Abstract
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.
| Original language | English |
|---|---|
| Article number | 102551 |
| Journal | Sustainable Energy Technologies and Assessments |
| Volume | 53 |
| DOIs | |
| State | Published - Oct 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Artificial Neural Network
- Biomass Gasification
- CCHP
- Ejector-based organic flash cycle
- Optimization
- TOPSIS
- Waste heat recovery
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