CO2 emission of rail transportation system plays more important role including the expansion of BTS route that consume the energy and emit CO2 gas more and more. The purpose of this research was to find out amount of CO2 emission from travelling by BTS train and determine specific CO2 emission per product in the form of gCO2e/passenger/km then forecasting on CO2 emission from BTS operations. Research process was initiated from collecting monthly data on ridership distance and electricity for 55 months continuously then regression analysis CUSUM and time series analysis were used for prediction and analysis of CO2 emission. The finding indicated that BTS’s specific CO2 emission was 24.7 gCO2e/passenger/km. Forecasting CO2 Emission from BTS result that Winters Exponential Smoothing Method is most accuracy then Double Exponential Smoothing Method Trend Analysis Method and Decomposition Method respectively. The result of these analysis could be used to calculate carbon footprint from staff travelling by BTS train and promote people to use public transport by government as sustainable transportation concept.

This thesis presents a method of compare the reducing high voltage source more than necessary to the pilot study two plants in case of load near power station the same distance but different. There are 2 methods first method reducing the voltage by adjusting tap transformer. Other method installed by voltage equipment. Regulator in a factory used 2 methods for measured the value of voltage before&after and continued to reduce the voltage until minimum loading that this factory can normal operate. From two trials we found that reducing the voltage by installation voltage regulator/voltage equipment can save more energy cost 10.23% than adjusting tap transformer that can save only 4.66%. And analysis of Specific Energy Consumption (SEC) by reducing the voltage level of the industry. Energy consumption kWh per 1 output (plastic bottles) Then lower from 0.119 kWh per 1 bottle remaining 0.089 kWh per 1 bottle This is in line with the energy analysis that main control electric power.

This thesis presents an assessment of voltage sags when faults are happened in the 115 kV transmission line of the Provincial Electricity Authority (PEA) when distributed generation (DG) is installed in the system. The computer program PSCAD/EMTDC (Power Systems Computer Aided Design / Electromagnetic Transient in DC system) version 4.2 is applied to provide electrical parameters for the modeling and simulation and to analyze the fault occurred which resulted in voltage sag. Test results from PSCAD/EMTDC show the values of voltage sag when 5 types of fault are occurred (Single Line to Ground Fault Double Line to Ground Fault Three Phase to Ground Fault Line to Fault and Three Phase Fault). For all cases the value of root mean square voltage before fault is 100% or 1.0 pu. It can be seen that for both radial line and closed circuit when DG are installed in the system the value of phase to ground RMS residual voltage and phase to phase RMS residual voltage at the bus of Bang-pa-in 2 substation are more than the values in case of the system without DG.

This thesis presents the Power Quality (PQ) analysis of solar power plant 1MW and economic impacts in the distribution power networks. The case study focuses on the penalty fee (fine) from consume the reactive power less than the limit of the Provincial Electricity Authority (PEA) of Thailand. The fine have been charged up to 900000 baht per year. Therefore the thesis studies and purposes the possible solution by analysing the operating function of the inverter (supports reactive mode) installing the adjustable capacitor bank 1500kVar in the Medium Voltage (MV) level and lastly installing the adjustable capacitor bank 1500kVar in the Low Voltage (LV) level. The results shown that the possible solution that reduces the fine is installed the adjustable capacitor bank 1500kVar in the MV. The investment of this installation is cost 1800000 baht with the nominal operation over 10 years. The analysis of financial investment which bases on the Net Present Value (NPV) the Benefit-Cost ratio (B/C) the Pay Back period (PB) is presented the NPV at 4902971 baht B/C 3.72 and PB 2 year (with the Internal Rate of Return; IRR 49.7 percent).

The objective of this research is to improve for material procurement decision support making process by using Lean Concept. The research methodology studied purchasing procurement and whole of production in local country of case study by making Value Streaming Mapping (VSM) calculated of production standard time set buffer time kept inventory and suitable supplier’s capacity. Finally used all data for design and develop computer program into support analyze and follow up delivery goods system to customer. Result of research found this new development program could increase delivery goods to customer efficiency by response with material preparation can improved average On Time Delivery rate at 94.55% and increased productivity from 966 to 1125 pcs/day; therefore case study had well increased local purchasing procurement efficiency reduced purchasing cost to 2.27 million Baht/month reduce Fuel cost at 46225.08 Baht/year on average and reduce greenhouse gas at 4.117 TonCo2e per year on average. They can support highly competitive and rapidly changing of electrical and electronics industrial to sustainable in the further.