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Thermoeconomic appraisal of a novel power and hydrogen cogeneration plant with integration of biomass and geothermal energies.

Authors :
Wang, Dan
Ali, Masood Ashraf
Alizadeh, As'ad
Singh, Pradeep Kumar
Almojil, Sattam Fahad
Alali, Abdulrhman Fahmi
Almoalimi, Khaled Twfiq
Almohana, Abdulaziz Ibrahim
Source :
International Journal of Hydrogen Energy. Jan2024:Part C, Vol. 52, p385-400. 16p.
Publication Year :
2024

Abstract

The present research aims at development and design of a new high-efficiency power/hydrogen co-production framework running by biomass/geothermal renewable resources. In this regard, to attain global energy transition goals based on green hydrogen utilization of renewable resources instead of conventional fossil fuel-based routes for hydrogen production is followed. The proposed system structure consists mainly of a gas turbine coupled to a geothermal assisted Rankine unit which extracts the gas turbine wasted heat to run a water electrlyzer for H 2 production. To illustrate a comprehensive performance evaluation, technical (thermodynamic), environmental and economic aspects are considered and assessed. Eight performance indices are evaluated including: power and hydrogen productions, thermal and exergetic efficiencies, environmental damage and emission index, L C O P and overall system cost. In addition, a bi-objective optimization is implemented with respect to efficiency and product cost. Results show that, the cogeneration framework under optimum condition, operates with exergetic efficiency of 42.37 % and l e v e l i z e d p r o d u c t c o s t o f 68.52 $ / M W h , whose emitted CO 2 is 0.7443 k g / k W h. Also, compared to basic design point conditions, it is found out that optimization leads to performance enhancements by 7.5%, 9.0% and 7.7% for the three mentioned indicators, respectively. • Proposal of power/hydrogen cogeneration structure driven by biomass-geothermal energies. • Thermodynamic, environmental and economic evaluations for proposed hybrid structure. • Determination of optimum operation via two-objective optimization. • AcHieving 9.0% reduction in levelized product cost by optimization. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03603199
Volume :
52
Database :
Academic Search Index
Journal :
International Journal of Hydrogen Energy
Publication Type :
Academic Journal
Accession number :
174321724
Full Text :
https://doi.org/10.1016/j.ijhydene.2023.02.066