Nuha Desi Anggraeni
@itenas.ac.id
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Institut Teknologi Nasional Bandung
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Scopus Publications
Nuha Desi Anggraeni, István Seres, and István Farkas
EDP Sciences
Alternatives to traditional fossil-based energy generation are required to combat climate change and air pollution. Solar power has become increasingly appealing due to its infinite supply, ability to mitigate climate change, and non-polluting nature. The semi-transparent photovoltaics have a portion of the cell that allows light to pass through while the rest of the cell generates electricity. Energy analysis on semi-transparent photovoltaic is needed to determine their performance. The studied semi-transparent photovoltaic systems consist of ten modules combined in one panel and two separate panels. The system consists of 2x10 pieces 165 Wp Solarwatt Vision modules with 3,3 kWp capacity. The installation site’s location is the latitude 47.5946° N, 19.3619° E. The energy production of semi-transparent photovoltaics: The highest energy production per year was found in 2018 with a value of 3.18 MWh, followed by 2019, 2021, 2020, and 2017 with values of 2.76 MWh, 2.5 MWh, 2.31 MWh, and 1.68 MWh, respectively. The highest monthly energy production is found in April, May, June, and July, with values of 445618 Wh, 459812 Wh, 442955 Wh, and 496671 Wh, respectively. The further plan is to study PAR components under the modules.
Hartawan L., Taufiq F. P. A. Eka, Pramuda N. S. Muhammad, Fahdiar, and Anggraeni N. D.
AIP Publishing
Nuha Desi Anggraeni and Alfan Ekajati Latief
AIP Publishing
D. Chandra, N.D. Anggraeni, T. Dirgantara, S. Mihradi, and A.I. Mahyuddin
Elsevier BV
Abstract Previously developed affordable three-dimensional (3D) Motion Analyzer System have been employed to obtain spatio-temporal gait parameters and 3D kinematics of upper body motion of both normal subjects as well as those with spinal abnormalities. However, occlusion problems have hindered the acquisition of the data. In this work, several modifications to the 3D Motion Analyzer System to improve its efficacy are proposed. First modification is the improvement in markers tracking module to overcome the occlusion problem, and the second one is automation of the subjects’ anthropometry processing to minimize the possibility of error in data processing. The improved systems are then utilized to obtain 3D gait parameters and upper body motion during gait of 50 male and 50 female subjects as part of a continuous effort to establish Indonesia gait database. Prior to data acquisition, the subjects’ anthropometry data and body posture are examined to ascertain normalcy. The subjects’ weight and height are also assessed to ensure that they are in normal range according to Body-Mass Index (BMI) criteria. We have compared our results to those obtained in literature. The spatio-temporal and gait parameters of the subjects are in agreement with those found in literature. Furthermore, the improvements have been successfully implemented to overcome the occlusion problem and improve the program efficiency through the addition of automation of input data from a source file. Overall, the parameters obtained from this research show that the 3D Motion Analyzer system would serve the purpose of gait parameters determination well. Hence, the system has the potential for utilization as a medical diagnostic tool.