| Author | Kraiwit Thampanyasakul |
| Note | A thesis submitted partial fulfillment of the requirements for the
degree of Master in
Industrial and Manufacturing Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Nowadays, the power plant that used renewable energy sources for generating electric power. Biomass is the one of renewable energy sources which comes from organic materials. In Songkhla province of southern Thailand, there is the largest rubber plantation in the country. The waste rubber wood from plantation and furniture manufacturing was purchased as fuel for electricity generation in Songkhla biomass power plant (SKB). The problem was found that rubber wood chips was placed on the open storage yard for sun drying, which the moisture content of materials was increased by rainfall in rainy season. As a result, the overall efficiency was reduced. This research aims to optimize the boiler efficiency of SKB by adjusting the relevant variables. From the historical data, the regression model was built by Datafit program to find optimized heat rate and the most influence variable. The obtained results showed that the moisture content is the most impact on heat rate. Thus, it should be reduced to get better boiler efficiency. The solar dryer was recommended for drying the materials, which has three types such as direct-type, indirect-type and mixed-mode. The lowest payback period of solar dryer is direct-type in around three years. |
| Year | 2017 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Bohez, Erik L. J.;Huynh Trung Luong |
| Examination Committee(s) | Mongkol Ekpanyapong;Surachai Sanitjai |
| Scholarship Donor(s) | Royal Thai Government Fellowship |
| Degree | Thesis (M. Eng.) -- Asian Institute of Technology, 2017 |