Determination and Modeling of Optimal Slope Angle in Photovoltaic Batteries for Agricultural Enterprises in Yüreğir Plain

Energy inputs are important and constantly increasing costs in agricultural production. Increased energy costs in agricultural and concerns about global greenhouse gas emissions draw attention to internal enterprise energy consumption. However, researches on the use of electricity in agricultural are inadequate in many countries such as Turkey. This situation limits the energy recovery decisions and final assessment of investment. Due to the limited reserves of traditional fuels and high cost of electrical energy, it is aimed to investigate the usability of solar power, which is an inexpensive, renewable and easily available energy source, in agricultural enterprises with PV panels by using different inclination angles and also to determine the optimum inclination angle for electricity production. In this study, design of a PV-Roof systems was conducted to meet the electrical energy demand by photovoltaics and to reduce carbon dioxide consumption by this way in modern agricultural enterprises in Çukurova conditions. For these aims, where the data sets are insufficient, a methodology has been developed on the use of photovoltaics. These are composed of 40 different modules including 5 different panel positionings and 8 different slope angles. As a result of the statistical analysis, a PV-Roof system is designed as an alternative to grid electricity for optimum conditions including techno-economic determinations. The installed photovoltaic power of 330 kW was obtained from 2 154 m2 panel. The repayment of the system was 6 years and economic life was 20 years. According to the obtained data, whole electricity used in agriculture (12 387 GWh) which corresponds to 6% of the total electrical energy consumption in Turkey may be produced by PV systems. Also this could reduce CO2 production by 6 540 222 t.year-1. The main reason to see different values from other countries are the differences in environmental conditions and technologies used in the farms.