2011-08-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/704137摘要： 第二代生質能源是利用非糧食性的作物來生產能源，過程中將原料中的纖維質分解以生產纖維質酒精能源，第二代生質能源常採用較無爭議性的農業廢棄物或具生產潛力的能源作物來作為原料，但因為台灣的土地資源有限，無法大量栽種能源作物，故農業廢棄物是台灣現階段生質能源原料的最佳選擇，其中農業廢棄物表示農業生產過程中的剩餘物來做為原料，包含稻桿、甘蔗渣、玉米梗等。 本研究將選用台灣最豐富的農業廢棄物原料-稻桿，研究稻桿酒精的供應鏈分析，利用稻桿生產纖維質酒精包含以下三個主要過程：(1)纖維質酒精原料的供應-稻桿的產量、儲存與運送(2)利用稻桿生產纖維質酒精的製造過程(3)纖維質酒精的運送與供應，本研究的供應鏈分析將針對稻桿生產纖維質酒精的三個過程，進行經濟與環境影響評估。研究中將分析最佳的生質能源供應鏈，並建立環境影響評估及經濟分析模式，並比較第一、二、三代能源作物的對環境生態的衝擊，這些模式將提供各類能源最佳的原料供應與生產流程，也將分析其產品（稻桿酒精與生質柴油）的成本、生產量、資源需求及市場需求。本研究主要研究目的為以下方向：  分析稻桿酒精最佳供應鏈：本研究將建立生質能源供應鏈的數學模擬模式，研究結果將提供最佳的生產流程。  分析稻桿酒精供應鏈的環境影響：本研究將建立生質能源供應鏈的環境影響分析模式，此研究結果將提供生質能源的生命週期分析。  分析稻桿酒精供應鏈對經濟的影響。 本研究計畫流程與預期成果主要分為以下四個步驟： (1) 文獻回顧與資料收集：首先將收集稻桿酒精生產系統的相關文獻與資料參數，並建立生質能源生產及成本的參數資料庫。 (2) 模式建立：先建立具高速計算的電腦硬體設施，並利用相關的軟體來建立稻桿酒精供應鏈數學模式、環境影響衝擊、經濟分析（成本分析與賽局分析）模式。 (3) 分析結果：利用上述模式分析稻桿酒精供應鏈對環境及經濟的影響。 (4) 撰寫報告與研究論文：將公開發表本研究之成果於研討會或相關研究期刊。 <br> Abstract: The rice straw bioethanol production system has interrelated tasks including harvesting, storage, and transportation of biomass. The goal of this research is to analyze the environmental and economic impact of the rice straw bioethanol production system. Mathematic modeling is used to analyze the environmental and economic complexity of production system. The approach is a computational approach that disaggregates system participants and analyzes the strategic behavior of multiple agents in complex system problems. The rice straw for bioethanol feestock is analyzed in this research. Three main research goals are as follows.  Optimal rice straw bioethanol production system: This research formulates a mathematical model to simulate energy crop production system and optimal production framework is established.  Environmental impact analysis: Life cycle analysis for rice straw bioethanol production system is analyzed in this study.  Energy and economic analysis for energy crop production: Economic model is built here to measure the impact of rice straw bioethanol production. First (food energy crop), second (non-food energy crop) and third (algae) generation energy crops are compared in this research. Different potential candidate crops are expected to discuss. To use the mathematical modeling approach, this research starts from defining interactive behavior of agents at the individual level and ends up with simulating performance of whole feedstock production system at the comprehensive level. In the model, dynamic learning rules and adaption processes are enabled for agents to respond to the environment. The outcome of the model is able to show the dynamics of actions and reactions among agents. Four stages and their outcome of this research are listed below. 1. Literature review and data collection: At first stage, this research surveys previous studies and collects data for energy crop production system. 2. Model: Second, supply chain, environmental and economic models are established for production system. 3. Result and conclusion: Results from models are analyzed and reported at this stage. 4. Paper and report: In the final stage, the outcome and contribution of the study is expected to publish in the report and paper.稻桿纖維質酒精生質能源供應鏈分析環境影響經濟分析rice strawbioethanol production systemsupply chainenvironmental impacteconomic analysis