Investigation of energy and economic parameters of photovoltaic cells in terms of different tracking technologies
Author(s) -
Reza Alayi,
А В Севбитов,
Mamdouh El Haj Assad,
Ravil Akhmadeev,
М.Е. Косов
Publication year - 2021
Publication title -
international journal of low-carbon technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 26
eISSN - 1748-1325
pISSN - 1748-1317
DOI - 10.1093/ijlct/ctab093
Subject(s) - photovoltaic system , bittorrent tracker , solar tracker , electricity , power (physics) , maximum power point tracking , automotive engineering , environmental science , solar energy , production (economics) , cost of electricity by source , electricity generation , process engineering , computer science , electrical engineering , engineering , physics , economics , artificial intelligence , quantum mechanics , inverter , eye tracking , macroeconomics
The utilization of photovoltaic (PV) cells has greatly expanded due to the simplicity of technology and cheapness compared to other solar technologies. However, due to the change in the position of the sun, it has reduced the production capacity and electrical efficiency of this technology as the reduction of production capacity to supply electricity has increased investment costs. In this research, modeling of silicon crystal PV cell with the aim of influencing the types of solar trackers on the amount of power produced by PV cell and economic parameters has been done, which is intended for the following four modes: without solar tracker, horizontal tracker, vertical tracker and two-axes tracker. The highest output power is related to the two-axes tracker with a value of 9586 kWh/yr, which for this technology has a maximum output power of 4.35 kW. Also, the cost of energy produced by this technology is $ 0.875/kWh.
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