A solar energy is most popular renewable energy source which can reduce usage of fuel in thermal generation and impact on environment. The solar energy is a clean and sustainable source. This paper proposed method of finding optimal locating and sizing of PV solar farm on the power system with minimize fuel costs by considering solar radiation in each location of solar farm. The bees algorithm (BA) is used to minimize fuel cost of thermal units by changing location and varying sizes of solar farm with security constraints of power system and solar radiation. IEEE 30 bus test system is used to verify the proposed method. The results show that the proposed method found the optimal position of solar farm with minimum economic cost

The purposes of the research were; 1) to develop the detection of the transparency of air dried rubber sheet (ADS) using solar cell module 2) to find the average voltage according to the standard ADS grade market level and 3) to construct predictive equation of output voltage of the transparency machine. Samples of this study obtained by a purposive sampling technique was the standard ADS of 652 sheets. The instruments consisted of a multi-meter and transparency machine. For statistical analysis t-test (independent samples) and f-test (one-way ANOVA) were employed. The findings revealed that: 1) The ADS transparency machine consists of solar cell module at the error of 6% 2) The average voltage according to the standard ADS classify market level of 1 2 3 and 4 are 3.41 2.80 2.49 and 1.91 V. respectively 3) The market level and thickness of ADS altogether were the variables that could predict the output voltage of the transparency machine at 86.5 %