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  3. Bioenvironmental Systems Engineering / 生物環境系統工程學系
  4. A Spatial Planning Model for Supply Chain Optimization of Converting Paddy Rice Straw to Biomass Ethanol – A Case Study of Chia-Nan Irrigation Areas
 
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A Spatial Planning Model for Supply Chain Optimization of Converting Paddy Rice Straw to Biomass Ethanol – A Case Study of Chia-Nan Irrigation Areas

Date Issued
2012
Date
2012
Author(s)
Tang, Yu-Ching
URI
http://ntur.lib.ntu.edu.tw//handle/246246/248459
Abstract
Biomass ethanol is a kind of biomass energy. Biomass energy is organic compound and can be made into fuel or raw materials. The purpose of this study is to analyze the supply chain of converting paddy rice straw to biomass ethanol. The alcohol is converted from cellulose. Biomass energy sources can be divided into the following categories: crop, energy crops, algae, agricultural waste. Because Taiwan''s fine agricultural policy, it is impractical to plant crops specifically for biomass energy. Therefore, the object of this study focuses on the rice straw in agricultural waste. The research area of this research is Chia-Nan Plain, which is the largest agricultural area of Taiwan. Due to climatic factors, the features of Chia-Nan Plain are wet summer, dry winter, and a long duration of sunshine. Taiwan''s agriculture often has aftergrowth, which means that there will be two time points within one year of production of rice and rice straw. Throughout the resource allocation process in this study, GAMS (General Algebraic Modeling System) optimization model has established for the study structure. GAMS is a model dealing with linear and nonlinear problems, with the ability of importing and exporting all kinds of information, such as Excel data. In this study, the program processes the allocation of resources from rice straw to bio-ethanol. Bio-ethanol can be converted from rice straw. Farmers distribute rice straw to plant for transforming into ethanol. Then the ethanol supplies to the market. Consider the problem of the rot of rice straw, and find all possible minimum cost. Finally, use the implementation of the program to minimize target solution, and the value of each variable. Then we can judge the results and make the spatial analysis.
Subjects
bio-ethanol
cellulose
rice straw
aftergrowth
spatial analysis
Type
thesis
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