จำนวน Repository ( 14 )
การกำหนดแนวทางการลดคาร์บอนฟุตพริ้นท์ขององค์กร สำหรับโรงแรมขนาดกลางและขนาดเล็กในประเทศไทย โดยใช้การประเมินคาร์บอนฟุตพริ้นท์ขององค์กรตามแนวทางขององค์การบริหารจัดการก๊าซเรือนกระจก (องค์การมหาชน)
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.
Model for assessing fuel saving of automobile drivers in Nonthaburi province
The research was aimed at studying 1) fuel energy saving of automobile drivers in Nonthaburi province 2) a correlation between cause and effect on fuel energy saving of automobile drivers in Nonthaburi province and 3) a model made for assessing fuel energy saving of automobile drivers in Nonthaburi province. The questionnaires were constructed as a tool for collecting data from 2389 automobile drivers who had been getting their car filled in gas station in Nonthaburi province. The statistics used for analysis were SPSS version 17.0 with frequency distribution percentage arithmetic mean K related samples and path analysis. The research finding indicated that the 98.06 percents of automobile drivers in Nonthaburi province had knowledge about fuel energy saving the 87.99 percents had agreeable attitude towards fuel energy saving and the 80.59 percents had operated fuel energy saving. They all had different levels of knowledge attitude and operation. It showed that the automobile drivers with knowledge and agreeable attitude didnt sometimes put it into operation and they sometimes had disagreeable attitude in spite of having knowledge. The result of hypotheses tests at the statistical significance of 0.05 showed that the types of fuel energy used in the car a change of types of fuel energy used in the car knowledge provided about fuel energy saving in the car knowledge and attitude towards fuel energy saving in the car correlated with fuel energy saving of automobile drivers in Nonthaburi province. Moreover a model made for assessing fuel energy saving of automobile drivers in Nonthaburi province was
Factors Correlates of Electric Energy Saving Behavior of Students in Rajamangala University of Technology
This research aims to study factors relating to and influencing students’ behavior of electricity Saving. The samples are students of Rajamangala University of Technology in 2007 academic year. Based on quota sampling 100 students from each of 9 universities at a total of 900 are selected. The tools used in this research include questionnaires and with rating scales. The variables are divided into 5 group : 1) Psychological traits variables; 2) situational variables; 3) psychological situtional variables; 4) electricity saving behavior variables; and 5) the general qualifications of students including sexes educational levels location GPA family income the number of family members educational level of father and educational level of mother all of which are the sub-variables in analyzing data. The data was collected during January and May 2007. Then it was analyzed by a ready-to-use program with statistecs percentage t-test Person’s Product Moment Correlation Coefficient and Multiple Regression Analysis of Enter Stepwise and Hierarchical.