Reversible solid oxide cells can provide efficient and cost-effective scheme for electrical-energy storage applications. However, this technology faces many challenges from material development to system-level operational parameters , which should be tackle for practical purposes. Accordingly, this study focuses on developing novel robust artificial intelligence-based blackbox models to optimize operational variables of the system. A genetic-programming algorithm is used for Pareto modeling of reversible solid oxide cells in a multi-objective fashion based on experimental input-output data. The robustness of the obtained optimal model evaluated using Monte Carlo simulations technique. An optimization study adopted to optimize the operating parameters, such as temperature and fuel composition using a differential evolution algorithm. The objective functions that have been considered for Pareto multi-objective modeling process are training error and model complexity. In addition, the discrepancy between maximum and minimum output voltage in the whole operation of the system is chosen as the optimization process objective function. The robustness of the optimal trade-off model is shown in terms of statistical indices for varied uncertainty levels from 1 to 10%. The optimized operational condition based on the suggested model reveals optimal intermediate temperature of 762 °C and fuel mixture of about 29% H 2 , 25% H 2 O, and 14% CO.
The present experiment was designed to study the effect of dietary incorporation of eucalyptus leaf powder on the average weekly feed intake and egg production of commercial laying hens. A 12-week feeding experiment was conducted on 72 White Leghorn laying chickens of 28 weeks of age. Hens were randomly assigned to one of four treatment groups, each having 18 birds and three replicates of six birds. Four treatments were included as a control (T1): basal diet, (T2): Incorporation of 0.3% eucalyptus leaf powder in the basal diet containing phytase, (T3): Incorporation of 0.45% eucalyptus leaf powder in the basal diet containing phytase, (T4): incorporation of 0. 6% eucalyptus leaf powder in the basal diet containing phytase. Daily feed intake and egg production were recorded. The results revealed that Supplementing Eucalyptus (Eucalyptus Globulus) Leaf powder did not affect the cumulative performance of laying hens in terms of feed intake and egg production (P>0.05). Based on the above findings, it was determined that adding 0.3 percent eucalyptus leaf powder to the basal diet containing phytase improves egg production. Furthermore, because Eucalyptus leaves can be procured at no cost, their incorporation is cost-effective and can help reduce feed expenditures.
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