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Multi-criteria study and optimization of an innovative combined scheme utilizing compressed air energy storage for a modified solid oxide fuel cell-driven gas turbine power plant fueled by biomass feedstock
•Innovative combined process for a biomass-fed solid oxide fuel cell-gas turbine plant.•Use of heat recovery and compressed air energy storage for peak shaving.•Conducting a thorough parametric study and defining five distinct optimization scenarios.•The most suitable ERTE and LTE equal 51.06 % and...
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Published in: | Energy conversion and management 2024-08, Vol.314, p.118731, Article 118731 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | •Innovative combined process for a biomass-fed solid oxide fuel cell-gas turbine plant.•Use of heat recovery and compressed air energy storage for peak shaving.•Conducting a thorough parametric study and defining five distinct optimization scenarios.•The most suitable ERTE and LTE equal 51.06 % and 0.64 kg/MWh, respectively.•The most suitable NPV and payback period equal 7.44 M$ and 1.54 years, respectively.
This paper explores the potential of a combined solid oxide fuel cell and gas turbine technology for medium- to large-scale power generation, emphasizing its applicability and sustainability, particularly with biomass feedstock. An innovative heat integration process is developed for a modified solid oxide fuel cell and gas turbine power plant, incorporating a steam power cycle, compressed air energy storage, a Kalina cycle, and a domestic hot water production subsystem. The system utilizes biomass through a downdraft gasifier, enabling a comprehensive evaluation of thermodynamic, economic, and environmental performance during both charging and discharging phases. A detailed parametric sensitivity analysis is performed to investigate two operational modes. Subsequently, five multi-objective optimization scenarios are formulated and optimized using the cuckoo search algorithm and two decision-making approaches. The results indicate that the optimization scenario focusing on exergetic round-trip efficiency and the unit cost of products during the discharging phase achieves superior thermodynamic and environmental performance. Specifically, the system exhibits energetic and exergetic round-trip efficiencies of 59.20 % and 51.06 %, respectively, with a levelized total emission of 0.64 kg/MWh. Furthermore, when considering the objectives of exergetic round-trip efficiency and net present value, the optimal economic performance is achieved with a payback period of 1.54 years and a net present value of $7.44 million. |
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ISSN: | 0196-8904 |
DOI: | 10.1016/j.enconman.2024.118731 |