期刊
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
卷 53, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.seta.2022.102551
关键词
Biomass Gasification; Ejector-based organic flash cycle; Optimization; Waste heat recovery; CCHP; TOPSIS; Artificial Neural Network
资金
- King Saud University, Riyadh, Saudi Arabia [RSP-2021/303]
It has been proven that biomass energy can be used for sustainable conversion of chemical energy into electricity, heating, and cooling. This research uses efficient ejector-based-organic cycles to exploit the chemical energy contained in biomass, achieving heating, cooling, and electricity generation. The study finds that biomass characteristics have a measurable impact on system performance.
It has long been proven that biomass energy may be used to convert chemical energy into electricity, heating, and cooling on a sustainable basis. It emits less pollution, has a greater heat source temperature, and is compatible with various energy systems. The chemical energy contained in biomass is exploited to create heating, cooling, and electricity in this research using efficient ejector-based-organic cycles. The system comprises three distinct subsystems; the gasification process, an externally fueled gas turbine that serves as the system's primary mover and upper cycle, and an organic flash cycle with an ejector. The exit hot gases are then utilized to heat a steam Rankine cycle, the condenser of which is the ejector-based-organic cycle's evaporator. ANN and TOPSIS techniques are used to undertake the 3E analysis, parametric research, and multi-criteria optimization. The findings reveal that biomass characteristics have a measurable impact on system performance. Additionally, the optimization findings indicated that at the optimal point, the energy efficiency, cost rate, CO2 emission, and net power production are 24.07 %, 142.54 $/hr, 0.53 kg/kWh, and 10281 kW, respectively.
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