Course desc<x>ription:
<br>This course aims to lead students to further strengthen their knowledge in 
<br>thermophysical principles and transport phenomena. The theme is the 
<br>application of those fundamental principles in energy systems engineering. 
<br>Students should leave the course with confidence and sufficient abilities to 
<br>readily apply techniques as engineers on the design and analysis encountered 
<br>in a variety of emerging sustainable and renewable energy systems. A hands-
<br>on project will be carried out as the platform for students to learn by 
<br>doing. Students should also be able to readily use the basic computer 
<br>software in solving energy related problems, as well as having a clear concept 
<br>when utilizing advanced commercial software in solving engineering problems. 
<br>The skills developed in this course will be applied in the semester-long 
<br>project to practice the detailed design of a complete sustainable energy 
<br>system. The ob<x>jective is to translate the statement of an energy system 
<br>analysis and design problem into a series of tasks and step-by-step practices.
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<br>References:
<br>1. Y.A. &#199;engel and M.A. Boles, Thermodynamics: An Engineering Approach 
<br>(McGraw-Hill)
<br>2. B.R. Munson and T. H. Okiishi et al., Fluid Mechanics (Wiley)
<br>3. F.P. Incropera and D. P. DeWitt et al., Principles of Heat and Mass 
<br>Transfer (Wiley)
<br>4. R.A. Dunlap, Sustainable Energy 2nd edition (Cengage Learning)
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<br>Topics:
<br>1. Introduction of course, The basics of energy conversion
<br>2. Review of basic thermodynamics and thermosystems
<br>3. Review of fluid dynamics
<br>4. Review of fundamental heat transfer
<br>5. Overview of HVAC system and thermal comfort, Green building
<br>6. Solar thermal energy systems
<br>7. Wind, Hydropower, Wave and Tidal energy systems
<br>8. Oceanthermal and Geothermal energy systems
<br>9. Hydrogen energy, Biomass energy 
<br>10.Nanotechnology for renewable and sustainable energy
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<br>Evaluation:
<br>Homework, Midterm exam, Final project, Labs and quiz, Class participation
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<br>基於透明與負責任的原則，本課程鼓勵學生利用AI進行協作或互學，以提升本門課產出品質。根據
<br>本校公布之「大學教育場域AI協作、共學與素養培養指引」，本門課程採取有條件開放，說明如下
<br>
<br>學生須於課堂作業或報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議
<br>題發想、文句潤飾或結構參考等使用方式。若經查核使用卻無在作業或報告中標明，教師、學校或相
<br>關單位有權重新針對作業或報告重新評分或不予計分。
<br>本門課授課教材或學習資料若有引用自生成式AI，教師也將在投影片或口頭標注。
<br>修讀本課程之學生於選課時視為同意以上倫理聲明。
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<br>Ethics Statement on Generative Artificial Intelligence
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<br>Grounded in the principles of transparency and responsibility, this course 
<br>encourages students to leverage AI for collaboration and mutual learning to 
<br>enhance the quality of course outputs. In accordance with the published 
<br>Guidelines for Collaboration, Co-learning, and Cultivation of Artificial 
<br>Intelligence Competencies in University Education, this course adopts the 
<br>following policy: Conditionally open
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<br>Students must briefly explain how generative AI was used for topic ideation, 
<br>sentence refinement, or structural reference in the footnotes of the ti<x>tle 
<br>page 
<br>or after the reference in their assignments or reports. If usage is discovered 
<br>without proper disclosure, instructors, the institution, or relevant units have 
<br>the right to reevaluate the assignment or report or withhold scores. If the 
<br>course materials or learning resources have been derived from generative AI, the 
<br>instructor will also indicate this in the slides or orally. Students enrolled in 
<br>this course agree to the above ethics statement if registering for the class.