Research presents the design and construction of a prototype device alert to clean the solar panels. The measure monitoring of dust and blocking dirt surface of solar panel causes generation Energy low efficiency the devices are alerted to clean solar panel to ensure generation Energy highest efficiency and reduce the cost of solar cell cleaning which will be done 12 times a year. Researchers have introduced electrical and electronic technology with solar panels to provide a reference. Take an installed prototype in process with solar panel energy factory. After that clean the panel referred to the morning every day. This prototype will be processing performance comparison between the solar panels reference with the solar panels factory every day and results via the Internet and record the data in memory. The results of this research found that. Efficiency of electricity production is down 9% as 3 months and 10.47% of the year due to impurities. Dust cover doing have been cleaned twice the efficiency of the electricity production has remained high. This will alert you that washing does not have to be done 12 times as practiced in a solar farm reducing costs 10 times a year.

Now is a great time to be an entrepreneur as there are many solar business opportunities to develop. The market for solar products is growing quickly over last year so now this market is helping people get the most from the sun. The market and can be a great source of ideas for usage in the home and with your business. To measure efficiency of the solar energy in Thailand we have installed and tested the solar cell to detect and record the voltage electric current electric power temperature on the solar cell outdoors and check factors related to efficiency of the solar cell when high temperature and efficiency of the solar cell in various weather conditions. The following is the summary of average Wattage and used the Cumulative Sum Control Chart techniques. The Resulting research shows the direct current electric supply below: Solar cell “A” current distribute 85.78 W Solar cell “B” current distribute 81.19 W Solar cell “C” current distribute 95.65 W The temperature on the solar cell can be seen below: Solar cell “A” is 53.88 °C Solar cell “B” is 53.68 °C Solar cell “C” is 52.79 °C Summary of result is the solar cell “C” has highest electric power and the least temperature and this solar cell “C” suitable for use in Thailand. This research results is only relevant when deciding which solar cell to select

The objective of this research is to develop a small and low-cost weather station. The station will be wireless transmit and receive data via radio signals. The 45mW solar cell will be used as a solar irradiance sensor which is very expensive for the weather station and the PIC18F97J60 controller will control the transmitter and receiver system. Moreover the author has developed the weather monitoring software by using LabVIEW. After testing the measurement percentage errors with the reference weather station the results showed that the relative humidity measurement error is equal to 3.106% the temperature measurement error is equal to 0.685% the wind speed is about 4.527% the wind direction measurement error is equal to 5.236% and the solar irradiance measurement error is equal to 0.501%. The longest working distance between the weather sensor and receiver unit is equal to 145 meters.

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 %