Electrical power output potential of different solar photovoltaic systems in Tanzania

被引:0
|
作者
Warburg, Christopher T. [1 ,2 ]
Pogrebnaya, Tatiana [1 ]
Kivevele, Thomas [1 ]
机构
[1] Nelson Mandela African Inst Sci & Technol NM AIST, Sch Mat Energy Water & Environm Sci MEWES, Arusha, Tanzania
[2] Sokoine Univ Agr, Dept Forest Engn & Wood Sci, Morogoro, Tanzania
关键词
Solar PV; system configuration; energy output; energy cost; Tanzania; PV; SIMULATION; WORLD;
D O I
10.61435/ijred.2024.58972
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study examines the photovoltaic (PV) energy output and levelized cost of energy (LCOE) in seven regions of Tanzania across five different tilt adjustments of 1 MW PV systems. The one-diode model equations and the PVsyst 7.2 software were used in the simulation. The results reveal variations in energy output and LCOE among the regions and tilt adjustments indicating a strong correlation between PV energy output and solar irradiance incident on the PV panel. For horizontal mounting, the annual energy output ranges from 1229 MWh/year in Kilimanjaro to 1977 MWh/year in Iringa. Among the three optimal tilt adjustments, annually, monthly and seasonal, the last two are predicted to yield larger energy outputs, whereas the two axis tracking configuration consistently provides the maximal energy output in all regions, ranging from 1533 MWh/year in Kilimanjaro to 2762 MWh/year in Iringa. The LCOE analysis demonstrates the cost-effectiveness of solar PV systems compared to grid-connected and isolated mini -grid tariffs. The LCOE values across the regions and tilt adjustments range from $0.07/kWh to $0.16/kWh. In comparison, the tariff for grid-connected solar PV is $0.165/kWh, while for isolated mini -grids; it is $0.181/kWh. The monthly optimal tilt configuration proves to be the most cost-effective option for energy generation in multiple regions, as it consistently exhibits the lowest energy cost compared to the other four configurations. The results provide valuable insights into the performance and economic feasibility of various system setups. Through meticulous simulation and data analysis, we have gained a comprehensive understanding of the factors influencing energy generation and costs in the context of solar photovoltaic systems.
引用
收藏
页码:673 / 682
页数:10
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