Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131497
Title: Comparative Analysis for a Solar Tracking Mechanism of Solar PV in Five Different Climatic Locations in South Indian States: A Techno-Economic Feasibility
Authors: Praveenkumar, S.
Gulakhmadov, A.
Kumar, A.
Safaraliev, M.
Chen, X.
Issue Date: 2022
Publisher: MDPI
Citation: Praveenkumar, S, Gulakhmadov, A, Kumar, A, Safaraliev, M & Chen, X 2022, 'Comparative Analysis for a Solar Tracking Mechanism of Solar PV in Five Different Climatic Locations in South Indian States: A Techno-Economic Feasibility', Sustainability (Switzerland), Том. 14, № 19, 11880. https://doi.org/10.3390/su141911880
Praveenkumar, S., Gulakhmadov, A., Kumar, A., Safaraliev, M., & Chen, X. (2022). Comparative Analysis for a Solar Tracking Mechanism of Solar PV in Five Different Climatic Locations in South Indian States: A Techno-Economic Feasibility. Sustainability (Switzerland), 14(19), [11880]. https://doi.org/10.3390/su141911880
Abstract: As the second most populous country in the world, India’s needs related to electricity production are still growing; thus, the country is seeking renewable energy resources as an alternative to conventional resources. Currently, India’s use of renewable energies ranks as fifth worldwide, with approximately 13.22% of the total amount of energy used in the form of solar energy, which is very nominal. Therefore, in the present study, a large-scale 20 MW solar PV power plant was modelled to access the technological and economic performances using the System Advisor Model (SAM) for the selected locations: Vishakhapatnam (VSKP), Hyderabad (HYD), Madurai (MDU), Thiruvananthapuram (TVC), and Bangalore (SBC), where solar radiation is high for South Indian states. In order to carry this out, three solar tracking mechanisms, i.e., fixed tracking (FT), single-axis tracking (SAT), and double-axis tracking (DAT), are taken into consideration at the selected locations. The results from the assessment of the FT mechanism’s yearly energy production show that 31 GWh were produced at TVC and 33 GWh were produced at VSKP, HYD, MDU, and SBC in the first year of the project, with a capacity factor (CF) from 18.5% to 19.5%. Conversely, the SAT mechanism generated an annual amount of energy, ranging from 38 GWh to 42 GWh, with an increase in the CF ranging from 22% to 23%. Furthermore, the DAT mechanism’s annual energy generated 44 GWh to 46 GWh, with the CF ranging between 25% and 26.5%. However, the recorded levelized cost of energy (LCOE) ranges were between 3.25 ¢/kWh to 4.25 ¢/kWh at the selected locations for all three mechanisms. The sensitivity analysis results also suggest that the FT and SAT mechanisms are not economically feasible because of their negative net present values (NPV) in all five locations, whereas the DAT mechanism generated positive results for all of the locations after 20 years. Furthermore, according to the study, we concluded that HYD was identified as the most feasible location in the South Indian region for installing a large-scale solar PV power project. © 2022 by the authors.
Keywords: LCOE
NPV
RENEWABLE ENERGY
SOLAR TRACKING SYSTEM
TECHNO-ECONOMIC ANALYSIS
BENGALURU
HYDERABAD [TELANGANA]
INDIA
KERALA
MADURAI
TAMIL NADU
THIRUVANANTHAPURAM
VISAKHAPATNAM
ALTERNATIVE ENERGY
COMPARATIVE STUDY
POWER PLANT
SENSITIVITY ANALYSIS
SOLAR RADIATION
TRACKING
URI: http://elar.urfu.ru/handle/10995/131497
Access: info:eu-repo/semantics/openAccess
cc-by
License text: https://creativecommons.org/licenses/by/4.0/
SCOPUS ID: 85139974575
WOS ID: 000867261300001
PURE ID: 31029123
d20d5fb9-e2b9-4735-aa0a-4914b4f59181
ISSN: 2071-1050
DOI: 10.3390/su141911880
metadata.dc.description.sponsorship: Xinjiang Tianchi Hundred Talents Program, (Y848041)
National Natural Science Foundation of China, NSFC, (41761144079, 42150410393)
Chinese Academy of Sciences, CAS, (2021PC0002, XDA20060303)
Ministry of Education and Science of the Russian Federation, Minobrnauka, (FEUZ-2022-0031)
K. C. Wong Education Foundation, (GJTD-2020-14)
Funding text 1: Strategic Priority Research Program of Chinese Academy of Sciences, Pan-Third Pole Environment Study for a Green Silk Road: XDA20060303
International Cooperation Project of the National Natural Science Foundation of China: 41761144079
Research Fund for International Scientists of National Natural Science Foundation of China: 42150410393
CAS PIFI Fellowship: 2021PC0002
K.C. Wong Education Foundation: GJTD-2020-14
Xinjiang Tianchi Hundred Talents Program: Y848041.
Funding text 2: The research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) is gratefully acknowledged: Grant number: FEUZ-2022-0031.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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