查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-2 357050 程序最適化 1 3.0 3 ★ 蕭郁達化工所
能源光電外國學生專班 10 0 化工所EOMP合開

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-2	357050	程序最適化	1	3.0	3	★	蕭郁達	化工所能源光電外國學生專班	10	0	化工所EOMP合開

教學大綱與進度：

教師姓名蕭郁達　教師諮商時間(Office Hours)

Email ydhsiao@ntut.edu.tw

最後更新時間 2026-02-26 15:44:24

課程大綱本課程說明程序最適化的基本原理，介紹化工程序及能源系統中常見的最適化策略。內容包括：最適化理論及演算法、數學規劃與建模技巧、最適化於化工問題及能源議題之應用。 This course aims to introduce optimisation basics and common optimisation strategies in chemical processes and energy systems. The contents include optimisation theory and algorithms, mathematical programming and modelling techniques, and applications to chemical engineering problems and energy issues.

課程進度 PART I: Heat Exchanger Network (HEN) Synthesis Topic 1 – Composite Curves and Network Targets Topic 2 – Problem Table Algorithm Topic 3 – Pinch Technology Topic 4 – Transshipment Model Topic 5 – Superstructure Model PART II: Formulations of Optimization Problems Topic 6 – Objective Functions and Constraints Topic 7 – Linear Programming for Problem Solving Topic 8 – Nonlinear Programming for Problem Solving Topic 9 – Mixed-Integer Programming for Problem Solving Topic 10 – Seminar and Discussions on the Selected Papers

評量方式與標準 Assignments 70% Quiz 20% Written Report 10%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
1. Self-made materials 2. R. Smith, “Chemical Process Design and Integration, 2nd Edition”, John Wiley & Sons, Inc., 2016. 3. J. M. Ponce-Ortega, R. Ochoa-Barragán, C. Ramírez-Márquez, “Optimization of Chemical Processes: A Sustainable Perspective”, Springer Nature, 2024.

課程諮詢管道 Email

延伸教學與資源 ● 無 (None)

課程對應SDGs指標 SDG6：潔淨水與衛生（Clean Water and Sanitation）
SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

課程是否導入AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

備註
Prerequisite knowledge:
Material and Energy Conservation, Calculus, Unit Operation

教師姓名	蕭郁達　教師諮商時間(Office Hours)
Email	ydhsiao@ntut.edu.tw
最後更新時間	2026-02-26 15:44:24
課程大綱	本課程說明程序最適化的基本原理，介紹化工程序及能源系統中常見的最適化策略。內容包括：最適化理論及演算法、數學規劃與建模技巧、最適化於化工問題及能源議題之應用。 This course aims to introduce optimisation basics and common optimisation strategies in chemical processes and energy systems. The contents include optimisation theory and algorithms, mathematical programming and modelling techniques, and applications to chemical engineering problems and energy issues.
課程進度	PART I: Heat Exchanger Network (HEN) Synthesis Topic 1 – Composite Curves and Network Targets Topic 2 – Problem Table Algorithm Topic 3 – Pinch Technology Topic 4 – Transshipment Model Topic 5 – Superstructure Model PART II: Formulations of Optimization Problems Topic 6 – Objective Functions and Constraints Topic 7 – Linear Programming for Problem Solving Topic 8 – Nonlinear Programming for Problem Solving Topic 9 – Mixed-Integer Programming for Problem Solving Topic 10 – Seminar and Discussions on the Selected Papers
評量方式與標準	Assignments 70% Quiz 20% Written Report 10%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 1. Self-made materials 2. R. Smith, “Chemical Process Design and Integration, 2nd Edition”, John Wiley & Sons, Inc., 2016. 3. J. M. Ponce-Ortega, R. Ochoa-Barragán, C. Ramírez-Márquez, “Optimization of Chemical Processes: A Sustainable Perspective”, Springer Nature, 2024.
課程諮詢管道	Email
延伸教學與資源	● 無 (None)
課程對應SDGs指標	SDG6：潔淨水與衛生（Clean Water and Sanitation） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG12：負責任的消費與生產（Responsible Consumption and Production）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
備註	Prerequisite knowledge: Material and Energy Conservation, Calculus, Unit Operation