly dynamic assessment. At a constant biomass feed rate of 4.515 kg s −1 , the proposed system produces 9221 t H 2 yr −1 , representing a 39 % increase compared with the reference autothermal system. An economic assessment indicates that the system is economically feasible (NPV > 0), with a levelized cost of hydrogen of 3.26 $ kg −1 , significantly lower than that of PV-powered water electrolysis in the same region. With further cost reductions in solar concentrating technologies, the economic advantage of the proposed hybrid system is expected to be further enhanced.

Authors

Institutions

Publication Details

Journal
Solar Energy
Published
2026-10-05
DOI
https://doi.org/10.1016/j.solener.2026.115186
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic and techno-economic assessment of solar-assisted biomass gasification for continuous hydrogen production

Gang Feng, Dequan Xu, Xian Li, Chi‐Hwa Wang et al.
Solar Energy
Thermochemical Biomass Conversion Processes
article

Dynamic and techno-economic assessment of solar-assisted biomass gasification for continuous hydrogen production

Gang Feng, Dequan Xu, Xian Li, Chi‐Hwa Wang, Yanjun Dai, Lifeng Li, Yao Zhao, Pengcheng Jia
article en

Abstract

Solar-driven biomass gasification offers a promising route to produce green hydrogen while storing solar energy in chemical form. To mitigate solar intermittency, a solar/autothermal hybrid gasification strategy based on solar-input-dependent adjustment of gasifying-agent ratios is proposed. Using rice straw as the biomass feedstock, a thermodynamic analysis was first conducted to determine the optimal steam-to-feedstock (S/F) and oxygen-to-feedstock (O/F) molar ratios under varying solar input by maximizing the energy upgrade factor. With increasing solar input, O/F decreases monotonically, whereas S/F initially increases and subsequently decreases. Under the optimized operating conditions, the energy upgrade factor increases from 0.75 under autothermal operation to a maximum of 1.23 under solar-assisted operation. Based on the optimized operating strategy, a solar/autothermal hybrid biomass gasification system for high-purity hydrogen production was modeled and evaluated through a full-year hourly dynamic assessment. At a constant biomass feed rate of 4.515 kg s −1 , the proposed system produces 9221 t H 2 yr −1 , representing a 39 % increase compared with the reference autothermal system. An economic assessment indicates that the system is economically feasible (NPV > 0), with a levelized cost of hydrogen of 3.26 $ kg −1 , significantly lower than that of PV-powered water electrolysis in the same region. With further cost reductions in solar concentrating technologies, the economic advantage of the proposed hybrid system is expected to be further enhanced.

Solar EnergyVol. 319
National University of Singapore (SG), Shanghai Jiao Tong University (CN), Harbin Institute of Technology (CN), China Power Engineering Consulting Group (China) (CN)
Openalex Percentile: Top 23%
Thermochemical Biomass Conversion Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.