Mohamed Alageli M. MILLADOsman ÇİÇEKFaruk ERKEN2023-04-142023-04-142019-12-01Millad, M., Çi̇çek, O., Erken, F. (2019). ENERGY PREDICTION BASED ON MODELLING AND SIMULATION ANALYSIS OF AN ACTUAL GRID-CONNECTED PHOTOVOLTAIC POWER PLANT IN TURKEY. European Journal of Technique, 9(2), 159-174https://search.trdizin.gov.tr/publication/detail/383537/energy-prediction-based-on-modelling-and-simulation-analysis-of-an-actual-grid-connected-photovoltaic-power-plant-in-turkeyhttps://hdl.handle.net/20.500.12597/7344Turkey has invested in generating solar power industry to meet the energydemand as well as saving the national energy resources. The government hasalso substituted some of the energy consumption with clean energy sources,especially on-grid PV power plants. In recent years, a number of incentivesare provided to persuade investors to invest in solar energy sector in Turkey.In this context, KRMN-SNAPS 1.6 MW PV power plant is installed in KonyaProvince in the Central Anatolia region of Turkey. The most importantinformation that have to be known in advance are the cost and duration of theinvestment. Therefore, pre-investment production analysis of the PV powerplant is very essential. The performance of the power plant depends on someparameters for instance temperature, irradiance and sunshine duration. Inthis study, solar PV arrays are modelled by using MATLAB/Simulink and thepower plant is simulated based on the above mentioned meteorologicalparameters. The simulation results of the PV power plant were compared withthe actual production data. In the simulation, long-term average data onproduction of the location were used and it is observed that the simulationresults and the one year's actual production data are compatible with eachother.enginfo:eu-repo/semantics/openAccessRESEARCH10.36222/ejt.593250383537159174922536-5134