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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許鉅秉 | zh_TW |
| dc.contributor.advisor | Jiuh-Biing Sheu | en |
| dc.contributor.author | 邱靖詒 | zh_TW |
| dc.contributor.author | Ching-Yi Chiu | en |
| dc.date.accessioned | 2025-07-02T16:26:23Z | - |
| dc.date.available | 2025-07-03 | - |
| dc.date.copyright | 2025-07-02 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-06-18 | - |
| dc.identifier.citation | 1. Backstrom, J. D., Gillenwater, M., Inman, C., & Brander, M. (2024). Corporate Power Purchase Agreements and Renewable Energy Growth. SSRN
2. Chaiken, B., Duggan, Jr. J. E., & Sioshansi, R. (2021). Paid to produce absolutely nothing? A Nash-Cournot analysis of a proposed power purchase agreement. Energy Policy. 156(C). 3. Chuang, J., Lien, Hsing-Lung, Den, W., Iskandar, L., and Liao, Pei-Hsuan. (2018). The relationship between electricity emission factor and renewable energy certificate: The free rider and outsider effect. Sustainable Environment Research, (28) 6, 422-429. https://doi.org/10.1016/j.serj.2018.05.004 4. Climate Action Tracker. (2023). 2100 Warming Projections: Emissions and expected warming based on pledges and current policies. 5. EMBER. (2023). Global Electricity Review 2023. 6. Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2021). Making green power purchase agreements more predictable and reliable for companies. Decision Support Systems 144, 113514. https://doi.org/10.1016/j.dss.2021.113514 7. Green Peace. (2024). A forecast of tech supply chain emissions and electricity consumption by 2030. 8. Huneke, et al. (2018). Power Purchase Agreements: Financial Model for Renewable Energies. Energy Brainpool 9. Hustveit, M., Frogner, J. S., & Fleten, Stein-Erik. (2017). Tradable green certificates for renewable support: The role of expectations and uncertainty. Energy, 141(15), 1717-1727. https://doi.org/10.1016/j.energy.2017.11.013 10. International Energy Agency. (2024). Lify cycle Upstream Emission Factors 2024. IEA. 11. Intergovernmental Panel on Climate Change. (2018). Special Report: Global Warming of 1.5°C. IPCC. 12. Intergovernmental Panel on Climate Change. (2021). Sixth Assessment Report. IPCC. 13. International Renewable Energy Agency. (2024). Renewable Power Generation Costs In 2023. IRENA. 14. Jain, S. (2022). Exploring structures of power purchase agreements towards supplying 24x7 variable renewable electricity. Energy, 244(A), 122609. https://doi.org/10.1016/j.energy.2021.122609 15. Kobus, J., Nasrallah, A. I., & Guidera, J. (2021). The Role of Corporate Renewable Power Purchase Agreements in Supporting Us Wind and Solar Deployment. Columbia University CGEP 16. Langer, L., Brander, M., Lloyd, S. M., Keles, D., Matthews, H. D., & Bjørn, A., (2024). Does the purchase of voluntary renewable energy certificates lead to emission reductions? A review of studies quantifying the impact. Journal of Cleaner Production 17. Lind, A., Rosenberg, E. (2014). How Do Various Risk Factors Influence the Green Certificate Market of Norway and Sweden? Renewable Energy Research Conference 18. Mendicino, L., et al. (2019). Corporate power purchase agreement: Formulation of the related levelized cost of energy and its application to a real life case study. Applied Energy, 253, 113577. https://doi.org/10.1016/j.apenergy.2019.113577 19. Miao, S., Menniti, D., Pinnarelli, A., & Sorrentino, N. (2017). Cost-Effective Reduction of Greenhouse Gas Emissions via Cross-Sector Purchases of Renewable Energy Certificates. SAE International Journal of Materials and Manufacturing 20. Pineda, S., Bock, A. (2016). Renewable-based generation expansion under a green certificate market. Renewable Energy, 91, 53-63. https://doi.org/10.1016/j.renene.2015.12.061 21. SEMI Energy Collaborative. (2024). Challenges and Potential Solutions for Expansion and Procurement of Low-Carbon Electricity in Taiwan. 22. Shehzadi, A., Wetzel, H. (2024). Self-generation and outage losses: A firm-level analysis for emerging and developing Asian countries. Energy Reports, 11, 2832- 2840. https://doi.org/10.1016/j.egyr.2024.02.042 23. Tian, X., He, Y., Song, D., & Guang, F. (2016). Research on the Mode of Generation Rights Trade between Renewable Energy and Self-generation Power Plants Based on Cooperative Game Theory 24. TrendForce. (2024). [News] TSMC’s Electricity Demand Could Triple by 2030, Raising Concerns on Taiwan’s Power Supply. 25. U.S. Department of Energy. (2023). At COP28, countries launch declaration to triple nuclear energy capacity by 2050, recognizing the key role of nuclear energy in reaching net zero. https://www.energy.gov/articles/cop28-countries-launch- declaration-triple-nuclear-energy-capacity-2050-recognizing-key 26. World Bank Group. (2024). State and Trends of Carbon Pricing Dashboard. https://carbonpricingdashboard.worldbank.org/ 27. World Commission on Environment and Development. (1983). Our Common Future. WCED. 28. World Economic Forum. (2024). The Global Risks Report 2024: 19th Edition. WEF. 29. 經濟部(2024)。113 年度各類別再生能源電能躉購費率。 30. 台灣電力公司(2025)。各種發電方式之發電成本。 31. 經濟部標準檢驗局(2023)。再生能源憑證交易制度及綠電交易介紹。 32. 台灣積體電路製造股份有限公司(2024)。2023 年永續報告書。 33. 台灣電力公司(2024)。核電廠簡介。 34. 國際半導體產業協會、能源合作組織(2024)。台灣低碳能源採購挑戰與解方。國際半導體產業協會。 35. 沃旭能源新聞中心(2020)。沃旭能源和台灣積體電路製造股份有限公司簽署全球最大的企業再生能源購售電契約。沃旭能源。 36. 陳冠婷、陳彥豪、尤晴韻、馬雲琭、左峻德(2021)。台灣再生能源憑證市場與發展趨勢介紹。台灣經濟研究月刊，44(9)，78–86。 37. 綠色和平(2023)。RE10×10 企業綠電倡議 2022 年度報告。綠色和平東亞分部。 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/97554 | - |
| dc.description.abstract | 全球半導體需求因地緣政治、疫情與 AI 技術發展迅速攀升，然而，隨著製程技術精進，晶圓廠的能源消耗同步上升，使得能源使用與碳排放控制成為產業轉型中的重大挑戰。面對國際淨零排放目標與供應鏈減碳要求，企業必須在追求技術領先與環境永續之間取得平衡，提升再生能源使用比例，強化營運韌性與競爭力。過去文獻較少針對高耗能製造業探討企業如何做多元再生能源資源配置，以穩定達成長期再生能源目標。因此，本研究旨在針對企業再生能源使用之策略做量化分析，期能提供其他企業作為制定能源轉型策略的參考。本研究以台積電為研究對象，建構一個多階段資源配置優化模型，納入自主發電、再生能源購電協議 (PPA) 與再生能源憑證 (REC) 三種策略選項，並考量資源供應限制、需求成長率與政策情境變動，進行敏感度分析與情境模擬，目標為協助企業在不同外部條件下，制定符合成本效益與永續發展需求的能源轉型路徑。研究結果顯示，再生能源購電協議 (PPA) 為企業在中長期最具成本效益的再生能源取得方式，而再生能源憑證 (REC) 則可作為過渡階段達成短期目標的輔助措施。在台灣再生能源發展符合既定政策路徑的情境下，企業應及早簽訂長期購電協議，以鎖定未來所需之再生能源電力供應量並穩定成本。進一步的情境分析亦指出，若政策允許開放低碳核能電力供應，將可有效降低企業對再生能源憑證的依賴，並顯著減少整體能源轉型成本。 | zh_TW |
| dc.description.abstract | The semiconductor industry’s rising energy consumption, driven by technological advancement and growing global demand, has made energy management and carbon reduction critical challenges. This study focuses on how high-energy-consuming manufacturers can allocate renewable energy resources to meet long-term sustainability goals. Using TSMC as a case study, a multi-stage optimization model is developed, incorporating self-generation, power purchase agreements (PPAs), and renewable energy certificates (RECs), while considering supply constraints and demand growth. Results show that PPAs are the most cost-effective long-term strategy, with RECs serving as a short-term supplement. Scenario analysis further reveals that allowing low-carbon nuclear power procurement could significantly reduce REC reliance and overall transition costs. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-07-02T16:26:23Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-07-02T16:26:23Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 致謝 I
摘要 II Abstract III 目次 IV 表次 VI 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 4 1.3 研究對象與架構 5 1.3.1 研究對象 5 1.3.2 研究架構 5 第二章 文獻回顧 7 2.1 淨零排放 7 2.2 企業再生能源自主發電 8 2.3 再生能源購電協議 (POWER PURCHASE AGREEMENT, PPA) 9 2.4 再生能源憑證 (RENEWABLE ENERGY CERTIFICATES, RECS) 12 2.5 台積電現況 18 第三章 研究方法 21 3.1 數學模型建構概念 21 3.2 成本估計方式 22 3.3 建構多目標模型 25 3.3.1 經濟淨成本模型 25 3.3.2 環境淨效益模型 26 第四章 實證資料數值分析 30 4.1 各參數之假設 30 4.1.1 各成本 Ci 之假設 30 4.1.2 各項單位減碳量變數 Ri 與單位碳費 CT 之假設 31 4.1.3 各階段總電量與再生能源電力需求量之假設 32 4.1.4 各項再生能源電力來源之上下限假設 33 4.2 數值分析 35 4.3 敏感度分析 36 4.4 情境分析 40 4.4.1 開放核能假設分析 41 4.4.2 模型目的與實證結果 44 第五章 結論與建議 47 5.1 結論 47 5.2 研究限制 49 5.3 建議 50 參考文獻 52 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 半導體產業 | zh_TW |
| dc.subject | 最佳化 | zh_TW |
| dc.subject | 碳排淨零 | zh_TW |
| dc.subject | 資源配置 | zh_TW |
| dc.subject | 再生能源 | zh_TW |
| dc.subject | Optimal | en |
| dc.subject | Renewable Energy | en |
| dc.subject | Resource Allocation | en |
| dc.subject | Net-Zero Emissions | en |
| dc.subject | Semiconductor Industry | en |
| dc.title | 碳排淨零下再生能源需求管理及效益分析-以半導體製造商為例 | zh_TW |
| dc.title | Managing Renewable Energy Demand and Evaluating Its Benefits Toward Net Zero Emissions: A Case Study of the Semiconductor Manufacturing Sector | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 郭人介;陳穆臻 | zh_TW |
| dc.contributor.oralexamcommittee | Ren-Jieh Kuo;Mu-Chen Chen | en |
| dc.subject.keyword | 再生能源,資源配置,碳排淨零,半導體產業,最佳化, | zh_TW |
| dc.subject.keyword | Renewable Energy,Resource Allocation,Net-Zero Emissions,Semiconductor Industry,Optimal, | en |
| dc.relation.page | 55 | - |
| dc.identifier.doi | 10.6342/NTU202500948 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-06-19 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 商學研究所 | - |
| dc.date.embargo-lift | 2030-06-17 | - |
| 顯示於系所單位： | 商學研究所 | |
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