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1. Introduction - Firenze University Press

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Fig. 3. Triple <strong>Press</strong>ure Bottoming Steam cycle: <strong>Press</strong>ure Levels are 100, 25, 5 bar [10]<br />

3.4. Optimization of AZEP 100<br />

A local optimum is determined with sequential quadratic programming (SQP) using the inbuilt<br />

ASPEN Plus ® Optimizer. Overall, the objective is maximal efficiency keeping the ITM size fixed.<br />

The power cycle has 14 optimization variables – 5 variables for the topping cycle, and 9 for the<br />

bottoming cycle. To overcome numerical difficulties and limitations of ASPEN Plus ® , the power<br />

cycle is optimized in two steps. First, only the topping cycle is optimized. Then, only the bottoming<br />

cycle is optimized using the inlet streams to the bottoming cycle – "GTEXH" and "PRODBOTM" –<br />

as input specifications, fixed to the optimum operating condition of the topping cycle. In principle,<br />

this two-stage method does not guarantee local optimization of the entire cycle [25]. However, as<br />

the efficiency of the gas turbine "GT" in the top cycle is higher than that of the bottoming cycle, it is<br />

more efficient to extract work through the gas turbine in the topping cycle than the bottoming cycle.<br />

In other words, to attain maximum efficiency of the total power plant, maximum possible power<br />

extraction should take place in the top cycle, transporting minimum thermal energy to the<br />

bottoming cycle. Thus, sequential optimization of the topping cycle followed by the bottoming<br />

cycle is believed to give the optimum of the entire power cycle.<br />

3.4.<strong>1.</strong> Optimization of Top Cycle<br />

The one-dimensional intermediate fidelity ITM model makes it impossible to optimize the ITM<br />

geometry. Attempting to minimize the pressure drop would result in an infinite number of permeate<br />

and feed channels, which are extremely small in length. Moreover, the ITM is an expensive<br />

component, so optimization of the ITM size would require accurate estimates for its cost which are<br />

not available since ITM is a very new technology. Hence, the topping cycle is optimized by varying<br />

operational parameters such as mass flow rate, temperature and split fractions, while the ITM size is<br />

kept fixed. More specifically, the degrees of freedom are the mass flow rates of "AIRMCM" and<br />

"AIRREST", the split fraction of "B10", and the cold side outlet temperature of "BHEX". Varying<br />

"AIRMCM" varies fuel flow rate since flue flow rate is stoichiometrically related to the amount of<br />

O2 separated in ITM to ensure complete combustion.<br />

As the mass flow rate of "AIRMCM" increases, the amount of oxygen separated by a fixed size<br />

ITM also increases. This corresponds to an increase in fuel flow rate and greater compressor power<br />

(decrease in efficiency). At the same time, the power output from the turbine increases (increase in<br />

efficiency). The combination of these opposing effects provides scope for optimization.<br />

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