2020
DOI: 10.1016/j.solener.2020.05.008
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Novel method of thermal behavior prediction of evacuated tube solar collector

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Cited by 13 publications
(3 citation statements)
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“…They found that the best performance gain was achieved by using hybrid heat pipes with fins or metal foam and that using hybrid nanoparticles with metal foam or fins was more effective than using only nanoparticles. Nokhosteen and Sobhansarbandi [11] developed a modified resistance network (RN) model which accounted for ambient conditions and angular distribution of solar radiation on the periphery of the HP-ETSC to predict the temperature distribution and average fin temperature of the collector, reporting the maximum error of the model as 10%. Elsheniti et al [12] developed a theoretical model to predict the performance of the ETSC.…”
Section: Introductionmentioning
confidence: 99%
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“…They found that the best performance gain was achieved by using hybrid heat pipes with fins or metal foam and that using hybrid nanoparticles with metal foam or fins was more effective than using only nanoparticles. Nokhosteen and Sobhansarbandi [11] developed a modified resistance network (RN) model which accounted for ambient conditions and angular distribution of solar radiation on the periphery of the HP-ETSC to predict the temperature distribution and average fin temperature of the collector, reporting the maximum error of the model as 10%. Elsheniti et al [12] developed a theoretical model to predict the performance of the ETSC.…”
Section: Introductionmentioning
confidence: 99%
“…One of the greatest difficulties of simulating the solar thermal collecting system accurately is unreliable solar irradiance during the day, which directly relates to the amount of energy absorbed and transferred through the evacuated tube. Many researchers have developed theoretical models to predict the solar collector performance by estimating the heat absorbed from solar irradiance, which sometimes unpredictably fluctuates based on thermal radiation and heat transfer via heat pipe based on heat transfer principles [9,11,12]. In this manner, many complicated heat transfer equations with complicated thermal resistance networks inside the HP-ETSC must be set up and solved.…”
Section: Introductionmentioning
confidence: 99%
“…Bhave and Kale (2020) used a phase change material solar salt and proved the possibility of frying and cooking in the shade inside the kitchen. Nokhosteen and Sobhansarbandi (2020) adopted the Resistance Network (RN) model to predict the performance on solar collectors using heat pipe evacuated tube. Results of a model was in excellent agreement with the experimental work with a minimum error of 10%.…”
Section: Introductionmentioning
confidence: 99%