Solar chimney is one of the ideal green energy production systems which can be used especially in desert areas. Due to the high radiation of solar intensity in the Kerman area of Iran, it can be considered as a potent...
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Solar chimney is one of the ideal green energy production systems which can be used especially in desert areas. Due to the high radiation of solar intensity in the Kerman area of Iran, it can be considered as a potential region for employing this kind of energy. One drawback of using the solar chimney is its low efficiency in the night time. In this study, a new optimal configuration is designed to generate both electricity and heat simultaneously. For continuously supplying the electricity, the considered combination gives good result while at night time, the backup energy can be supplied by generating the hydrogen with a solid oxide electrolysis cells and converting it to the electricity by solid oxide fuel cells. Afterward, a fluid search optimization algorithm is employed for generating an optimal economic system. The impact of the pressure of HRSG and the length of the cells are 3.21% and 21.17%, respectively. The effect of the other parameters is ignored. Experimental results showed that the efficient value for FSO and NSGA-II are achieved in 64 and 70 iterations and the optimal value belongs to FSO with 27,527,116,953 $ which shows using the designed configuration can better supply the demand properly in the summer than the winter and in the winter, there is more need to use the backup stored energy.
In the field of agriculture,variable-rate herbicide spraying(VRHS)technology has been used to solve the low efficiency of pesticides and crop chemical *** key of VRHS is the quick and precise identification of weeds f...
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In the field of agriculture,variable-rate herbicide spraying(VRHS)technology has been used to solve the low efficiency of pesticides and crop chemical *** key of VRHS is the quick and precise identification of weeds from field images,which forms a weed *** searchoptimization(FSO)was able to simplify the threshold optimization process to create a weed map,which simulated the fluid flowing from high pressure to low pressure,but it is time consuming and often converges ***,an explosion mechanism and a twophase optimization were introduced to improve the FSO-based segmentation *** of segmentation weeds from a corn field at seedling growth stage showed that the IFSO algorithm obtained the best accuracy of 93.3%and the least running time of 0.019 s,compared with the standard PSO,GA,and FSO algorithms.
The objective of this research is to investigate the effect of land-use and climate change on the volume of runoff produced and its impact on water resources. It is clear that the more accurate the assessment of runof...
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The objective of this research is to investigate the effect of land-use and climate change on the volume of runoff produced and its impact on water resources. It is clear that the more accurate the assessment of runoff in the future, the better the evaluation of the impact of land-use and climate changes on water resources. Thus, to more accurately predict water sources in the future, runoff is estimated using two Soil and Water Assessment Tool (SWAT) and SWAT-DEEP-IFSO models. The results showed that the SWAT-DEEP-IFSO model has a better estimation than the SWAT method. Because Deep Belief Network and an improved optimizationalgorithm called Improved fluidsearchoptimization (IFSO) algorithm have been utilized in optimizing the hybrid SWAT model that can reduce the error of runoff simulation. After selecting the best model for estimating runoff, the effect of land-use and climate change is evaluated using different scenarios. Results show that the simulated runoff under the influence of climate and land-use changes can impact on the average yearly and monthly runoff. These factors have a significant effect on the average yearly runoff changes and are predicted an increasing trend for average yearly runoff. But climate and land-use changes have a different impact on the different months and for some months of the year the runoff has an increasing trend and for some months the runoff has a decreasing trend. Based on land-use scenarios, it is found that due to the decrease in rangelands and increase in agricultural lands, there is a possibility of severe floods and drought periods in the region, which reduces the water resources of the study area.
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