Abstract
Heat recovery not only enhances the thermal efficiency of a thermodynamic system but also yields cost and environmental benefits. Additionally, utilizing produced hydrogen as a fuel source, when blended with natural gas, significantly diminishes CO2 emissions. However, a dearth of existing research in the literature that addresses the simultaneous integration of heat recovery and hydrogen blending prompted the authors to propose, design, and model a multi-generation energy system. This proposed system takes into account economic and environmental considerations while incorporating hydrogen blending and heat recovery techniques. The model was developed using MATLAB to accurately calculate the system's functions, and the resulting programming code was meticulously cross-checked against literature findings. To identify the optimal operating conditions for the system, a genetic algorithm optimization approach was employed. The base case results indicated a total cost rate of 7039.4 $/h, an exergy efficiency of 41.01%, and a drinkable water production rate of 830.65 kg/s. Moreover, the optimization results demonstrated improvements in various parameters, with a reduced total cost rate of 6833 $/h, an enhanced exergy efficiency of 49.46%, and an increased drinkable water production rate of 1166.4 kg/s. The introduction of hydrogen blending led to an 8.16% decline in the total cost rate, a 1.15% reduction in CO2 emissions, and a notable 4.6% enhancement in the overall system's exergy efficiency.
| Original language | English |
|---|---|
| Pages (from-to) | 428-444 |
| Number of pages | 17 |
| Journal | Process Safety and Environmental Protection |
| Volume | 184 |
| DOIs | |
| State | Published - Apr 2024 |
| Externally published | Yes |
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
- Gas turbine power plant
- Hydrogen blending
- Multi-generation system
- Optimization
- Organic Rankine cycle
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