WANG Yifeng, XIAO Junfeng, HU Mengqi, et al. Modeling and load-following analysis of hydrogen fueled power generation of heavy-duty gas turbine combined cycle unit[J]. Thermal power generation, 2022, 51(11): 129-139.
DOI:
WANG Yifeng, XIAO Junfeng, HU Mengqi, et al. Modeling and load-following analysis of hydrogen fueled power generation of heavy-duty gas turbine combined cycle unit[J]. Thermal power generation, 2022, 51(11): 129-139. DOI: 10.19666/j.rlfd.202207160.
Modeling and load-following analysis of hydrogen fueled power generation of heavy-duty gas turbine combined cycle unit
A mathematical model is established for basic operating characteristics of F-class heavy-duty gas turbine combined cycle unit hydrogen-mixed power generation. Python is used to calculate and predict the effect of different hydrogen-mixed ratios(mass ratio 0~20%) on the unit's efficiency
power output and gas temperature
as well as produced carbon dioxide. Then
the results of the mathematical model by Python
the physical model by Thermoflow software and the actual unit operating data are compared for variable load conditions. The results show that
when the air flow is adjusted to keep the turbine inlet temperature unchanged
as the hydrogen mixing ratio increases from 0 to 20%
the gas turbine efficiency increases from 37.14% to 37.65%
by 1.37% relatively
and the stoichiometric ratio increases from 2.48 to 2.63
the gas turbine output increases by 1.40%
1.44% and 1.35% at 100%
75% and 50% load rates. At the load rates of 100%
when the hydrogen mixing ratio increases from 0 to 5%and 10%
the output power of the gas turbine and combined cycle increases by 0.10% and 0.16%
respectively
and the exhaust temperature of the gas turbine heat recovery steam generator increases slightly. With the increase of the hydrogen mixing ratio
the carbon dioxide emission concentration in flue gas decreases significantly. The research results can provide a reference to diagnosis and adjustment of energy efficiency for natural gas combined cycle units using hydrogen as a renewable energy.