( 您好!臺灣時間:2021/03/04 17:54
字體大小: 字級放大   字級縮小   預設字形  


研究生(外文):chia chun wu
論文名稱:探討企業如何選擇 最佳綠電方案 以因應全球暖化
論文名稱(外文):Discuss the Decision-Making for Enterprise to Select the Best Green Electricity Options Response to Global Warming
指導教授(外文):Chi-Tai Wang
外文關鍵詞:Electricity contractelectricity market liberalization
  • 被引用被引用:0
  • 點閱點閱:81
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
The purpose of this paper is to let enterprise make the choice of power contract schemes when all power users will face in the future after the liberalization of the Taiwan power market. Another regulation on renewable energy development also stipulates that major electricity users must set a certain proportion of renewable energy device to achieve the goal of nuclear-free home. In addition to the law and global warming consideration, there are also have options for enterprise to using a specific renewable energy device. Now, there are already some local governments that implement autonomous regulations, such as Tainan, Taoyuan and Taichung.
With the legal regulations, first in this paper wants to discuss the best choice decision for Taiwanese electricity consumers base on regulation. Second, expand to the specific ratio of renewable energy then consider the case of reducing the proportion of carbon dioxide. The power contract scheme in this study refers to foreign contracts and the concept of energy management. It sets a one-year contract based on a fixed-price calculation to simulate Taiwan future power market. In addition, considering the setting of solar panels to increase the generation of renewable energy. let the major power users who must use renewable energy or the power users who want to use renewable energy have the indicators for decision-making.
This paper develops mathematical models using mixed integer programming. The target is based on the cost of different contract schemes choices, net cost of solar energy and environmental cost. Ensure the green energy using the ratio as the limited equation, using planning software to get the optimal solution and the minimum cost. The optimal decision result can be used by power users as an indicator of relevant decisions.
中文摘要 i
Abstract ii
Table of Contents iii
List of Figures v
List of Tables vi
Chapter 1. Introduction 1
1.1 Background and Motivation 1
1.2 Purpose of Research 3
1.3 Thesis Organization 4
Chapter 2. Electricity Background and Literature Review 5
2.1 Background of Electricity Markets 5
2.2 Enterprise Energy Management 14
2.3 Method of Retailer Strategic Choice 17
Chapter 3. Problem Definition and Methodology 19
3.1 Problem Definition 19
3.2 Methodology 21
Chapter 4. Mathematical Model 22
4.1 Assumptions 22
4.2 Notation 23
4.3 Mathematical Math 25
Chapter 5. Scenario Design and Result Discussion 28
5.1 Scenarios Design 28
5.2 Data Collection and Parameter Setting 31
5.3 Experiment Result and Discussion 38
Chapter 6. Conclusion 50
6.1 Thesis Conclusion 50
6.2 Future work 50
References 51
English References
1. Bouras A. (2016). Using Goal Linear Programming to Manage Natural Gas Take-Or-Pay Contract Clauses in Electricity Generation. Journal of Natural Gas Science and Engineering, Vol.35, pp.1228-1238.
2. Charwand, M., Ahmadi, A., Siano, P., Dargahi,V., Sarno D. (2015). Exploring The Trade-Off Between Competing Objectives for Electricity Energy Retailers Through a Novel Multi-Objective Framework. Energy Conversion and Management, Vol.91, pp.12-18.
3. Check24 website. German power company price comparison website. (Accessed Sep 16, 2019 at https://www.check24.de/strom-gas/)
4. Goett, A., Hudson K., Train, K. (2000). Customers’ Choice Among Retail Energy Suppliers: The Willingness-to-Pay for Service Attributes. The Energy Journal, Vol.21, Issue:4, pp.1-28.
5. Gürtürka, M., Benlib, H., Ertürka, N. K. (2018). Effects of different parameters on energy – Exergy and power conversion efficiency of PV modules. Renewable and Sustainable Energy Reviews. Vol. 92, pp.426-429.
6. Hatami, A. R., Seifi, H., Sheikh-El-Eslami, M. K. (2009). Optimal Selling Price and Energy Procurement Strategies for A Retailer in an Electricity Market. Electric Power Systems Research, Vol.79, pp.246–254.
7. Intergovernmental Panel on Climate Change of the United Nations, IPCC (2013). Climate Change 2013 The Physical Science Basis Summary for Policymakers.
8. Kirschen, D. S. (2003). Demand-Side View of Electricity Markets. IEEE Transactions On Power Systems, Vol.18, No.2.
9. Lave, L. B., Apt, J., Blumsack, S. (2004). Rethinking Electricity Deregulation. The Electricity Journal, Vol.17, pp.11-26.
10. Malatji, E. M., Zhang, J., Xia, X. (2013). A Multiple Objective Optimization Model for Building Energy Efficiency Investment Decision. Energy and Buildings, Vol.61, pp.81-87.
11. Morey, M. J., Kirsch, L. D. (2016). Retail Choice in Electricity: What Have We Learned in 20 Years? Technical report. Christensen Associates Energy Consulting, LLC.
12. National Renewable Energy Laboratory, NERL. (2016), Distributed Generation Renewable Energy Estimate of Costs.
13. North American Electric Reliability Corporation, NERC. (2011), Demand Response Availability Data System (DADS): Phase I & II Final Report.
14. Pechmanna, A., Zartea, M. (2017). Procedure for Generating a Basis for PPC Systems to Schedule the Production Considering Energy Demand and Available Renewable Energy. Procedia CIRP 64, pp.393 – 398.
15. Peng, X., Tao, X. (2018). Cooperative Game of Electricity Retailers in China's Spot Electricity Market. Energy, Vol.145, pp.152-170.
16. Prabavathi, M., Gnanadass, R. (2015). Energy Bidding Strategies for Restructured Electricity Market. Electrical Power and Energy Systems, Vol.64, pp.956-966.
17. San Cristóbal, J. R. (2011). Multi-Criteria Decision-Making in The Selection of a Renewable Energy Project in Spain: The Vikor Method. Renewable Energy, Vol. 36, pp.498-502.
18. Srivastava, A. K., Kamalasadan, S., Patel, D., Sankar, S., Al-Olimat, K. S. (2011). Electricity Markets: An Overview and Comparative Study. International Journal of Energy Sector Management, Vol.5, pp.169-200.
19. Verivox website. German power company price comparison website. (Accessed Sep 01, 2019 at https://www.verivox.de/)
20. Vesterberg, M. (2018). The effect of price on electricity contract choice. Energy Economics, Vol.69, pp.59-70.
21. World Bank, Ecofys. (2018). State and Trends of Carbon Pricing 2018. Washington, DC: World Bank.
22. Zhang, Q., Grossmann, I. E. (2016). Enterprise-Wide Optimization for Industrial Demand Side Management: Fundamentals, Advances, and Perspectives. Chemical Engineering Research and Design, Vol.116, pp.113-131.
23. 王京明。(2017)。我國綠能先行下電力轉型風險分析。能源資訊平台:能源簡析。
24. 主計處統計專區。(2016)。普查總和報告統計表:工業及服務業企業單位數-按縣市別及小行業別分。中華民國統計資訊網。網址:https://www.dgbas.gov.tw/public/Data/dgbas04/bc2/105census/X00/20101600.pdf (上網日期:2018/06/25)
25. 台中市經濟發展局。(2018)。市府公告用電大戶裝設再生能源發電系統。公用事業業務。
26. 台灣電力公司。(2016)。資訊揭露-電價知識專區:工業電價。網址:https://www.taipower.com.tw/tc/page.aspx?cchk=1b3221ee-37c3-4811-9d4d-a1bb215f33c8&cid=351&mid=213 (上網日期:2019/08/13)
27. 台灣電力公司。(2017)。再生能源發電概況:105 年再生能源發電量。網址: https://www.taipower.com.tw/tc/page.aspx?mid=204&cid=154&cchk=0a47a6ed-e663-447b-8c27-092472d6dc73(上網日期:2018/03/31)
28. 台灣電力公司。(2018)。縣市工業售電資訊。網址:https://www.taipower.com.tw/tc/page.aspx?mid=102(上網日期:2018/03/31)
29. 台灣電力公司。(2109)。資訊揭露-購入電力概況-再生能源:各縣市太陽光電容量因數。網址:https://www.taipower.com.tw/tc/page.aspx?mid=207&cid=165&cchk=a83cd635-a792-4660-9f02-f71d5d925911 (上網日期:2019/08/02)
30. 再生能源發展條例。(2019)。華總一經字第10800043621號令修正公布。全國法規資料庫。
31. 再生能源電能躉購費率及其計算公式。(2019)。經能字第10804603200號。
32. 行政院。(2018)。能源政策專案報告。立法院第9屆第5會期。
33. 行政院環境保護署。(2018)。第一期溫室氣體階段管制目標。院臺環字第1060044127號函核定。
34. 桃園市政府經濟發展局。(2018)。桃園投資通招商網。桃園開放資料平台。
35. 桃園市政府經濟發展局。(2018)。產業類別及行政區域家數。桃園開放資料平台。
36. 高雄市工務局。(2016)。建築物工程造價及調整原則。高市工務建字第10534080400號。
37. 國家再生能源憑證中心。(2019)。再生能源憑證價格參考表。網址:https://www.trec.org.tw/documents (上網日期:2019/08/31)
38. 陳文姿。(2019)。企業搶不到綠電!能源局解套:四方案「多選」組合,代金應「不便宜」。環境資訊中心。網址:https://e-info.org.tw/node/218039 (上網日期:2019/09/01 )
39. 陳彥豪、陳彥霖、陳靜萱。(2018)。再生能源憑證。台灣經濟研究院:台灣各產業景氣趨勢調查報告,第24章。
40. 陳彥豪。(2018)。我國自願性再生能源憑證市場發展趨勢與機會。台灣經濟研究院。
41. 黃志文。(2018)。我國自願性再生能源憑證現況與發展。經濟部標準檢驗局-國家再生能源憑證中心。
42. 溫室氣體減量及管理法。(2015)。華總一義字第 10400077011 號令制定公布。全國法規資料庫。
43. 經濟部能源局。(2015)。全國電力排放係數。能源產業溫室氣體減量資訊網。
44. 經濟部能源局。(2016)。電業法修正專區─電業法修法簡介。網址:https://www.economic-news.tw/2016/10/Introduction-Electric-Industry-Law.html(上網日期:2018/03/14)
45. 經濟部能源局。(2017)。工業部門電力消費。能源統計月報。
46. 經濟部能源局。(2018)。能源統計月報-電力消費_歷年。網址:https://web3.moeaboe.gov.tw/ECW/populace/web_book/WebReports.aspx?book=M_CH&menu_id=142(上網日期:2018/06/25)
47. 電業法修正草案條文對照表。(2015)。立法院議案關係文書。院總第660號 政府提案第15317號,立法院第8屆第8會期第1次會議議案關係文書
48. 電業法條文。(2017)。華總一義字第 10600011591號令修正公布。全國法規資料庫。
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔