This thesis aims to study the optimization of the supply fuel system of pipeline by improving the pumps system from use pump size 1850 kW (2 pupms) and use only control valve. We design new system by use pump size 1850 kW (2 pumps) with variable speed motors (VSD). In this way we can control stability of opening and closing of the valve at 100% and use adjusting of the frequency of VSD as follow typing of fuel. To analysing of efficiency system we will use fuel 4 type that have different coefficient of density are JET A1 Disel B91 and B95. And then we compared the relationship between the quantity of each fuel per time and usage of power for the old system and new design that we found the new design as analyze the result and as follow the theory of Affinity Law have the value of efficacy more than. And it also can save energy cost to 52.13%

In general the measured resistance with a digital multimeter. Users tend to be measured and then displayed on the screen to the user regardless of the value that is accurate or not. The value displayed on screen digital multimeter may be incorrect. As a result from wires access point measurement and other factor that affect to the value of measurement. Thus the study of factors that affect the measurement to get the accurate and more precise and also can be used in the operations. According to international standard quality system requirements for ISO are clearly on the meter or the measuring device must be calibrated and in the certificate specifies the gain calibration and the uncertainty of measurement. Therefore it is necessary to evaluate the uncertainty of measurement to comply with the standard splash. This thesis presents a study of the effect to the measurement resistance in 0.01 ohm to 100 mega-ohm by direct measurement for 2wire & 4wire Loading effect Using different kinds of conductors Thermal EMF and the stability of the resistor. Include the statistical analysis was used to estimate the uncertainty. From this study can be applied to measure the resistance in a variety of accurately and precisely.

This study is to determine guideline to reduce carbon footprint for organization of medium and small hotels in Thailand using the Carbon Footprint for Organization (CFO) according to Thailand Greenhouse Gas Management Organization (Public Organization). Conducting with 2 represented medium and small hotels the results showed that the overall carbon footprint average of 2013 was 553t.Co2-e. Considering concentration index by number of guestrooms the carbon footprint was 18.81 kg.Co2e/room-night 221.16 kg.Co2-e/m2 by total floor area and 11.65kg.Co2- e/personby guest. The dominant source of carbon footprint was use of electricity 465t.Co2-e(83.06%). Base on this assessment to use of air conditioning was 60.09 % water heater 17.64 % lighting equipment 15.05 % and other 7.22 % of total electricity used. Therefore guidelines for carbon footprint reducing of the representative hotel were to use technology to reduce electricity consumption for air conditioning water heater and lighting respectively. Based Approach to Reducing Carbon Footprint found that small and medium sized hotels can reduce emissions per year 24.87 t.CO2-e representing the ability to reduce greenhouse gas emissions by up to 4.49% or financial projections be able to save money 171.202 baht per year.

The purposes of the research were; 1) to study the relative rotation of AC-generator 2) to study the angular velocities of magnetic coil and permanent magnetic influence generating voltage of AC-generator and 3) to construct predictive equations of generating voltage of AC-generator. By the 12-V 6-pole alternator of motorcycle Pearson’s correlation and regression analysis the findings revealed that: 1) At the lowest relative angular velocity of 376 rpm the generating voltage is 3.28 V. While the highest relative angular velocity of 2280 rpm the generating voltage is 22.98 V. 2) The angular velocity of permanent magnetic has great influences on generating voltage than the angular velocities of magnetic coil at the .01 level of significant and 3) function as below : Generating voltage = 0.806 (Velocity of permanent magnetic) + 0.634 (Velocity of magnetic coil)

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