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        Experimental and Thermal Analysis of Solar Thermoelectric System Performance Incorporated with Solar Tracker

        Tahsin Atalay,Yusuf Yakut,Yavuz Köysal,Seyda Özbektaş,Hakan Bülbül,Bahattin Topaloğlu 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.2

        In this study, it is aimed to determine the energy generation capability of the designed and manufactured thermoelectric system when mounted on the two-axis solar tracking system. Thus, it was possible to compare the results obtained from current study with previous study. The system used in previous study was comprised of a thermoelectric generator (TEG) for energy conversion, a linear Fresnel lens for concentrating solar rays, and a one-axis tracking system to increase the electrical and thermal efficiency of the system. In this study, a dual-axis (two-axis) tracking system was used as a tracking system to examine the change in thermal and electrical efficiency. Therefore, experimental measurements were performed again using both two-axis and one-axis solar tracking systems on 16th October 2019 and 17th October 2019, respectively, at the location which falls at 41°14′ N and 36°26′ E. Additionally, the heat transfer and electricity generation performance of TEG was theoretically analyzed using CFD model. For this purpose, a numerical model consisting TEG with heat sink was developed. It was observed that the model data obtained and the experimental data were in good agreement. The values of parameters such as temperature, solar radiation, wind speed and TEG open circuit voltage were measured instantaneously during the measurements. The maximum open circuit voltages obtained is 1.02 and 1.13 V for one-axis and dual-axis systems, respectively. The solar radiation values were measured as 464 and 472 W∕m2 , respectively when the maximum open circuit voltages value is obtained. The duration for measurements was kept about 15 min so that the average values of these parameters were used in calculations. Thus, the values of maximum output power ( P maxout) , electrical efficiency (ηe) and Seebeck coefficient ( TEG) were calculated and given in the paper.

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        The profile of musculoskeletal pain and its associations with sleep quality and depression during the COVID-19 in Turkey

        Merve Karatel,Zeynep Irem Bulut,Erkin Oguz Sari,Zerrin Pelin,Yavuz Yakut 대한통증학회 2022 The Korean Journal of Pain Vol.35 No.1

        Background: The current pandemic has affected people’s health multidimensionally. This study aims to investigate musculoskeletal pain, sleep quality, depression levels, and their relationships in individuals belonging to different age groups during COVID-19 in Turkey. Methods: A web-based self-administered survey that consisted of demographic questions, The Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), and scores of musculoskeletal pain was sent to participants. Pearson correlation analysis was used for determining the statistical relationship between variables. Results: The study includes 1,778 participants. The highest percentage for mild, moderate, and severe pain was in the head (49.8%), back (15.5%), and head (11.5%), respectively. The PSQI-total had shown a weak correlation with pain levels in all body parts. The highest correlation for sleep quality and pain levels was between the PSQI-5 and lower back pain. There was a weak correlation between PSQI- 2 and the BDI score, and a moderate correlation between the PSQI-1, PSQI-5, PSQI- 7, PSQI-total, and BDI score. Pain in all body parts showed a weak correlation with depression level. Conclusions: This study showed that musculoskeletal pain was varied in body parts with different intensities according to age groups in Turkey during the pandemic. The most common pain was in the head, back, and lower back. Headache was found correlated with the parameters of sleep quality. Pain of the head, neck, back, lower back, and shoulder were correlated with sleep latency. Sleep quality was associated with depression and musculoskeletal pain, while musculoskeletal pain was correlated with depression.

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