Abstract
In this present research study a multi-generation energy system which is coupled with CO2 capture unit which is based on Rankine cycle, organic Rankine cycle, ejector cooling system and absorption chiller has been analyzed via energy, exergy, exergy-economic aspects by developing MATLAB, also to achieve the optimum operating condition genetic algorithm has been applied for system optimization. The objective of this study is to propose an optimized efficient integrated energy system to recycle the energy waste of a typical industrial factory. The optimization has been illustrated on a Pareto frontier to achieve the optimum scheme of the multi-generation system regarding technical and economic viewpoints. Results indicate the optimal condition of this system has occurred at 0.37 exergy efficiency with 0.03 $/s. Furthermore, by surging the mass flow rate of waste gases up to 70 kg/s, net power output augmented up to 7500 kW. Besides, hydrogen production and produced desalinated water rise up to 8.5 g/s and 16 kg/s, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 26067-26081 |
| Number of pages | 15 |
| Journal | International Journal of Hydrogen Energy |
| Volume | 47 |
| Issue number | 62 |
| DOIs | |
| State | Published - 22 Jul 2022 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 9 Industry, Innovation, and Infrastructure
-
SDG 13 Climate Action
Keywords
- Exergy economic optimization
- Exergy efficiency
- Genetic algorithm
- Multi-generation energy system
- Steel factory
Fingerprint
Dive into the research topics of 'Exergy, economic, and optimization of a clean hydrogen production system using waste heat of a steel production factory'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver