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.

Increasing concentrations of CO2 in the atmosphere is causing severe environmental destruction to the earth. Bio-sequestration of CO2 is a promising way to completely sequester CO2 by converting it into biomass by way of photosynthesis. The current research focused on biomass productivity and CO2 sequestration efficiency using microalgae. The experiment choose Spirulina sp. RMUTL by cultivating in working volume 8 liters bioreactor with zarrouks medium for 24-hrs with light nature and aeration air. The CO2 (100%) was flushed into the medium with a flow rate were 0.01 0.02 and 0.03 vvm respectively. The period of all experiments were 30 days. The results showed that the maximum specific growth rate OD560 algae biomass productivity efficiency of CO2 reduction CO2 fixation rate and carbon loading rate were 0.35±0.01 d-1 0.85±0.00 600.00±10.00 mg.L-1 96.83±0.76% 1 128.00±18.80 mg.L-1.d-1 and 2 0 . 4 1 ±0 . 2 6 g. d-1 with 0.01 vvm CO2 flow rate. The average CO2 sequestration over 30 days were 3.15.±0.03 3.11.±0.02 and 3.07.±0.07% in 0.01 0.02 and 0.03 vvm CO2 flow rate respectively.

The objective of this study were 1) to develop the gas detector unit for installation on Drone and 2) to test the operational sensitivity of the developed device. The development steps included designing complying the electrical circuit testing the electrical system and online connecting system. Besides the operational sensitivity of the developed device was tested comparing the Gas Alert Micro 5 IR the reference gas detector device both in the laboratory and the field site. The results showed that the developed gas detector could detect carbon dioxide carbon monoxide and methane and displayed the results via Line notification every minute. Additionally carbon dioxide detection by MG-811 sensor gave the results similar to the reference device by 95 percent of significant level with the average amount of detected carbon dioxide in the laboratory and the field site were 700-915 ppm and 138-399 ppm respectively. However the measured results of carbon monoxide and methane from the develop device were relatively different to the reference device. Further study on carbon monoxide sensor and methane sensor calibration are recommended.