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Fig. 6.41b shows that pump isentropic efficiency dese not have a significant effect on both objective functions, as its purchase cost is small. Fig. 6.41c shows the variation of the objective function by changing the absorption chiller evaporator temperature. An increase in evaporator temperature results in an increase in cooling load of the absorption chiller and at a same time increase the cost of the chiller. Fig. 6.41d shows the effect of condenser pressure on both objective functions. As shown in this figure, an increase in condenser pressure results in a decrease in system exergy efficiency, which is due to an increase in the heat rejected to the surroundings. Fig. 6.42a shows the effect of ORC turbine inlet pressure on the objective functions. An increase in ORC turbine inlet pressure leads to a decrease in system exergy efficiency and a decrease in the total cost rate of the system. Fig. 6.42b shows the variation of objective functions with ORC extraction pressure. It is seen that this parameter has positive effect on both objective functions. An increase in extraction pressure results in an increase in ejector entrainment ratio which results in an increase in ORC cooling load. Fig. 6.42c illustrates the effect of ORC evaporator pressure on objective functions. An increase in this parameter increases the exergy efficiency of the system while it increases the total cost rate of the system. However, this increase is not significant. Therefore, since evaporator pressure has positive and negative effect on the objective functions, the distribution of this parameter within its allowable range has a scattered distribution, as shown in Fig. 6.38c. 6.2.4.4.3 Closing remarks The comprehensive thermodynamic modeling and multi-objective optimization of a multigeneration energy system provides useful information. A calculus-based optimization approach using evolutionary algorithms (i.e. genetic algorithms) allows multi-objective optimization of the multigeneration plant. Environmental impacts are quantified conveniently as pollution-related costs in the economic objective function, transforming the environmental objective to a cost function. Merging the new environmental cost function with the thermoeconomic objective yields a useful thermoenvironomic function. Fitting a curve on the optimized points provides a closed form equation. 153PDF Image | Energy Systems for Multigeneration Purposes
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